Rare Earth Doped Ceria: The Complex Connection Between Structure and Properties
- 1ESRF - The European Synchrotron, Grenoble, France
- 2Dipartimento di Chimica, Università degli Studi di Milano, Milan, Italy
- 3Istituto di Scienze e Tecnologie Molecolari, CNR, Milan, Italy
The need for high efficiency energy production, conversion, storage and transport is serving as a robust guide for the development of new materials. Materials with physical-chemical properties matching specific functions in devices are produced by suitably tuning the crystallographic- defect- and micro-structure of the involved phases. In this review, we discuss the case of Rare Earth doped Ceria. Due to their high oxygen diffusion coefficient at temperatures higher than ~500°C, they are very promising materials for several applications such as electrolytes for Solid Oxide Fuel and Electrolytic Cells (SOFC and SOEC, respectively). Defects are integral part of the conduction process, hence of the final application. As the fluorite structure of ceria is capable of accommodating a high concentration of lattice defects, the characterization and comprehension of such complex and highly defective materials involve expertise spanning from computational chemistry, physical chemistry, catalysis, electrochemistry, microscopy, spectroscopy, and crystallography. Results coming from different experimental and computational techniques will be reviewed, showing that structure determination (at different scale length) plays a pivotal role bridging theoretical calculation and physical properties of these complex materials.
Pure and doped cerium oxides have high catalytic, oxygen exchange and charge transport performances. The pure compound easily exchanges oxygen with the atmosphere and undergoes oxidation-reduction cycles, based on the Ce3+/Ce4+ redox couple, making CeO2 useful for many catalytic processes especially in nanostructured form, to maximize the surface to bulk ratio. On the other hand, doping with lower valent cations (e.g., trivalent rare earth cations, RE3+) depresses Ce3+ concentration and introduces a huge amount of oxygen vacancies (VOs) so increasing the O diffusion coefficient, paving the way to high ionic conductivity at reasonable low T-values (500–700°C). Hence, RE-doped CeO2 solid solutions are candidates for applications as electrodes and/or electrolytes in Solid Oxide Fuel Cells (SOFC) and Electrolysis Cells (SOEC).
Nevertheless, doping introduces a large amount of defects which form complex and hierarchical architectures depending on dopant nature and amount, crystallite size, and even synthetic path. Defects architectures deeply affect the structure at different length scales with not obvious consequences on physical properties.
The combination of technological interest and tricky scientific problems attracted the attention of the scientific community in the last decades like flies to honey resulting in hundreds of research and review papers covering a wide part of material science spectrum. In fact, the characterization and comprehension of such complex and highly defective materials involve expertise spanning from computational chemistry to physical chemistry, catalysis, electrochemistry, spectroscopy, microscopy and crystallography making a hard task to build a summa of existing literature.
We do not pretend to climb such a high mountain. This review addresses the close relationship among defect chemistry, structure, and physical properties. Some recent results from various experimental and computational techniques will be reviewed, showing that structure determination (at different scale length) plays a pivotal role bridging theoretical calculations and physical properties.
After a brief introduction on technological applications, we will introduce the defect chemistry of pure and doped cerium oxide. Then structural, spectroscopic and computational tools adopted to investigate them are reviewed and discussed.
Technological Applications of CeO2-Based Materials
Ceria is one of the most studied mixed ionic and electronic conducting materials and benefits of outstanding redox properties associated to the easy interconversion between Ce(III) and Ce(IV) (Trovarelli, 1996). Its applications span from three-way catalyst in automotive industry to electrolyte in Solid Oxide Fuel Cells (Montini et al., 2016).
SOFCs at intermediate (500° < T < 700°C) and high temperature (T>800°C) have high energy conversion efficiency and high compatibility with many fuels without suffering from CO poisoning. They are promising devices for innovative energy applications where ceria derivatives can be used in different ways, as a catalyst in both cathodes and anodes, as protective layer on cathodes to limit aggressive action of Y2O3 stabilized ZrO2 (ZYO) electrolyte, and as electrolyte (Montini et al., 2016).
Ceria is a very interesting anodic material thanks to its capability of oxidizing carbon containing fuels (Park et al., 1999; McIntosh and Gorte, 2004) while still showing an extended electrochemically active area. Although undoped CeO2 is not a good ionic conductor, doping with lower valent oxides, like e.g., Samaria, induces the formation of VOs thus increasing oxygen ion conductivity thanks to a vacancy jump mechanism (Koettgen et al., 2018). Performance can be enhanced by improving the ionic conductivity of the anode (Zhu and Deevi, 2003). Similar results have been obtained for gadolinium doped ceria (CGO) (Nakamura et al., 2008; DeCaluwe et al., 2010; Chueh et al., 2011; Papaefthimiou et al., 2013; Feng et al., 2014), which is characterized by both high surface electroactivity toward H2 oxidation and mixed ionic/electronic conductivity at high temperatures (Nakamura et al., 2008; DeCaluwe et al., 2010; Chueh et al., 2011; Papaefthimiou et al., 2013; Feng et al., 2014; Riegraf et al., 2017). Anode tolerance to sulfur is an important property since sulfur, contained in SOFC fuel as natural gas and bio gas, is a detrimental poison for the cell efficiency (Riegraf et al., 2017). To overcome this problem and increase sulfur tolerance, Cu and Ni were added on the anode surface with promising results (He et al., 2005; Riegraf et al., 2017). The use of a Cu-CGO in H2-feeded SOFC maintains fuel cell performance in the presence of sulfur-based impurity levels up to 445 ppm (He et al., 2005). As to Ni-CGO anodes for CO conversion tolerance has been demonstrated at H2S concentrations up to 20 ppm (see Figure 1) and the sulfur poisoning behavior was reversible for the investigated short exposure times (Riegraf et al., 2017). Also, infiltration of CGO nanoparticles into porous Ni-CGO-based SOFC reduces sulfur poisoning and is beneficial to stabilizing the performances of SOFCs: infiltrated SOFCs show stable performance with sulfur contaminated fuel for over 290 h, while unmodified SOFCs become inoperative after 60 h (Hays et al., 2018).
Figure 1. i–V curves of the (A) Ni/CGO- and (B) Ni/YSZ-based cells. Experiments were conducted at 850°C. The reformate consisted of gas mixture IV (blue) containing 7% H2, 7% H2O, 20% CO, 20% CO2, and 46% N2, and the reference mixture V (red) consisted of 7% H2, 7% H2O, 86% N2. i–V curves were recorded with (squares) and without (circles) the addition of 20 ppm of H2S. Reprinted with permissions from Riegraf et al. (2017). © 2017 American Chemical Society.
Anodes based on Ni-Samaria-doped ceria (Ni-CSO) show better long-term durability and performance in SOFCs fueled with humidified methane than Ni-ZYO. This improvement was attributed to higher catalytic activity and electronic conductivity of Ni-CSO (Lee et al., 2013).
Another important parameter affecting SOFC performances is the morphology of the catalyst used as anode. As reported in Montini et al. (2016) Pd@CeO2 core–shell systems have good activity as anode in a SOFC fed by hydrogen and methane. The core–shell structure provides an extra stabilization enhancing high temperature performance (Adijanto et al., 2013).
Ceria can be also used as a protective layer on cathodes of SOFC to limit the aggressive action of ZYO electrolytes (Montini et al., 2016). Cathode in high-performance SOFCs are usually based on La1−xSrxCo1−yFeyO3−δ. When they are applied on ZYO an interlayer of SrZrO3 is formed, which modifies the resistance toward worse performance. This undesired reaction can be limited by introducing a layer of CGO between lanthanum-modified oxide and ZYO (Szász et al., 2017). This interlayer can interdiffuse in ZYO, improving performances, but it is strongly dependent on the CGO sintering temperature (Szász et al., 2017).
Due to their peculiar ionic conductivity, ceria and ceria-derivatives are extensively studied as solid electrolytes in SOFC for intermediate and low temperatures (Inaba and Tagawa, 1996). A high oxygen ion conductivity in the electrolyte is necessary to obtain good performance, and, among challenging materials, the very promising ones are rare-earth (RE) doped ceria Ce1−xRExO2−x/2 (Mogensen et al., 2000). As observed above, an increase in ionic conductivity is obtained by increasing VOs through doping ceria. Gadolinium, samarium and yttrium are typical dopants (Steele, 2000; Montini et al., 2016). Bulk ionic conductivity of rare earths doped ceria will be the main subject of section Defect Chemistry and Transport Properties.
Crystal size is another important parameter since for polycrystalline samples bulk and grain boundary domains affect conductivity differently. In the bulk, oxygen ions jump through the regular lattice, but at grain boundaries they do along or across dislocations and in space charge zones. For small dopant fractions, grain boundary conductivity is low thus limiting the total conductivity. Instead, for large dopant concentration, the conductivity is defined by the low bulk conductivity. Nanostructuring causes a conductivity enhancement due to a larger contribution of grain-boundary conductivity in comparison with traditional polycrystalline solids (Koettgen et al., 2018) and also a better electrode activity (Tuller, 2000; Guo et al., 2002). Macroscopic charge transport through nanometric materials can be attained by means of high-pressure spark plasma sintering processes that form dense samples (>99%) without growing nanoparticles (Anselmi-Tamburini et al., 2006).
All these aspects are also important when cerium based materials are applied in SOECs, where they play the same role as in SOFC. In these devices hydrogen, carbon monoxide or syngas can be obtained by high temperature electrolysis of CO2 and H2O (Duboviks et al., 2014). However, there are drawbacks in SOECs based on zirconia-derived electrolyte that prevented their commercialization so far. The most important is the deposition of carbon at the electrode-electrolyte interface, demonstrated by Raman spectroscopy (Duboviks et al., 2014). Carbon at the interface reduces the number of active sites and, in the worst case, delaminate the interface (Navasa et al., 2018). This is especially relevant when the co-electrolysis of CO2 and H2O is performed at high current densities. The presence of an interlayer of ceria derivatives between Ni-based electrode and Ni-ZYO electrolyte improve performances (Navasa et al., 2018), owing to different carbon deposition characteristics of ceria and Ni-ZYO (Duboviks et al., 2015; Li et al., 2015; Hartvigsen et al., 2017).
Defect Chemistry and Transport Properties
The outstanding properties described above are closely related to the high oxygen diffusion coefficient and to the capability of pure and doped ceria of exchanging oxygen with the atmosphere. Being oxygen ions charged particles, this implies also high ionic conductivity and fast redox reactions. In this section we will present and briefly discuss the charge transport properties, focusing on bulk conductivity of polycrystalline samples. Readers interested in surface phenomena are referred to two recent reviews focused on ceria catalytic properties (Montini et al., 2016; Trovarelli and Llorca, 2017).
Firstly, we will introduce defect equilibria, limiting the analysis to zero-dimensional species, thus excluding one- and two-dimensional structures such as dislocations and antiphase boundaries (APB). Then, we will present conductivity experiments pointing out the open problems raised by the complex trends of conductivity σ as a function of defect nature and concentration.
Starting from pure ceria, let's consider first the formation of anti-Frenkel (AF) defects: an oxygen ion jumps to an interstitial site, leaving an VO at the O site (Mamontov and Egami, 2000). Following the Kröger-Vink notation (Kröger, 1977), the defect equation is:
AF defects are supposed to be involved in the oxygen storage capacity of these materials, especially in nanocrystalline form (Mamontov et al., 2000).
VOs can be also formed by the interaction of CeO2−δ with the atmosphere, following the equilibrium:
Oxygen deficiency δ values vs. temperature and oxygen partial pressure pO2 from different authors were reviewed by Mogensen et al. (2000).
For each VO, two electrons are injected in the conduction band (Tuller and Nowick, 1979). The pertinent equilibrium constant is:
where pO2 is the oxygen partial pressure. Electrons produced in equilibrium (2) form adiabatic small polarons and electronic conduction is achieved via an activated diffusive hopping mechanism involving Ce4+ to Ce3+ reduction (Tuller and Nowick, 1977; Chiang et al., 1996; Oliva et al., 2004; Farra et al., 2013). Electronic conductivity σe can be expressed as:
In Equation (4), ne and q are the electron concentration in the conduction band and electric charge, respectively, μ0 is the T-independent part of the electron mobility term, EH is the hopping activation energy of the polaron and k is the Boltzmann's constant.
Considering the electro-neutrality condition , electron concentration in the conduction band and oxygen partial pressure are related by:
Doubly ionized VOs are dominant at low δ, while defects interactions and single ionized VOs become important at larger δ (Tuller and Nowick, 1979), bringing to different equilibria (Mogensen et al., 2000). In any case, an oxygen partial pressure dependent conductivity is an efficient way to detect electronic contribution to charge transport in non-stoichiometric oxides (Scavini et al., 1994).
Upon doping ceria with trivalent RE ions, RE3+ substitute Ce4+ and VOs are introduced in the structure for charge compensation. Doping occurs during the synthesis process and the reaction can be described using the following equation:
Equation (6) assumes trivalent cations only. If not, VO concentration differs from x/2.
Ceria doped materials display high oxygen mobility via a vacancy diffusion mechanism and, as a consequence, high ionic conductivity σi. σi can be expressed as Tuller and Nowick (1975):
where , is proportional to the probability to find a vacant site around the jumping oxygen ion, Ei and ΔSi are the activation energy (Enthalpy) and Entropy for oxygen diffusion, respectively, q is the charge (=2e), k is the Boltzmann constant, υ is a frequency factor and a/2 (i.e., half of the cell parameter) is the jump distance for an VO, along the <100> crystallographic direction (Mogensen et al., 2000; Koettgen et al., 2018). According to equilibrium (6), RE doping introduces additional VOs; also, the presence of the charged RE′Ce defects changes the electro-neutrality condition into and, as a consequence, the dependence of ne vs. pO2 described in Equation (5) is turned into for (Tuller and Nowick, 1975). Finally, for large x values, equilibrium (2) is pushed toward its left side and the concentration of conducting electrons is negligible but at very low oxygen partial pressures (see below).
Electrochemical Impedance Spectroscopy (EIS) is usually adopted to measure conductivity in materials in which the ionic conduction is prevalent on the electronic one (Sacco, 2017). A small sinusoidal voltage V = V0sin(ωt) is applied and the response current I = I0sin(ωt+α) is measured at the same frequency. As a consequence of the (possible) phase shift α, the impedance Z calculated through Ohm's law is a complex number (Z = Z′ + iZ″ = V/I). A wide range of frequencies ω are sampled and Z data are typically plotted using the Nyquist representation. Data are then fitted against an equivalent circuit that is a combination of resistive R and capacitive C terms considering the transport across the bulk (Rb and Cb) and the grain boundary (Rgb and Cgb) of a polycrystal. Further elements are usually added for the electrode-electrolyte surface contribution and/or electronic transport in mixed ionic/electronic conductors.
In Figure 2 conductivity data (from Eguchi et al., 1992) on (Y, Gd, Sm)-doped CeO2 are plotted against T. Activation energies for conduction can be calculated fitting the Arrhenius plots (logσT vs T−1) of Figure 2. The plots of the insets of Figure 2 (logσ vs. pO2) assess the electronic and ionic contributions to conductivity: at high pO2, σ is constant and fully ionic; conversely σ increases lowering pO2 by reason of additional electronic contribution. For application as a solid electrolyte in SOFC/SOEC it is important to assess the zone of x, T and pO2 where the equilibrium with the atmosphere brings to the formation of additional VOs according to equilibrium (2) because electronic conduction provokes undesired shortcuts between the electrodes.
Figure 2. Bulk ionic conductivity data of different Ce0.8RE0.2O1.9 solid solutions measured in air. In the inset are shown conductivity data collected at 800°C on Ce0.8Sm0.2O1.9 (black circles) and Ce0.8Gd0.2O1.9 (blue diamonds) vs. pO2. In the low pO2 range, also electrons contribute to charge transport (ionic/electronic mixed regime). Data from Eguchi et al. (1992).
A huge number of experimental and review papers focus on the transport properties of RE-doped ceria solid solutions as a function of temperature, oxygen partial pressure, composition and microstructure. Limiting to reviews (Jacobson, 2010) and (Goodenough, 2003), discussed the suitability of Ce1−xRExO2−x/2 materials for SOFC applications while Inaba and Tagawa (1996) and Kilner (2008) and, more recently, Koettgen et al. (2018) reviewed their electrical conductivity.
Although data from different groups are highly scattered, as pointed out by Koettgen et al. (2018), some general trends emerge. As suggested by Equations (6, 7), isothermal ionic conductivity increases with x. However, this applies to light doping only. σi decreases above a critical concentration xc depending on RE nature and temperature, as observed for Gd (Faber et al., 1989; Zhang et al., 2002, 2004; Zha et al., 2003), Sm (Zhan et al., 2001; Jung et al., 2002; Zha et al., 2003), Y (Wang et al., 1981; Faber et al., 1989; Zhang et al., 2004; Sato et al., 2009) and other dopants like La, Nd, Yb (Faber et al., 1989; Dikmen et al., 1999). The critical concentrations xc reported in the literature are scattered and usually occur in the range xc = 0.06-0.2, depending on RE and temperature considered (Koettgen et al., 2018). For example, maxima for Gd were observed by different authors at xc~0.10 (Steele, 2000), 0.15 (Zha et al., 2003), and 0.20 (Zhang et al., 2002).
As an example, σi(x) vs. T registered for Ce1−xYxO2−x/2 are reported in Figure 3A (data from Faber et al., 1989). Isothermal conductivity maxima appear around x ≈ 0.10, at which only 2.5% of the oxygen sites are vacant. The measured activation energies also depend on x and show minima around the same x values (Kilner, 2008). In Figure 3B the Ei values as a function of x are displayed (data from Faber et al., 1989).
Figure 3. (A) Conductivity data of Ce1−xYxO2−x vs. composition x at different T values. (B) Activation energies Ei vs. x for Ce1−xRExO2−x solid solutions. In the inset are shown the Ei values in the (300 < T < 600 K range) together with σi values at 400 K and x ≈ 0.10 as a function of the ionic radii of the 8-fold coordinated RE3+ ions. Data from Faber et al. (1989).
Ei and σi also change by moving across the lanthanide series: the highest σi is observed for Gd and Sm (Eguchi et al., 1992; Chen et al., 1997; Omar et al., 2006; Zajac and Molenda, 2008), while σi reduces for lighter and heavier RE elements. The inset of Figure 3B shows Ei and σi at T = 400 K and x ≈ 0.10 as a function of the RE ionic radius (data from Faber et al., 1989).
To rationalize the bell curves of Ei and σi vs. the ionic radii, several authors evidenced the role of ionic radii (ir) mismatch between Ce+4 and RE+3. It should be noted that, for plotting purposes, in Figure 3B we used the ionic radii of the 8-fold-coordinated Re ions (Shannon, 1976). However, the correct coordination to calculate the “mismatch” is matter of debate and it will be discussed in section Lattice Parameters.
Following the “mismatch” idea, too small and too big RE3+ cations cause large structural distortions depressing conductivity. Codoping with a suitable combination of small and big cations has been proposed to minimize elastic strain and improve conductivity (Yoshida et al., 2001; Wang et al., 2004; Omar et al., 2006, 2007; Kilner, 2008; Zajac and Molenda, 2008). For example, it has been observed that Sm and Nd-co-doped ceria is more conducting than single Gd-doped ceria at 550°C (Omar et al., 2008); on the other hand, Ce0.90LuxNdyO1.95 is less conductive than Ce0.90RE0.10O1.95 with RE = Y, Sm, Gd (Omar et al., 2006).
Conductivity measurements display complex behaviors moving along the x and ri coordinates. Actually, ionic conductivity is a macroscopic quantity that sums up (and average) a plethora of elementary migration processes each one involving a jump of one oxygen ion from a lattice site to an empty vacant site around. Thus, the local structure rather than the average one does influence these processes. As pointed out by several authors, part of the VOs could be excluded from the diffusion process (at least within a certain temperature range) because of RE-VOs defect clustering. VOs involved in defect clusters should be thermodynamically more stable than the remaining ones thus hindering or reducing the jump frequency toward them. On the other hand, the activation energy for diffusion could depend on the local structure around the jumping coordinate and also include a term for the interaction of the vacancy with other point defects (Kilner, 2008). Koettgen and coworkers identify two phenomena: “trapping” and blocking. In the former the RE distribution affects the initial and the final oxygen sites energies differently; migration energy is therefore different for forward and backward jumps. In the latter, forward and backward energies are equal but dopants affect the transition state energy (Koettgen et al., 2018).
To apply these ideas to real ceria-based phases it is fundamental to map the RE and VOs distribution as a function of RE nature, concentration and temperature. This implies knowledge of the structure at different length scales using different experimental techniques spanning from diffraction to spectroscopy, microscopy and magnetic resonance. This is the core of the present review and some findings are presented in the next section. Then, coupling theoretical calculations to experimental findings should allow estimating also the energies at work on defect clusters formation and on oxygen migration paths (see section Atomistic Modeling Methods of Doped Ceria for some details).
Experimental Structural Probes
This section aims at gathering the main experimental findings on structure and defects in doped ceria. First we consider undoped ceria, with a focus on the structure evolution induced by oxygen non stoichiometry and consequent defect structures. Then we review the effect of doping in CeO2-RE2O3 systems, highlighting stability ranges and nature of the different phases involved. We will introduce local scale investigations with different probes and the postulation of defect models, moving toward longer scale defects and discussing how crystallite size and synthesis route affect structure and defects. Eventually the discussion will move toward fuel cells' operating conditions.
Cerium oxide exhibits fluorite structure: cubic, space group Fm-3m, with Ce and O in special positions, namely Ce in 4a (0, 0, 0) and O in 8c (¼, ¼, ¼). Ceria is used as reference standard material by NIST. Fluorite is stable over a wide range of T and oxygen non stoichiometry δ. No phase transformation was found down to 2 K by neutron powder diffraction (Coduri et al., 2012a), while high temperature promotes the splitting of O into two different sites consistent with a disordering along <111> direction (Yashima et al., 2006).
When CeO2 is reduced to CeO~1.7−1.8, a disordered, non-stoichiometric, fluorite-related phase (α) forms (Bevan and Kordis, 1964; Trovarelli, 2002). By further increasing δ, a number of fluorite related superstructures were observed, lowering the cell symmetry owing to vacancy orderings along the fluorite <111> direction, consistently with high temperature studies (Yashima et al., 2006). A comprehensive description of the superstructures in CeO2−δ, down to CeO1.66, is given by a single crystal neutron diffraction study (Kuemmerle and Heger, 1999).
Though still fluorite, the atomic scale structure can be different. An example for CeO2 is given in Mamontov and Egami (2000). Using Pair Distribution Function (PDF), they probed Frenkel-type defects in octahedral sites. These defects, which can be removed by high-temperature treatment, are related to the oxygen storage capacity of ceria. Hence, the structure is fluorite, but the application is driven by defects that alter, locally, the fluorite structure.
More in general, fluorites look simple, but they are not. Fluorites accommodate high concentration of lattice defects, especially in terms of VOs (Kim, 1989; Malavasi et al., 2010). Their wide temperature and stoichiometric stability can hinder the real local atomic arrangement, which in complex materials is often the one at the basis of the application (Egami and Billinge, 2003) This makes fluorite more interesting, but more challenging, to control and investigate.
Doped System: Long Range Structure
Phases and Solid Solutions
As described above, doped ceria can serve as electrolyte thanks to the ability of fluorite to host high concentration of mobile oxygen vacancies. Then, it is useful to quantify the maximum amount of dopant (xmax) that enters fluorite without changing its structure.
Before discussing xmax values, it is useful to introduce the dopant oxide phases. Cubic C-type, monoclinic B and hexagonal A are the three forms of sesquioxides (RE2O3) observed at ambient conditions. In particular, Nd and La form A-type, all other dopants lead to C-type, even though B-type was observed at RT after high temperature annealing for Eu (Ainscough et al., 1975), Gd (Grover and Tyagi, 2004), and Sm (Mandal et al., 2006; Artini et al., 2015; Coduri et al., 2018) and even in Y2O3 nanoparticles (Guo et al., 2006). More details about sesquioxides' structures are reported elsewhere (Adachi and Imanaka, 1998). Among sesquioxides, C-type (s.g. Ia-3) is the one closest to fluorite, the former being a structural distortion of the latter. In F and C-type the cell origin is positioned on m-3m (Ce site) and -3 (empty site) sites, respectively, a rigid shift of atomic positions is necessary to overlap the two structures. Atomic positions in the
two phases are summarized in Table 1 and sketched in Figure 4, where the full fluorite unit cell (a) is compared to one octant of the C-type phase (b). As a consequence of VOs ordering, when moving from fluorite to C-type the lattice parameter doubles, one cation coordinate (x of the M2 site) and four atomic coordinates of the O site move out of the special position. Whereas cations in fluorite lie at the center of an ideally perfect cube formed by 8 coordinated oxygen ions, in C-type they are 6-fold coordinated and the cation on the 24d site moves away from the center because of electrostatic repulsion with VOs. This affects significantly the distribution of interatomic distances, especially for M-M pairs (see Figure 4, bottom), which split into two well separated sets of distances in C-type compared to a single M-M distance in fluorite. Moving from F to C-type produces also the disordering of M-O pairs.
Table 1. Crystallographic relationships between fluorite and C-type phases of Gd-doped ceria compounds.
Figure 4. Sketch of fluorite (Left) and C-type (Right) structures, the latter displayed as octant of full cell to facilitate comparisons. The corresponding M-M connectivity is displayed below.
The xmax values from literature are listed in Table 2, with references, and plotted in Figure 5 to have an overview. We define xmax as the intermediate value between the last fully fluorite and the first non-fully fluorite dopant concentration x, the esd being half of step between the two compositions. Surprisingly, xmax changes significantly with the study, especially for intermediate size dopants. For Gd+3, xmax ranges from 0.125 (Nakagawa et al., 2001) to 0.54 (Bevan and Summerville, 1979). The latter (dashed red line in Figure 5) reports the highest xmax values for each dopant. It was proposed (Grover and Tyagi, 2004) that such high xmax values are a consequence of quenching from 1600°C and therefore might not be representative of the material at ambient. Also, above 1500°C mixed oxides can undergo a reversible transformation from solid solution to separated oxides. See Wallenberg et al. (1989) and references therein for details.
Table 2. Ionic radius for different coordinations, x max with corresponding reference, and average of the xmax values for each dopant.
Figure 5. xmax values reported in the tabulated data from the literature. Red lines are guides to the eye, related to the largest and smallest xmax observed for each composition. The inset reports the average xmax values obtained for each dopant with at least two entries.
The similarity between the F and C phases can be at the origin of the wide dispersion of xmax. The structure is routinely defined trough XRD. Diffraction patterns of C-type differ from fluorite by the appearance of additional superstructure peaks, hard to resolve from background if data are noisy, especially when the C-type distortion is small (x(M2) close to 0) and superstructure peaks low in intensity. Moreover, approaching the F to C-type transition, superstructure peaks are broader (Coduri et al., 2013a), thus leading to overestimation of xmax. This problem becomes even more important in nanoparticles for the further peaks broadening. In these cases, a C-type cell can be misinterpreted as a pseudo-fluorite cell, with lattice parameter af = ac/2, where ac is the C-type lattice parameter.
Different xmax values might arise also from the usage of different notations for dopant concentration, which sometimes is defined as RE2O3 molar content (see Andrievskaya et al., 2011) rather than REO1.5. We recommend to define explicitly the relative cation stoichiometry, using formulas such as Ce1−xRExO2−y.
The effect of the dopant on xmax was firstly investigated by Chavan and Tyagi (2005), who compared different dopants with x = 0.50. They noticed that La and Nd maintain fluorite structure, while the ionic size contraction of the dopant leads to the formation first of C-type phase, then to biphasic systems. Similar results were observed in Coduri (2013) and Horlait et al. (2011). The dopant dimension affects the minimum values of xmax. The solid red line in Figure 5 is a guide to the eye indicating the minimum xmax values. The average xmax values are reported in the inset. xmax varies smoothly with the dopant size, reaching a minimum for Gd. Lu is out of the trend, even though three independent reports gave similar results. This was explained in Artini et al. (2016) by considering that the Lu+3 ions are so small that they can actually fit the size of the host Ce+4 retaining their full coordination. As a consequence, Lu+3 behaves as larger lanthanoids and the VO is closer to Ce+4 rather than Lu+3. It is suggestedt that xmax is ruled not only by the size mismatch between Ce+4 and the dopant, but also by compressibility, i.e., the ability of the dopant to accommodate to a pressure change (induced by size mismatch) by expanding or contracting the unit cell. Compressibility scales monotonically with the ionic radius, thus explaining the largest xmax for La+3 among lanthanides. A size mismatch larger than 10% was proposed to be a condition to inhibit the formation of homogeneous C-type phase (Artini et al., 2017).
Eventually, one can expect a large xmax to come from a low stability of the corresponding C-type phase. Nd and La, which are often observed to have xmax ≥ 0.5, tend to form A-type phase, rather than C-type, which is less akin to fluorite. The transformation from C-type to other sesquioxides was proposed (Horlait et al., 2011) to occur when the average ionic size exceeds a threshold value, which can be reached only for the biggest cations.
Figure 6A shows the evolution of af for wide compositional ranges with different dopants. It is clear that doping produces expansion or contraction depending on the size of the dopant ion, and that Vegard's law is not followed. Excluding Tb and Pr, characterized by a mixed valence state (Nitani et al., 2004; Martinez-Arias et al., 2005; Coduri et al., 2014) and therefore to be dealt with separately, expansion is observed from La to Gd, while Y and other trivalent lanthanoids induce contraction. Considering the ionic radii reported by Shannon, 1976, (see Table 2) the volume change upon doping fluorite is consistent with the insertion of a 7-fold coordinated trivalent dopant. As an example, ionic radius (i.r.) for Y+3(VII) is 0.965 Å, slightly smaller than Ce+4(VIII) (0.97 Å); therefore Y-doping for Ce induces a feeble lattice contraction. Y+3(VIII), being 1.02 Å in size, would instead expand the cell. As not all RE have a known i.r. for coordination (VII), x-axis in Figure 5 reports coordination VI.
Figure 6. Evolution upon doping of (A) lattice parameter and (B) mean atomic volume for La (Andrievskaya et al., 2011), Nd (Horlait et al., 2011), Sm (Coduri et al., 2018), Eu (Mandal et al., 2006), Gd (Scavini et al., 2015), Y (Coduri et al., 2013a), Er (Horlait et al., 2011), and Lu (Artini et al., 2016).
The size effect of different dopants is generally evaluated exploiting the lanthanide contraction. Whether the chosen coordination number (CN) is 6 (Artini et al., 2017), 7 (Coduri et al., 2012b, 2014; Shirbhate et al., 2016), or 8 (Eguchi et al., 1992; Balazs and Glass, 1995; Yoshida et al., 2001; Yashima and Takizawa, 2010), lattice contraction is experienced when moving from La to Lu.
Yet, the absolute value of the size mismatch strictly depends on the chosen coordination for the dopant. For example, Ce+4(VIII) has ionic radius 0.97 Å, which nearly corresponds to Lu+3(VIII) (0.977Å), Dy+3(VII) (0.97 Å) or Sm+3(VI) (0.96 Å). As different dopants with the same concentration can have different CN, the actual i.r. of the dopant can change non-monotonically within the lanthanide series. This should be taken into account when making comparison based on i.r.
If the amount of dopant rather than its nature is varied, deviations from Vegard's law are evident. Their origin is often source of debate. Horlait et al. fitted the compositional dependence of lattice parameters using a quadratic function. Parameters are tabulated in Horlait et al. (2011). Deviations from the Vegard's law were correlated to the presence of vacancies and consequent variation in CN (Nakamura, 2010). In Giannici et al. (2014) and Artini et al. (2016) the volume change upon doping was considered as the balance between the contraction arising from the formation of oxygen vacancies, size mismatch and local scale interactions.
A possible explanation for this behavior is that the unit cell's total number of atoms varies upon doping because of the formation of VOs. If the cell volume is normalized against the total number of atom for each composition, given the atomic mean volume Vn (Zen's law, Zen, 1956), linear trends are obtained within the range corresponding to the solid solution (Artini et al., 2016), as shown in Figure 6B.
Because the application as ionic conductor limits the interest in doped ceria to fluorite phases, in which all ions lie in special positions, there are no structural degrees of freedom other than lattice volume and Atomic Displacement Parameters (ADPs). ADPs in fluorite increase significantly with doping (Scavini et al., 2012; Coduri et al., 2013a, 2018) and scale with the size mismatch with the dopant (Yashima and Takizawa, 2010; Coduri et al., 2012b). As already observed in Argyriou (1994) and Scavini et al. (2010), the thermal evolution of ADPs, compared to a reference standard, is an effective tool to probe disorder. Disorder was evidenced, but other approaches are required to map defect-induced structural changes at the local scale.
One of the first local scale investigations came with a pioneering neutron powder diffraction study (Anderson and Cox, 1983), where different dopants-vacancy clusters were tested to model diffuse scattering. Though limited by instrumental setup, they demonstrated the existence of local ordering breaking the symmetry of fluorite, proposing the formation of clusters of dopant and VOs. Yet the structural information was rather qualitative. In the last decades a number of local structure investigations were carried out. This section will provide a survey, technique by technique, for unveiling the defect structure in doped ceria.
X-Ray Absorption Spectroscopy
The advent of new generation synchrotrons allowed EXAFS studies to be performed routinely providing a direct approach to inquire local scale in doped ceria compounds. Hormes et al. (2000) investigated different dopants, confirming that Ce and RE maintain their +4 and +3 state, respectively. Exceptions with mixed +3/+4 valence state are Pr (Hormes et al., 2000; Nitani et al., 2004) and Tb (Martinez-Arias et al., 2005). Ohashi et al. (2005) used EXAFS to probe the local scale of Gd-doped ceria up to x = 0.30. They observed that Gd-O distances are larger than Ce-O, and that they shrink with doping even though the unit cell expands. They proposed the formation of clusters made of a VO and two dopant ions as well as the relaxation of oxygen ions toward the induced VO to explain the M-O contraction. A number of similar investigations followed (Yamazaki et al., 2000, 2002; Nitani et al., 2004; Deguchi et al., 2005; Wang et al., 2006; Kossoy et al., 2013; Giannici et al., 2014). A common outcome is that Ce-O and RE-O distances are different, the latter scaling with the size of the dopant. In general, the coordination number (CN) of Ce is higher than the dopant's. An exception was reported by Giannici et al. (2014), who observed fully 8-coordinated Sm with VOs as nearest neighbor (NN) of Ce. A lower CN(Ce) was noticed also in Shirbhate et al. (2016), but they only investigated the Ce-edge. These results conflict with EXAFS results in Nitani et al. (2004), which found a larger CN for Ce+4 than Sm+3 (see Figure 7A. Interestingly, atomistic calculations show that Sm+3 is nearly as stable as NN or NNN of the VO (Nakayama and Martin, 2009; Hooper et al., 2010).
Figure 7. (A) Interatomic M-O distances (left) and coordination numbers (right) obtained by EXAFS on Sm-doped ceria from different works, listed on the left side. Full symbols stand for M = Ce, empty symbols for M = Sm. Black circles refer to data from Giannici et al. (2014); red circles from Nitani et al. (2004); black triangle from Shirbhate et al. (2016). Interatomic distances are also compared with XRD and PDF, in full and empty blue symbols, respectively. (B) NMR spectra of Y-doped compounds showing different coordinations to O. Labels stand for the 6-, 7-, and 8-fold coordinations. Reprinted with permissions from Kim and Stebbins (2007). © 2012 American Chemical Society. (C) raman spectrum for x(Gd) = 0.375 with labels representing the coordinations involved. Data from Coduri et al. (2017). (D) Experimental PDF for x(Sm) = 0.25 with corresponding atom pairs (left). Fit of the same curve using single fluorite (green) and mix of fluorite and C-type (blue) on the right hand side. Data from Coduri et al. (2018).
All investigations agree that CN decreases with doping together with the oxygen concentration. As the ionic size mismatch between host Ce+4 and dopant has been retained to affect transport properties (Eguchi et al., 1992; Balazs and Glass, 1995), codoping using two different RE ions with weighted ionic size similar to Ce+4 has been proposed (Mori et al., 2002). Yoshida et al. (2001) investigated double doping with La and Y but found no synergic effect. Local distortions happen to be more important than the global lattice strain. A correlation between local structure and transport properties was observed: the more the VOs are distributed randomly, the higher the ionic conductivity.
Yamazaki et al. (2000) sought for more complex defect clusters. Comparing different dopants, they found clusters composed of 2–4 dopant ions, depending on the nature of the dopant and its concentration. A similar approach was followed in Giannici et al. (2014). Deguchi et al. (2005) tried to extract EXAFS signal up to M-M distances, but esd on the coordination number happened to be as large the CN itself. This poses a limit on the structure information extracted from absorption spectroscopy: are defect clusters composed of a few units of dopants and vacancies, or is the signal intrinsically related to the first neighbors?
Solid state NMR can resolve different coordination environments from different chemical shifts. All doped ceria compounds can be investigated through 17O resonance to inquire the O local environment, exploiting 17O in natural O. Except for diluted systems, in La-doped ceria NN La+3 are always bonded though a VO (Heinmaa et al., 2010). Still, the study was limited up to x = 0.116, and no evidence of bigger clusters was found. Kim and Stebbins (2007) considered higher loadings using Y as a dopant. Doping induces different local environments not consistent with a random distribution of dopant ions and VOs. Interestingly, for x = 0.15, a small fraction of O coordinated to 3 Y and 1 Ce and 4 Y ions is observed. 89Y evidenced different CNs for Y. Most of Y ions are 7-fold coordinated. From x~0.25 a significant portion of Y(VI) was observed (see Figure 7B). This again suggests that VOs are not randomly distributed and that the dopant might keep the local environment as in the pure oxide. Anyhow, the structural information extracted out of NMR is necessarily limited to the NN shell. Information about longer range structure could be only speculated on the basis of the observed CNs.
Indications on the charge, size, and spatial correlation of defects may be offered by Raman spectroscopy. The Raman spectra of doped CeO2 have key signals sensitive to the distortions in coordination cages arising from formation of both intrinsic or extrinsic VOs. In addition, there are clearly distinct signals for 6-fold and 8-fold coordination environments (Nakajima et al., 1994). A sketch of a typical Raman spectrum for heavily doped ceria is given in Figure 7C.
The onset of the Gd-O vibration in 6-fold coordination was shown to match well the phase boundary between long-range F and C-type phases (Coduri et al., 2017). The appearance of this signal is not only dependent on dopant concentration, but also on crystallite size, pointing to different defect association states at different sintering times and/or temperatures (Taniguchi et al., 2009; Coduri et al., 2017). In fact, the same signal was also attributed to local RE2O3 domains within a fluorite phase (Banerji et al., 2009; Artini et al., 2015). To distinguish between isolated RE defects, C-type nanodomains or a longer-range order one can explore the dependence of mode frequency on ionic size (Artini et al., 2017).
The distortion induced by dopants on the long-range scale was shown among others by McBride et al. (1994) who studied the changes to the main fluorite signal, the F2g symmetric vibration mode of the Ce-O bond in 8-fold coordination (Nakajima et al., 1994). With all the dopants they tested (La, Nd, Eu, Gd, Tb, Pr) they attributed a red-shift of up to 5 cm−1 to the separate contributions of lattice expansion and VOs. They showed that after accounting for lattice expansion through the Grüneisen parameter the strictly trivalent dopants (La, Nd, Eu, Gd) actually produce a positive frequency shift related to their extrinsic VOs. This positive shift was then found in Sm-doped CeO2 (Artini et al., 2015) at the boundary between F and RE-rich phases. In nanopowders, size distribution and consequently inhomogeneous strain affects the asymmetric broadening of the F2g signal, which can be described semiquantitatively using a phonon confinement model (Dohčević-Mitrovi et al., 2006).
Besides markers of 6-fold and 8-fold coordination environments, Raman spectra between 510 and 600 cm−1 yield information on the association of extrinsic RECe′ and defects and their relative amount with respect to intrinsic VOs and Ce4+ reduction. In the case of Gd it was noted that large crystallite size and a higher concentration of dopant favor extrinsic defects (Taniguchi et al., 2009; Coduri et al., 2017). In particular, it was proposed that as Gd concentration and sintering temperature are increased REO8 clusters initially scattered in the bulk diffuse and cluster and trap VOs. The high-frequency shift of the band around 540 cm−1 (Taniguchi et al., 2009; Coduri et al., 2017), moreover, suggests a further step from a 1:1 to a 2:1 ratio between Gd′Ce and .
In 2002 Mori et al. (2002) used HRTEM to show that the structure of Sm- and La-doped ceria is not homogeneous, but rather composed of nanometric domains with a different crystallographic phase (see Figure 8a). Further investigations by the same group confirmed the nanodomain structure for Dy (Mori et al., 2005), Gd (Mori and Drennan, 2006; Ye et al., 2008; Li et al., 2011), Y (Ou et al., 2006a; Li et al., 2012), Yb (Ou et al., 2006b) and Ho (Ou et al., 2008b). The domain size was proposed to be directly related to conductivity: larger domains trap more VOs thus affecting transport properties (Mori and Drennan, 2006). The structure of the domains was found to related be C-type (Ou et al., 2008a) using Selected Area Electron Diffraction (SAED) (see inset of Figure 8a). The space group I213 was then proposed (Ye et al., 2009). Li et al. (2011) revealed that dopant (and VOs) segregation occurs not only at grain interior, but also, to a lesser extent, at the grain boundaries.
Figure 8. (a) Nanodomains within white dashed lines observed in x(Y) = 0.25 by HRTEM and corresponding SAED pattern. Reprinted with permissions from Li et al. (2012). © 2012 American Chemical Society. (b) Characteristic signals of EELS spectra taken at O K-edge for different dopants. Reprinted with permissions from Ou et al. (2008a). © 2008 American Physical Society. (c) Experimental PDF for x(Gd) = 0.344, and (d) corresponding evolution of x(M2) coordinate with interatomic distance r. Data from Coduri et al. (2017). (e) Sketch of cation arrangement as in Figure 4 within the basal plane (z = 0) representing C-type domains, enclosed by black solid line, embedded in a fluorite matrix. Green dashed lines stand for APBs. The concept is discussed in Coduri et al. (2013a).
Further information on defect structure can be gained through Electron Energy Loss Spectroscopy (EELS). Based on the work in Travlos et al. (2003), Ou et al. (2006a) showed that EELS collected at the O-K edge give a set of signals which can be correlated with the local scale structure. In particular, the characteristic peak at 543 eV reflects the VOs ordering (see Figure 8b). The ratio over the peak at 546 eV, whose intensity is not related to VOs, is a parameter to quantify the extent of C-type ordering. The method is now being used routinely (Chen et al., 2014; Lee et al., 2014). The limit of electron microscopy, as usual, is that the observed features may be non-representative of the full sample. This calls for other bulk methods to confirm the nanodomains structure and to quantify the size.
As discussed above, diffraction evidences the presence of disorder, but it is not able to describe it at the atomic scale. Disorder appears in diffraction data in the form of diffuse scattering which, coupled to the Bragg peaks in case of crystalline solids, gives the total scattering. A natural approach would be to study diffuse scattering in single-crystals, which unfortunately are not easily available in doped ceria. In powdered materials, diffuse scattering can be modeled directly in reciprocal space (Anderson and Cox, 1983). Debye Function Analysis (DFA) is another powerful tool to unveil the (disordered) structure of small nanoparticles. In particular, using DFA an atomistic model of the entire nanoparticle is fitted against the powder total scattering data (Cervellino et al., 2015; Bertolotti et al., 2016). To our knowledge, no papers exploiting DFA analysis of pure or doped ceria have been published up to now.
Total scattering data can be otherwise analyzed in real space after suitable corrections and Fast Fourier Transform through the atomic Pair Distribution Function (PDF) (Egami and Billinge, 2003). In 2012, the local atomic structure of ceria doped with different dopants (x = 0.25) was investigated using PDF (Coduri et al., 2012a,b). Neutron diffraction data were consistent with the simple relaxation of O ions toward the dopant-induced VO (Coduri et al., 2012a), confirming the model proposed by experimental studies (Ohashi et al., 2005) and simulations (Inaba et al., 1999). The larger the size mismatch with Ce+4, the larger the structural distortion on the O sites.
Yet, X-ray PDFs is mostly sensitive to distances involving metals (M) ions rather than O and cannot be modeled by simple VO-dopant relaxations. In particular, in the F structure, only one M-M NN distance should appear, while in the C-type there are two M-M distances. Still, the second peak occurs even in F solid solutions evidencing C-type local ordering (see Figure 7D). Hence, the first coordination shells up to ~6 Å are consistent with a mixture of fluorite and C-type environments. Different dopants experience a similar local scale: Gd (Scavini et al., 2012), La, Nd, Yb (Coduri et al., 2012b), Y (Coduri et al., 2013b), Sm (Coduri et al., 2018), Zr (Gateshki et al., 2007), Bi (Sardar et al., 2010), Pr and Tb (Coduri et al., 2014). Scavini et al. (2012) probed a continuum of structure evolution throughout the full CeO2-Gd2O3 system, consistently with the monotonic increase of C-type at the local scale. Anomalous scattering confirmed that the dopant ion is involved in that PDF peak (Allieta et al., 2011).
Except for the clear observation of a longer M-M distance not compatible with a fluorite arrangement, the above results are consistent with other local scale studies. The NN M-O distance shrinks upon doping even though a global expansion is observed (Figure 7A), as already evinced by EXAFS (Yamazaki et al., 2000, 2002; Deguchi et al., 2005). The same applies to the main M-M distance (e.g., for Gd- Deguchi et al., 2005 and Sm-doping Giannici et al., 2014). Still, a gap exists between the local scale investigations and microscopy evidences of wider scale ordering.
When studying NN interactions, EXAFS can be preferred to PDF as the latter is not element sensitive and because termination ripples, implied by the finite energy of the incoming radiation, affect mostly the NN peak. On the other hand, PDF provides structural information on a wide length scale (Figure 8c), depending on the instrument resolution (Qiu et al., 2004). A PDF investigation of Y-doped ceria throughout the F to C-type transformation (Coduri et al., 2013a) demonstrated that disorder is not limited to the local scale, it rather evolves on a larger scale. Monitoring the evolution of x(M2) with the radial distance (Figure 8d and Table 1) allowed direct quantification of the C-type distortion. In this model, C-type domains are embedded in a fluorite matrix and their size increases with x until complete transformation to C-type. Details on the data analysis strategy were reported in Checchia et al. (2015). C-type domains as large as 12 nm were observed already for x = 0.25, when the structure is fluorite. The domain structure was confirmed by the observation of antiphase boundary (APB) in powder diffraction patterns of the first C-type samples formed upon doping, probed as systematic hkl-dependent broadening of superstructure reflections only. APBs occur when nucleation of low symmetry phase starts randomly on different lattice sites, with possible faults where domains meet. A similar picture applies to Gd- (Scavini et al., 2015; Coduri et al., 2017) and Sm-doping (Coduri et al., 2018). A mechanism involving the progressive orientation of small C-type droplets percolating into coherent nanodomains was proposed in Scavini et al. (2015). A sketch of percolated C-type domains in fluorite, with formation of APBs, is given in Figure 8E.
To conclude, the above techniques provide a set of complementary tools to gain a complete description of structure and defects. Diffraction tells whether the long range structure is fluorite or C-type, or both. If single phase, the presence (or not) of superstructure peaks defines a C-type (or fluorite) phase. Thus, XRD data have to be collected with proper counting statistics, paying attention to the region between the 2nd (200) and 3rd (220) diffraction peaks, where superstructure peaks might appear. Full scale patterns, often displayed in papers, are not useful to tell whether the structure is F or C. Powder diffraction is very powerful but it can be misleading. Noisy data would indicate that structure is fluorite rather C-type just because superstructure peaks might be hidden in the background. Finally, powder diffraction probes the long range structure but is nearly blind with respect to local orderings.
Raman spectroscopy is a powerful technique to probe local scale ordering as different bands can be assigned to different chemical coordinations. But the structural information provided by Raman is strictly local. The coexistence of fluorite-like (MO8) and C-type-like (MO6) signals is not a proof of full-scale segregation of the two phases. On the other hand, if only C-type signals are probed by Raman, the long range structure will be hardly fluorite.
As XRD and Raman are complementary structural probes widely available in research centers, it is recommendable to combine them as much as possible.
EXAFS is the technique to use to probe NN local interatomic distances for Ce and dopant. It has two main disadvantages. It requires synchrotron radiation, the access to which is generally awarded through a peer review process and not immediate. Expertise in EXAFS data analysis is necessary as large parameter correlations often make the significance of the results questionable. When studying NN distances EXAFS has still an edge on PDF, whose NN peak is not element resolved and often affected by termination ripples (Peterson et al., 2003).
EXAFS is also used to extract CNs. Proper CNs require spectra to be collected at both Ce and RE edges, and CNs to be constrained to the known stoichiometry in order to reduce correlations (Giannici et al., 2014). This could be the origin of the spread set of CN values in the literature. NMR is a very powerful tool to confirm CNs extracted from EXAFS, as it provides the relative abundance of the different coordinations. Unfortunately, to our knowledge, no combined NMR/EXAFS experimental report has ever been published.
HRTEM and PDF are the techniques providing information on larger length scales. The advantage of microscopy is that it can “see” domains, rather than extracting information out of a fit. Electron microscopes are also more accessible than synchrotron radiation. Yet, domains from HRTEM were investigated always by the same group. The observation of domains is not representative of the full material. Also, sample preparation is demanding, prevents the study of small particles and is commonly limited to ambient condition. On the contrary, being a bulk technique, PDF provides domain sizes representative of the full material. It is particularly suitable for doped ceria compounds as signal is proportional to the number of electrons z. Then, it is particularly sensitive to M-M pairs. Like EXAFS, PDF requires the use of synchrotron radiation, even though laboratory diffractometers for PDF are becoming increasingly common.
From the overview given in section Phases and Solid Solutions, it appears that some results are in contradiction. The compositional range for F and C-type as well as the existence of miscibility gap between the two phases change according to the study. CNs also are not fully reproducible. When moving from the routine characterization of a material to a more detailed study, it would be advisable to combine as many techniques as possible. That would be also helpful to comprehend the limitations of the techniques involved, as they would be applied exactly to same material.
Defects Arrangement From F to C-Type
Nowadays different notations are used to describe the compositional region corresponding to the transition from fluorite to C-type. In Coduri et al. (2013a, 2018), Checchia et al. (2015), and Scavini et al. (2015) the authors defined as C* the compositional region (x~0.3–0.5 depending on composition) characterized by the percolation of C-type domains. From a powder diffraction point of view, the C* region is characterized by (i) non negligible concentration of APBs, i.e., anomalous broadening of superstructure peaks; (ii) a different linear dependence of atomic coordinate x(M2) with doping than the x(M2) trend in the “mature” C-type phase. This means that the structure is actually long range C-type, resulting from the percolation of C-type nanodomains in a fluorite matrix while large fluorite regions still exist.
Artini et al. (2015, 2016, 2017) described intermediate compositions for RE = Gd, Sm, Lu as a hybrid (H) phase between fluorite and C-type. The structure is generally C-type, but the coexistence of Raman modes typical of fluorite and C-type leads tothe picture of a hybrid structure, i.e., a sort biphasic system occurring at the local, or intermediate scale. This is similar to the C* formalism, even though the H structure can be found in long range fluorite samples—the case of uncorrelated nanodomains in a long range fluorite structure does not apply to C*—and extend to a larger region in the C-type compositional range. The existence of H was found to depend on the size mismatch between dopant and host. If the size mismatch is too big, a single hybrid (C-type) phase is not stable, i.e., it cannot accommodate for both Ce and RE, and a long range phase separation into F and C-type is observed. Producing samples following the same protocol, Artini et al. (2016) observed long range F-C separation only for Tm, Yb, and Lu. Phase separations are observed for other dopants as well (Bevan and Kordis, 1964; Shuk et al., 2000). The reaction procedure does play a role in that, as either single fluorite or biphasic systems were obtained on the same material, respectively, after oxidizing and reducing annealings (Małecka et al., 2009).
Doped ceria can be successfully produced through a number of different synthetic routes. Most of early studies used solid state synthesis, involving reaction of CeO2 and RE2O3 mixed powders at high temperature with intermediate regrinding steps. Still, the observed local ordering with dopant oxide structure can either be an intrinsic characteristic or a consequence of an incomplete reaction.
The interest for surface effects called for the development of different synthetic routes to tune the morphology of the products. Manifold wet procedures were proposed (Van Herle et al., 1998; Reddy et al., 2009; Rezaei et al., 2009; Wang et al., 2010). These lead to nanoparticles that can be sintered afterwards to increase grain size and density. Moreover, wet methods are considered to lead to more homogeneous materials (Horlait et al., 2011).
The role of the synthesis is generally studied with respect to transport properties. Its relationship with defect structures or structure in general received less attention, with the exception of defects in nanometric samples, where surface effects become not negligible.
Tsunekawa et al. (2000) attributed the inverse relation of lattice expansion of CeO2 and crystal size to the stabilization of Ce+3 ions. In doped samples Ce+3 is often found to segregate at the surface of nanoparticles. Lee et al. (2014) observed that Y-doping for x > 0.09 induced ferromagnetic ordering of surface Ce+3 clustered together with Y+3 ions. Hence, Ce+3 ions stabilized at the surface replace some Y+3 ions in the M+3-VO clusters already observed in bulk. Similarly, Sm3+-VO-Ce3+ complexes were observed for x > 0.07 on the surface of Sm-doped nanoparticles (Chen et al., 2014), suggesting a core-shell defect structure, already proposed in Malecka et al. (2008); Małecka et al. (2009) in terms of surface RE segregation.
Recently, 3D electron microscopy revealed the 3D surface of La-doped ceria with subnanometric resolution (Collins et al., 2017). Additional VOs were seen within the first 1.5 nm of the particle surface together with associated changes in Ce(4f) hybridization as well as surface enrichment in La. Acharya et al. (2014) observed through Raman and EXAFS that in nanoparticles Gd induces more intrinsic VOs than Sm. For a fixed doping amount, reducing the particle size damped the Raman signal at 370 cm−1, which is the fingerprint of C-type ordering (6-fold coordination). Accordingly, the C-type domains observed in bulk samples disappear, or reduce in intensity, when decreasing particle size. No PDF peak of C-ordering is observed for x = 0.313 Gd-doped samples (Coduri et al., 2017) when particle size is below 10–15 nm. Similarly, lower sintering temperatures in Y-doped samples (x = 0.10 and 0.25) led to smaller nanodomains (Ou et al., 2006a). Eventually, Sen et al. (2008) observed that nanometric particle size doubles the population of Y(VIII), increasing the probability of VOs to be NN as Ce, which can thus be reduced to +3. This can enhance the migration of VOs, which are less strongly bound to Ce+3 than to Y+3 (Mogensen et al., 2000).
In conclusion, reducing particle size to the nanometric scale increases the fraction of Ce+3, mostly located at the surface and strongly associated with VOs. Ce+3 acts as a dopant even larger than Nd+3 and La+3, which are known to shift the long range F to C phase transformation to higher dopant concentrations. Ce3+ thus stabilizes fluorite. XRD, PDF and Raman provided evidence in this direction.
From Low Temperature to Operating Conditions
The above investigations were performed at low temperature, which is the best condition for structural analysis. Yet, this is far from real operating conditions, i.e., high temperature and controlled (oxidizing and reducing) atmosphere. Only a few investigations reported in the literature were not performed at ambient condition, and generally they are carried out under air. This is due firstly to instrumental difficulties, such as the case of electron microscopy. Secondly, increasing atomic vibrations broaden the signals of local probes, undermining the significance of local scale investigations. High temperature does not affect diffraction studies, other than making intensity decaying faster with momentum transfer. Since doped ceria retains its fluorite structure on a wide temperature range, no structural discontinuity has ever been reported. Yashima used high temperature powder diffraction to probe static disorder by analyzing APDs (Yashima and Takizawa, 2010). No deviation from linearity with temperature of lattice parameters and APDs using neutron diffraction on x(La) = 0.25 up to 800°C (Coduri et al., 2013b) was observed, nor it was for different compositions of Sm (Artini et al., 2018) and Gd (Artini et al., 2014). This evidences once more the need for a local probe. To the authors' knowledge, only Wang et al. (2006) used EXAFS on x(Y) = 0.10 doped ceria at high temperature (600°C). Although Y- and Ce-environments appeared more homogeneous at high temperature, they claimed that structural features become ambiguous because of excessive signal broadening.
Raman suffers as well from high temperature effects. Still, the Raman band assigned to dopant-VO clusters was found to vanish at 450°C for x(Gd) = 0.15, consistently with the dissociation of VOs from clusters involving dopant ions. These clusters are preserved for higher dopant amount. A similar behavior was found for other dopants (Shirbhate et al., 2016). PDF showed that local C-type orderings are retained up to 750°C, even though to a lesser extent than at RT. Further distortions, compatible with Ce reduction, were observed under reducing atmosphere (Coduri et al., 2013b).
HRTEM was used to compare materials before and after being subject to operating conditions, revealing that reducing atmosphere induces further VOs ordering consequent to Ce reduction (Li et al., 2013). Increasing sintering temperature promotes a melting, at least a partial one, of the clusters/domains rich in VOs. Surprisingly, among the vast set of reports in the literature, very little effort has been dedicated so far to move defect structures investigations toward real operating conditions.
Atomistic Modeling Methods of Doped Ceria
AB Initio Calculations
Density Functional Theory (DFT) is currently the computational workhorse for the first principles modeling of doped ceria, surfaces and catalytic reactivity. However, solving the Schrödinger equation with standard DFT methods presents one problem, that is, the spurious self-interaction between electrons. The substitution of Ce4+ with a trivalent ion leaves an unpaired hole in the system. It turns out that in many oxides, such as MgO, TiO2, SiO2, CeO2, both local (LDA) and semilocal (GGA: BLYP, PW91, PBE, PBEsol) functionals yield a hole wavefunction which is delocalized on several ionic sites. Indeed, reduced CeO2 is predicted to be metallic by GGA functionals, in stark contrast with experiments. Moreover, EPR experiments, through the hyperfine couplings, reveal that the spin-density is very much localized and UPS experiments show that new states, associated with Ce 4f orbitals, appear at ~1.2 eV above the top of the valence band. This drawback carries several additional consequences and leads to wrong predictions about lattice spacing, vacancy formation and migration energies, surface energies, catalytic activity (Pacchioni, 2008).
Two practical approaches emerged to partially correct for the self-interaction issue: DFT+Hubbard U (Dudarev et al., 1998; Cococcioni and de Gironcoli, 2005) and hybrid functionals (Dovesi et al., 2005, 2014). Both methods are rooted in the principle that Hartree-Fock (HF) is almost free of self-interaction. In fact, DFT+U can be viewed as a local-HF correction, acting on the subspace of localized d and f electrons. Similarly, hybrid functionals evaluate the exchange potential by mixing pure orbital-dependent HF and density-based exchange. Hybrid functionals like B3LYP and PBE0 retain the long range Coulomb interaction while the HSE (Heyd et al., 2003) uses a screened Coulomb interaction, which appears to be more appropriate to deal with periodic solids. However, both methods depend on empirical parameters: the value of U and the fraction of HF, respectively, which makes them not fully ab-initio.
There are procedures to determine the U-values (Cococcioni and de Gironcoli, 2005) and the fraction of HF from the dielectric constant (Skone et al., 2014) but they are not widespread in calculations. Rather, it is common practice to adjust these parameters to reproduce some experimental quantities, such as lattice spacing or vacancy formation energy (Fabris et al., 2005a; Pacchioni, 2008). Lu and Liu (2014), presented a rationalization of the Hubbard U parameter for Ce oxides, calculated within different approaches (linear response, constrained RPA). They found that the U parameter ranges from ~4.3 to 6.7 eV and depends strongly on the Ce-O coordination number and bond length. A similar conclusion was reported in Loschen et al. (2007). Recently it has been found that adding a Hubbard U term on oxygen 2p orbital (despite the fact that is not as localized like the 4f orbitals), does improve the electronic structure and the energetics of defective ceria (Yeriskin and Nolan, 2010; Plata et al., 2012). In particular, Figure 9 shows the spin density around a VO. By employing DFT+U spin density remains strictly localized on two Ce3+ ions. Without U corrections, it would spread over many more sites.
Figure 9. Spin density of bulk CeO2 in presence of an oxygen vacancy, showing the formation of two Ce3+ centers localized around the vacancy. Reprinted with permission from Plata et al. (2012). © 2012 American Institute of Physics.
Hybrid functionals constitute a valid alternative to DFT+U, at the price of a higher computational cost, especially in the plane-waves. Among all hybrid functionals, the screened-exchange HSE06 functional is the most used to describe bulk CeO2 and Ce2O3 (Hay et al., 2006; Da Silva et al., 2007; Ganduglia-Pirovano et al., 2007; Du et al., 2018), oxygen vacancies at surfaces (Nolan, 2010, 2011; Han et al., 2016), polarons (Sun et al., 2017) and dopants (Shi et al., 2016). Other non-screened functionals, such as B3LYP and B3PW91 were employed successfully to calculate the optical properties of bulk CeO2 (El Khalifi et al., 2016). In general, hybrid functionals provide a better description of both Ce3+ and Ce4+ ions, larger band gaps, larger vacancy formation energies and more localized hole wavefunctions, with respect to pure DFT and DFT+U. Finally, there have been only few but promising investigations on bulk CeO2 employing meta-GGA functionals (Tran et al., 2006).
Most calculations reported in literature employ the plane-wave pseudopotential method (Kresse and Joubert, 1999; Giannozzi et al., 2009) and all-electron local-basis calculations (Dovesi et al.) are less frequent due to the large number of electrons of the lanthanides. Pseudopotentials instead treat explicitly only valence electrons and they often discard the 4f electrons (putting them in the core) in order to reduce the computational cost and complexity (i.e., discarding magnetism; Dholabhai et al., 2010).
To describe different doping concentrations, one typically builds periodic supercells consisting of 96 sites (2 × 2 × 2 of the conventional cubic CeO2). In the presence of multiple vacancies, one must pay attention to spin multiplicity and to the fact that DFT+U can present multiple local minima depending on the starting guess of the orbital occupations. It was found that the energy difference between parallel and anti-parallel spins is very small (hence, a ferromagnetic solution can be imposed, Murgida et al., 2014) and that the full randomization of the starting guess can confidently provide the true electronic ground state.
To determine the optimal dopants and vacancies configuration is a formidable task even for a 96-atoms supercell, where the number of combinations can be very large. To solve this problem, genetic optimization algorithms proved to be efficient (Jung et al., 2018). However, such periodic supercells are too small to calculate accurately the thermodynamics, vacancy ordering and clustering effects. To overcome the finite-size effects, several authors employed cluster expansion techniques (van de Walle et al., 2002). In short, the idea is to map the local atomic configurations of dopants and vacancies on a Heisenberg lattice model. The “J” parameters of Heisenberg Hamiltionian are obtained by total energy differences between different configurations. Next, Monte Carlo methods are used to include temperature effects and to provide useful insights on vacancy order/disorder and on the microscopic structure at the nanometer scale (Gopal and Van De Walle, 2010; Murgida et al., 2014; Žguns et al., 2017, 2018).
Despite the tremendous progress of first-principles techniques and code in the past few years, both DFT+U and hybrid functionals still need to be improved in their formulation or in their parametrization. This would reduce the dependence on experimental inputs and provide more accurate, ab-initio predictions. The development of DFT-based tight-binding methods (i.e., DFTB) allows to simulate larger supercells that can represent closely the local structure, the clustering and ordering of defects, minimizing the spurious interaction between their periodic replicas (Kullgren et al., 2017).
As shown above, the combination of DFT methods and cluster expansion techniques is extremely powerful but also computationally involved. In addition to first-principle methods, doped ceria have also been studied by Molecular Dynamics (MD) and Monte Carlo (MC) methods, using empirical potentials. The most common potentials are pairwise Born and Mayer (1932) rigid-ion potentials. In particular Vives and Meunier (2015) studied the defect structure and defect migration paths with six different parametrizations of the BM potentials. By comparing to experimental data they found that only two parameter sets can be used confidently to study Gd-doped CeO2. For a recent review of atomistic simulations of oxide interfaces, surfaces and nanoparticles (see Sayle and Sayle, 2007).
In this section we selected from the vast literature recent results on ab-initio modeling of doped ceria. Vanpoucke et al. (2014) studied extensively the aliovalent doping of CeO2 with lanthanide, transition metal, and alkali atoms with DFT+U and determined the parameters of the Vegard's law, the defect formation energy, bulk modulii, thermal expansion parameters as a function of dopant concentration. Apostolov et al. (2018) and Jung et al. (2018) report phonon calculations and Raman shifts of the F2g mode of pure CeO2, as a function of doping. In particular, doping with lanthanide +3 ions (whose Shannon radius is larger than that of Ce4+) causes a decrease in the frequency of the F2g Raman mode and considerable local structure relaxations. Dholabhai et al. (2010) and Ahn et al. (2012) and their coworkers studied the oxygen vacancy migration barriers in Pr-doped ceria. Surfaces of pure and doped ceria have been studied in Yeriskin and Nolan (2010) and Farra et al. (2013) where they have found the appearance of Ce3+ and one compensated oxygen vacancy. The electronic structure of planar and stepped surface was studied by Fabris et al. (2005b) and Esch et al. (2005).
The ionic conductivity of doped and co-doped ceria has been studied by MD with empirical potential by Burbano et al. (2014) using a sophisticated polarizable ion model fitted to ab-initio results. Their main finding is that oxygen conductivity in co-doped ceria can be well approximated by the weighted average of the conductivity of the single-doped parent compounds. According to their analysis the oxygen conductivity is determined by the local lattice strain generated by the single defect rather than by synergistic effects between different dopants. This confirms EXAFS investigations (Yoshida et al., 2001).
Purton et al. (2017) simulated the ionic conductivity of Ca- and Gd-doped CeO2 using large simulation cells. They employed a hybrid-MC technique consisting of a short (1 fs) MD run followed by a MC exchange move between a Ce and a dopant ion. The purpose of the MC move is to provide an escape path from local-minima configurations in order to approach the equilibrium in a faster way. They found that for x(Gd)>0.2, Gd-rich domains are formed. They also calculated the oxygen conductivity for randomized Gd positions and Gd-nanodomains. They found, in accordance with percolation theory, that Gd-rich domains limit oxygen mobility. They also studied the segregation of the dopants at grain boundaries of CeO2.
Koettgen et al. (2018) reported an ab-initio study of the oxygen conductivity, employing DFT and Kinetic Monte Carlo (KMC). As already mentioned above, they considered only jumps in the <100> direction by half of the unit cell, and only three local configurations (Ce-Ce, Ce-RE, RE-RE). Despite the small database of moves, their KMC results are in very good agreement with experiments. Contrary to observations of Burbano et al. (2014), they found that the ionic conductivity is influenced by trapping, blocking and vacancy–vacancy synergistic interactions: blocking limits the dopant fraction at the ionic conductivity maximum while trapping limits the maximum ionic conductivity. They also found a non-linear Arrhenius behavior of the conductivity, with a reduced activation energy at high temperature, which they ascribe to the “association” between an oxygen ion and a rare-earth dopant.
The thermodynamics of defective ceria was studied by cluster expansion methods by Gopal and Van De Walle (2010); Žguns et al. (2017, 2018). In particular, Gopal et al. addressed the thermodynamics of intrinsic oxygen vacancies. In addition to configurational entropy they also included the lattice vibrational contribution to the free energy. Their lattice Monte Carlo simulations showed that vacancies have a tendency to cluster and to order along preferred directions. DFT calculations showed for instance that for small radius dopants (La to Nd), the oxygen vacancy tend to occupy the nearest-neighbor (NN) position, whereas large radius dopants (Sm to Er) the oxygen vacancy occupies the next-nearest-neighbor (NNN) site, in order to minimize the elastic energy (Andersson et al., 2006; Gupta et al., 2010). This is good agreement with EXAFS experiments (see Section X-Ray Absorption Spectroscopy). Using empirical potentials, Hayashi et al. (2000) showed that by doping with La, Gd, and Y, the local structure of the dopant-vacancy complex is characterized by oxygen relaxation along the  direction. As a consequence the Ce-O distance decreases even if the average volume of the fluorite cell is increased.
The ordering of Gd dopants was studied extensively by Žguns and coworkers in two recent papers (Žguns et al., 2017, 2018). Their Monte Carlo simulations of both thermal equilibrium and rapid quenching showed a critical temperature just below 1,000 K. Their simulation showed that below Tc Gd tends to phase-separate from CeO2, forming nano-domains of C-type Gd2O3 (see Figure 8 of Žguns et al., 2017). At high temperature the Gd ions take a completely random distribution but oxygen vacancies tend to cluster in the coordination shell of the dopant. They further studied the entire CeO2-Gd2O3 phase diagram, in the full concentration range, as a function of temperature (Žguns et al., 2018).
Ce1−xRExO2−x/2 systems are very simple in appearance. Only three elements are involved in each solid solution among which RE in most cases exploit one oxidation state (+3) thus reducing the possible point defects to RE′Ce, and electrons in the conduction band. Their crystallographic structure is even simpler: in F solid solution cations and oxygen ions occupy one special positions each; even structural transitions to the C-type structure add only few positional degrees of freedom. Nevertheless, they show complex transport properties in dependence to RE nature and concentration.
In some sense, their behavior resembles the chess endgame when a small number of pieces generate a gigantic number of possible positions and move sequences (Matanović, 2012). Likewise, the few chemical elements involved in Ce1−xRExO2−x/2 phases generate extremely complex defect architectures.
In this paper, we have reviewed some recent conductivity, diffraction, spectroscopy, microscopy and computation results on Ce1−xRExO2−x/2 materials, underlying the interplay of different techniques. In particular, an accurate structural characterization at different scale length is found to be fundamental to rationalize their physical properties.
MC wrote the most part of section Experimental Structural Probes and contributed to the general organization of the review paper. SC wrote a part of section Experimental Structural Probes. ML wrote section Technological Applications of CeO2-based materials. DC wrote section Atomistic modeling methods of doped ceria. MS wrote sections Introduction, Defect Chemistry and Transport Properties, Concluding remarks and coordinated the author contributions.
Financial support provided by Italian Ministry of University and Scientific Research (MIUR), FFABR 2017.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The handling editor declared a past co-authorship with several of the authors (MC and MS).
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Keywords: rare earths doped ceria, energy, defects chemistry, structure, diffraction, microscopy, spectroscopy, theoretical calculations
Citation: Coduri M, Checchia S, Longhi M, Ceresoli D and Scavini M (2018) Rare Earth Doped Ceria: The Complex Connection Between Structure and Properties. Front. Chem. 6:526. doi: 10.3389/fchem.2018.00526
Received: 16 August 2018; Accepted: 11 October 2018;
Published: 31 October 2018.
Edited by:Cristina Artini, Università di Genova, Italy
Reviewed by:Norberto Masciocchi, Università degli Studi dell'Insubria, Italy
Sugata Chowdhury, National Institute of Standards and Technology, United States
Copyright © 2018 Coduri, Checchia, Longhi, Ceresoli and Scavini. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Marco Scavini, firstname.lastname@example.org