Abstract
Two dimensional (2D) graphene has become one of the most intensively explored carbon allotropes in materials science owing to attractive features like its outstanding physicochemical properties. In order to further practical applications, the fabrication of self-assembled 2D individual graphene sheets into 3D graphene aerogels (GAs) with special structures and novel functions is now becoming essential. Moreover, GAs are ideal as supports for the introduction of nanoparticles, polymers, and functional materials to further enhance their applications in broad areas. GAs have light weight, large surface area, good compressibility, extensibility, and high electrical conductivity. They have been used as efficient electrodes for batteries, in supercapacitors, and in sensors and actuators. This critical review mainly addresses recent progress in the methods used for their synthesis, their properties, and applications for energy storage, and in sensors and actuators. Furthermore, to assist advanced research for practical applications of these emerging materials, the technical challenges are discussed, and future research directions are proposed.
Introduction
Graphene, a robust two-dimensional (2D) sheet-like allotrope of carbon, is an extensively studied nano material owing to its distinctive combination of thermal, electrical, and mechanical properties (Novoselov et al., 2005; Li and Kaner, ). Flourishing nanotechnology and incredible innovations in research on graphene have indicated prodigious potential for its varied application in the area of photonics, electronics, energy storage and generation, sensors, bio-applications, and the environment. These fascinating properties endow it with great potential as a unique molecular building block toward the construction of macroscopic 3D monoliths. Therefore, the current focus is on assembly of 2D graphenes into 3D architectural forms of new bulk materials. These materials should integrate the fascinating properties of discrete nanostructures with the unique features of porous networks, like ultralight weight, high specific surface area, hierarchical microstructure, excellent electrical conductivity, and mechanical strength (Li and Shi, ; Nardecchia et al., 2013). Such assembly of graphene into 3D forms is known to be one of the most favorable approaches for “bottom-up” nanotechnology and has become one of the most promising research areas during the last 5 years. In the past few years, a number of approaches have been established to fabricate 3D interconnected structures of graphene (e.g., ice template, wet chemistry assembly, self-gelation, freeze casting, chemical vapor deposition (CVD), and in situ unzipping of carbon nanotubes sponge) (Min et al., 2013; Fang et al., ). For most of the methods, freeze drying or supercritical drying is essential to inhibit capillary-force-driven structural collapse of graphene 3D networks during drying. Both drying techniques produced different pore characteristics: macropores and mesopores. However, relative to the freeze-dried method, the supercritical CO2 drying offered many more mesopores with ample volume (2.48 cm3 g−1). Actually, during the freeze drying process, many mesopores fused together to form macropores, a process prompted by the growing of ice crystals. These approaches generally provide ultralight bulk materials with various types of microstructures ranging from isotropic, nanoporous assemblies to ordered, macroscopic cellular networks. Therefore, in this respect, 3D macroscopic assemblies exhibit several inherent merits, like more paths for easier access and diffusion of ions and molecules, large surface area, great mechanical strength, high electrical conductivity and superior thermal, chemical, or electrochemical stability. They also exhibit responsiveness to stimuli, ample oxygen-containing functional groups, and conjugated domains, which are useful in wide applications. Therefore, such 3D graphene aerogels (GAs) hold technological promise toward a wide range of applications like energy storage, sensors, catalyst supports, actuators, and environmental remediation. Interestingly, compared with carbon nanotube based 3D architectures, graphene-based 3D materials offer more advantages, including easy preparation, high efficiency, and economical devices (Nardecchia et al., 2013).
Although, several reviewers highlighted the applications and synthesis of 3D graphene-based materials, a review from detailed descriptions of GA synthesis and their applications for energy storage (supercapacitors and batteries), sensors, and actuators has not been done. In this context, this review article has presented the recent progress related to the synthesis of innovative 3D GAs for their applications in the fields of energy storage, sensors, and actuators. Moreover, in order to inspire more exciting developments in future, challenges and outlook are offered.
Synthesis, Properties, and Structures of Graphene Aerogels
Due to the unique structures and appealing properties of grapheme-based 3D materials, continuous efforts have been carried out to fabricate 3D-Graphene-based materials with well-ordered structures. In this section, along with the construction techniques and properties, the resulting 3D-G structures are reported.
Self-Assembly Methods, Structures, and Properties
Direct Self-Assembly of Graphene Oxide
Self-assembly of GO sheets is the most effective method for the design of 3D-Gs. Actually, in stable GO suspension, individual GO sheets are well dispersed owing to their electrostatic repulsion from the functional groups on GO sheets, and to van der Waals attraction from the basal planes of GO sheets. The gelation of a GO suspension starts when the balance between these forces is lost, leading to interconnection of the GO sheets with each other to form hydrogel, which after freeze drying generates 3D porous architecture. Therefore, the formation of graphene hydrogel is determined by various supramolecular interactions like van der Waals forces, π–π stacking interactions, hydrogen bonding, electrostatic interactions, and dipole interactions of graphene sheets (Chabot et al., ). Importantly, the presence of π–π stacking interactions of graphene sheets was confirmed due to the smaller interlayer spacing of the hydrogel (3.76 Å) compared to that of GO (6.94 Å). This was caused by recovery of π-conjugation of the GO sheets upon gelation. Chemically converted graphene was found to self-gelate without any additional gelators if the dispersion exceeded a certain concentration (Li et al., ). The hydrophilic, oxygen-containing groups on the GO surface initiated hydration-induced repulsive forces. Along with these forces, hydrophobic interaction between basal planes, and H-bond interaction between the functional groups, contributed to the self-assembly of GO suspensions. In addition, the critical gel concentration (CGC) is also an important factor for the gelation of GO suspensions. Qin et al. reported CGC of GO was 30 mg/mL during the dispersion of GO by sonication (Qin et al., 2012). However, hydrogel was also formed even when the CGC of GO was 0.075–0.125 mg/mL – but the mechanical strength of the aerogel was weak. Therefore, it is difficult to simultaneously achieve low density and high mechanical strength. In this context, self-assembly using hydrothermal and chemical reductions are the most popular techniques to form hydrogels. Wu et al. (2012a,b,c,d) prepared graphene oxide aerogel using the self-assembly approach followed by hydrogen reduction of graphene oxide aerogel to develop GA. This GA possessed high surface area and large pore size. Gelation of a GO suspension takes place by self-assembly of GO sheets through various physical treatments like direct freeze-drying, hydrothermal treatment, electrochemical deposition, controlled centrifugation/filtration, or light/temperature initiation. The surface tension within the gel resists the flow of liquid that might disrupt the bonds. There are several techniques for initiating the gelation of GO suspensions, for example, changing the pH value of dispersed GO solution, introducing cross-linkers, and employing chemical reactions.
Hydrothermal-Reduction-Induced Self-Assembly
Xu et al. first developed a one-step hydrothermal process to form self-assembled graphene hydrogel, as shown in Figures 1A–F (Xu et al., 2010). It was mechanically strong, electrically conductive, thermally stable, and exhibited high specific capacitance. It could support 100 g of weight with little deformation and the corresponding GO concentration was lower (2 mg mL−1) than that (30 mg mL−1) reported by Qin et al. (2012) for direct gelation. The strong graphene skeleton is responsible for the greater mechanical strength than that exhibited by conventional hydrogels. Most importantly, the GO concentration is another factor affecting the morphology and properties of 3D-G. Interestingly, with increasing hydrothermal reaction time, the degree of reduction of the GO increased, along with improvement of the corresponding storage modulus, compressive elastic modulus, and electrical conductivity (Xu et al., 2010). However, the BET surface area and total pore volume of the GA was reduced after drying, as reported by Nguyen et al. (2012). Therefore, 3D-G could be employed as perfect framework to make hierarchical macro- and mesoporous structures by the addition of other functional guests. Li et al. () used tri-isocyanate for the reinforcement of GAs, which showed high compressibility, and light weight, and was used for crude oil absorption.
Figure 1
Recently, Wu et al. (2015a,b) reported the self-assembly of graphene sheets into additive-free, uniform graphene-sponge with a synergistic arrangement of cork and rubber-like properties. They applied modified solvothermal reaction of GO colloidal dispersion in ethanol and consequent thermal annealing to form a material with super-elastic features such as rubber and near zero Poisson’s ratio in all directions, similar to cork. These sponges possessed very low densities, repeatable compression, and complete recovery over a wide temperature in air (~900°C) and liquid (in liquid nitrogen ~196°C) without substantial degradation. Interestingly, this graphene sponge also exhibited high storage and loss moduli, which are independent of temperature and frequency. Figures 1G–I displays the Poisson’s ratios of graphene sponge as a function of applied strain, number of cycles, and the Schwartzite model for sp2-carbon phases utilized for the Poisson’s ratio modeling.
Tang et al. (2010) reported noble-metal nanocrystal-induced graphene hydrogel made by employing hydrothermal reaction of GO suspension with noble-metal salt and glucose. They observed high catalytic activity and selectivity in the Heck reaction of their prepared Pd-induced graphene hydrogel. In addition, self-assembled graphene hydrogel can also be formed by hydrothermal treatment in the presence of divalent metal ions (Ca2+, Co2+, or Ni2+) for in situ decoration of nanoparticles on 3D-Gs including metallic particles (Jiang et al., ) and alloys (Tang et al., 2015). The metal ion-induced self-assembly process was also employed for the formation of graphene-based aerogels, using α-FeOOH nanorods and magnetic Fe3O4 nanoparticles (Cong et al., ). Ren et al. (2013) developed a cost-effective technique for the fabrication of 3D freestanding nickel nanoparticle/GA using self-assembling graphene with nickel nanoparticles during a hydrothermal process. Wu et al. (2012a,b,c,d) reported 3D nitrogen-doped GA-supported Fe3O4 nanoparticles made by hydrothermal self-assembly. This was followed by freeze drying and thermal treatment using polypyrrole as the nitrogen precursor. Figures 2A–E shows the fabrication process for 3D nitrogen-doped GA-supported Fe3O4 nanoparticles. The corresponding FESEM image revealed macroporous framework of graphene sheets with homogeneous dispersion of Fe3O4 nanoparticles. Xiao et al. (2013) established a facile and green method for the scalable synthesis of Fe2O3 particles decorated GA by hydrothermal method without additional reductant. Decorated 3D GAs were developed by self-assembly of graphene with simultaneous decoration with Fe3O4 nanoparticles using a modified hydrothermal reduction process (Xu et al., 2015a,b). Interestingly, metal oxide also used for the generation of mesopores on graphene nanosheets to develop 3D hierarchical porous GA fabricated by a hydrothermal self-assembly process. This was followed by in situ carbothermal reaction, as illustrated in Figure 2F (Ren et al., 2015).
Figure 2
Cross-Linking Agent-Induced Self-Assembly
Using organic amine and GO as precursors at mild temperature, Chen et al. (,) prepared nitrogen-doped graphene hydrogel using a hydrothermal method. The organic amine not only acts as the cross-linker to adjust the microscopic structure of 3D-Gs but is also used as the nitrogen precursor to form nitrogen-doped graphene hydrogel. Ultralight, highly compressible GAs have also been prepared by Hu et al. () using the weak reducing and crosslinking agent ethylene diamine. They used a strategy of functionalization–lyophilization–microwave treatment to develop ultralight-compressible GA.
Ultra-light, compressible, fire-resistant GA was also prepared by Li et al. () via simultaneous reduction and self-assembly of graphene oxide using ethylenediamine, followed by freeze-drying. Recently, Moon et al. (2015) designed highly elastic and conductive N-doped monolithic GA using hexamethylenetetramine as a reducer, nitrogen source, and graphene dispersion stabilizer via a combined hydrothermal and thermal annealing method (Figure 3A). An FESEM image (Figure 3B) revealed continuous cross-linking of the open-pore walls in N-doped GAs by an interconnected porous network between rGO layers in each cell wall. Conductivity was about 11.74 S m−1 at zero strain, and about 704.23 S m−1 under compressive strain of 80%. This is the largest electrical conductivity reported so far for 3D-GAs (Figure 3C). Ammonia was also used as the nitrogen precursor for the formation of N-doped GAs using hydrothermal treatment with GO solutions (Sui et al., 2015a,b,c). The product showed high surface area (830 m2 g−1), high nitrogen content (8.4 atom%), as well as good electrical conductivity and wettability.
Figure 3
Super-hydrophobic and super-oleophilic GA was fabricated by facile chemical reduction of GO solution using l-phenyl alanine (Xu et al., 2015a,b). This GA is hydrophobic, super-oleophilic, ultra-light weight exhibiting high surface area, remarkable absorption capacity and recyclability of oils and organic solvents and high mechanical properties.
Besides organic amine, layered double hydroxide (LDH) was also used as cross-linking for the self-assembly of GO to form GAs. Here, LDHs used as cross-linker to join GO nanosheets into a 3D framework through hydrogen bonds and cation–π interactions (Fang and Chen, ). These GAs demonstrated excellent hydrophilicity and structural stability in water, which assured the accessibility of their effective active sites in aqueous solution and overcomes the employment restrictions of neat GO aerogels due to their fragile morphology. Chen et al. (,) used a series of cross-linking agents containing –SH, –NH2, –COOH, and –OH groups for an examination of their reduction and self-assembly for GO dispersion. However, mercaptoacetic acid and mercaptoethanol were shown to form 3D-GAs. Actually, –SH groups reacted with hydroxyl or epoxy groups of GO to form covalent bonds resulting in the assembly of GO sheets via H-bonds. Recently, Lee et al. () reported porous, flexible, free standing graphene-aerogel paper synthesized from acid-treated glucose-strutted GAs via mechanical compression (Figure 4). Sulfur groups in the glucose struts strengthen the GA papers owing to hydrogen bonding and thiol-carboxylic acid esterification. The hybrid aerogels exhibited high tensile strength (0.6 MPa), three times higher than GA paper without glucose struts.
Figure 4
Reducing Agent-Assisted Self-Assembly
Apart from organic amine, other reducing agents were also employed for the fabrication of 3D-G. Electrically conductive, mechanically strong GA was prepared using l-ascorbic acid (Zhang et al., 2011). The authors mentioned that compared to other reducing agents (hydrazine, NaBH4, LiAlH4), l-ascorbic acid did not generate any fumy by-products, the absence of which was serious for the formation of uniform gel. Other reducing agents such as NaHSO3, Na2S, ammonia boron trifluoride, vitamin C, hydroquinone, and sodium ascorbate have also been used to form 3D-GAs (Chen and Yan,
Polymer-Assisted Self-Assembly
Hong et al. (
Figure 5

(A) Schematic illustration of the different steps for fabricating both the rGO aerogel and x-rGO aerogel: Insets at center: digital photographs depict the as-prepared chemically converted rGO wet-gel (top) and x-rGO wet-gel (bottom) after the self-assembly process. These wet-gels were transformed to graphene-based aerogels by a freeze-drying method. (B) A plausible cross-linking mechanism between PVA-wrapped rGO sheets and GA. PVA-wrapped rGO sheets were covalently cross-linked by an acetal oxygen bridge. (C) Digital photographs and SEM images of rGO and x-rGO aerogels after compression with 60% strain. (D) Compressive stress–strain curves for rGO and x-rGO. Reproduced from Hong et al. (
A process for diffusion-driven self-assembly of GO nanosheets into various porous 3D macrostructures was designed by Zou and Kim (2014) via complexation of negatively charged GO sheets and positively charged, branched polyethyleneimine. Such diffusion of branched polyethylenimine molecules permits the complex to constantly propagate into foam-like networks with tailored porosity. Poly(N-isopropylacrylamide) (PNIPAM)-assisted GA was also synthesized to form mechanically robust, electrically conductive, and stimuli responsive super-elastic GAs (Qiu et al., 2014a,b). Here, graphene hydrogel was incorporated into the PNIPAM hydrogel to form a reinforced GA-based binary network hydrogel. Therefore, the construction of hierarchical nano filler networks in the polymer can offer an effective scheme for the development of high-performance polymer nanocomposites gel.
Sol–gel chemistry was used to design GA by the polymerization of resorcinol and formaldehyde in presence of sodium carbonate catalyst in GO solution (Worsley et al., 2010; Wang et al., 2013a,b,c; Zhu et al., 2015). Worsley et al. (2010) first utilized this sol–gel chemistry to cross link individual GO sheets to form GAs that exhibited high bulk electrical conductivity (~1 × 102 S/m), much higher than that of graphene assemblies by only physical cross-links (~5 × 10−1 S/m). These GAs also have large surface area (584 m2/g) and pore volume (2.96 cm3/g) allowing these materials to be feasible candidates for catalysis, sensor, and energy storage applications. Highly N-doped porous GA was also obtained using the sol–gel chemistry of melamine–formaldehyde with GO solutions (Sui et al., 2015a,b,c).
Monomers of the corresponding polymers have also been used to synthesize cross-linked 3D-GAs by in situ polymerization, because the high molecular-weight polymers are insoluble or possess low hydrophilicity. Various polymers were prepared by this technique, in presence of GO solution, to form GAs. Pyrrole, aniline, and 4-ethylenedioxythiophene (EDOT) were used to form GAs with improved resiliency and electrochemical properties (Zhao et al., 2012a,b; Sun et al., 2014; Ye and Feng, 2014). Zhao et al. (2012a,b) proposed a unique strategy for the formation of polypyrrole–graphene foam by hydrothermal reaction of GO with pyrrole, followed by electrochemical polymerization of pyrrole. The PPy-G foam was shown to be robustly tolerant to high compressive strain without structural damage and loss of elasticity. Versatile, ultralight, N-doped GAs have been developed from hydrothermally treated aqueous suspensions of GO and pyrrole, followed by annealing under Ar gas (Zhao et al., 2012a,b). Apart from conducting polymers, other monomers including acrylamide and acrylic acid, were used to develop GAs.
Qin et al. (2015) reported a facile approach for transmuting fragile reduced graphene oxide (rGO) aerogel into super-flexible 3D architectures by incorporating water-soluble polyimide (PI), followed by freeze casting and thermal annealing. Figure 6 shows compressive stress–strain curves with different set of strains, fatigue test at 50% strain for 2000 cycles, tensile stress–strain curves, and digital images of high level of deformations under bending and torsion. This rGO/PI aerogel nanocomposite exhibited low density, excellent flexibility, extraordinary reversible compressibility, good electrical conductivity, remarkable compression sensitivity, and excellent durability.
Figure 6

(A) Stress–strain (σ–ε) curves of rGO/PI nanocomposite at different set strains: the inset indicates calculated energy loss coefficients of rGO/PI nanocomposite compressed under different strains. (B) Fatigue test of rGO/PI nanocomposite at 50% strain for 2000 cycles. Inset: energy loss coefficients over 2000 cycles. (C) Tensile σ–ε curve for the rGO/PI. (D) Digital images showing the high levels of deformation bend and torsion. Reproduced from Qin et al. (2015) with permission from the American Chemical Society.
Li et al. (
Influencing Factors for the Preparation of GAs from Gelation
From the previously mentioned overview, the concentration of GO, amount of additives, synthesis time, and temperature are the important factors affecting the fabrication of GAs, their structure, and their properties. Apart from these, pH, near infrared light, and drying method were also influential factors for preparation of GAs from gelation, because some of the stimuli induced controllable and reversible sol–gel processes of graphene and its derivatives. As stated earlier, there are two important drying methods for the fabrication of GAs: freeze drying and supercritical CO2. Zhang et al. (2011) showed GAs obtained from supercritical CO2 drying were darkish while freeze-dried GAs showed a more metallic luster. Importantly, GAs dried using the former technique support more weight, having larger surface area and pore volume, and higher electrical conductivity than those of freeze-dried GAs. Actually, the ice crystals formed during the freezing process are responsible for reducing the properties of GAs, although freezing temperature is also a significant parameter in controlling the porous structures and properties of GAs (Xie et al., 2013).
Self-assembled graphene hydrogel was obtained from reversible sol–gel transition upon exposure to different stimuli. Ruoff and his co-worker developed pH-mediated hydrothermal reduction to control the fabrication of compact high density GAs with different shapes (Bi et al.,
Photothermal sensitivity is another important factor in formation of GO/polymer composite hydrogel (Lo et al., 2011; Wang et al., 2013a,b,c). The hydrogels showed a high degree of shrinkage under near-infrared laser irradiation, but after cooling, swelled back to the original form. The swelling/de-swelling transition of light-activated hydrogel is generally reversible and recyclable depending on exposure or non-exposure to lasers (Li et al., 2013). Wang et al. (2013a,b,c) took advantage of the thermoresponsive behavior of GO/polypeptide hydrogel to show tunable bending motions at specific positions.
Template-Directed Approach, Their Structures and Properties
As with self-assembly methods, template-directed methods have been promising techniques to produce GAs with more controlled and uniform morphologies and structures. Several template-directed methods have been described below.
Template-Directed CVD Approach
The template-assisted chemical vapor deposition (CVD) method is the most widely used method and provides far better structural integrity than in GAs formed by chemically derived graphene sheets. Chen et al. (
Figure 7

Synthesis of a GF and integration with PDMS: CVD growth of graphene films (Ni–G), (A) as a 3D scaffold template and (B) using a nickel foam (Ni foam), (C) an as-grown graphene film after coating a thin PMMA supporting layer (Ni–G-PMMA), (D) a GF coated with PMMA (GF-PMMA) after etching the nickel foam with hot HCl (or FeCl3/HCl) solution, (E) a free-standing GF after dissolving the PMMA layer with acetone, (F) a GF/PDMS composite after infiltration of PDMS into a GF. All the scale bars are 500 μm. Reproduced from Chen et al. (
Like Ni foam, Cu foam was also used as another template for the fabrication of CVD grown GAs (Kim et al.,
Ice Template
Ice template-guided assembly has been used for fabricating GAs in aqueous solution (Vickery et al., 2009; Estevez et al.,
Figure 8

(A) SEM top-view image of a graphene monolith, (B) compressive stress–strain curves upto10 cycles of loading (black lines) and unloading (green lines). The insets show the corresponding SEM images under compression at different strains. (C) Electrical resistance change upon compression up to 50% of strain for over 10 cycles. The inset shows the result for one cycle. (D) Schematic showing the formation mechanism of the cork-like monolith by freeze casting. Insets shows the photographs of the corresponding samples. Reproduced from Qiu et al. (2012) with permission from Macmillan Publishers Limited.
Emulsion Template
It is a very complicated and critical procedure to develop GAs. This is because the size and structure of PrGO sheets essential to be prudently organized to adjust their interactions. Recently, Shi and his coworkers modified the hydrothermal method to form highly compressible GAs from an aqueous emulsion of GO with hexane droplets. GO sheets were accumulated surrounding hexane droplets as an emulsion template. As a result, these GAs exhibited excellent elasticity, low density, and good electrical conductivity. Menzel et al. (2015) also synthesized direct resistive heating of light-weight, compressible, thermally and electrically conductive, porous rGO aerogel via the emulsion-templating technique. They demonstrated Joule heating properties of an ultralight GA by repeated Joule heating up to 200°C, at comparatively low voltages (≈1 V) and electrical power inputs (≈2.5 W cm−3). Because the power generation per unit volume is constant, the adjustable uniform temperature in GAs offered convenient, low voltage heating in a scalable way.
SiO2 Template
The 3D printing template strategy is a unique strategy for the fabrication of 3D-GAs with designed macroscopic architectures (Zhu et al., 2015). GO ink was prepared using the concept of sol–gel chemistry of resorcinol–formaldehyde, ammonium carbonate as catalyst, and in the presence of fumed silica. Then the 3D printing method was used for the design of GA using GO ink followed by supercritical drying, annealing, and etching of fumed silica (Figure 9). Compressive stress–strain properties, energy loss coefficient and maximum stress variation with number of cycles, electrical resistance changes upon compression, and variation of Young’s modulus with density of 3D-GAs, are presented in Figure 9. This method advanced the production of porosity tailored, mechanically robust, super compressible, high electrically conductive hierarchical 3D-GAs with large surface area.
Figure 9

(A) Schematic of the fabrication process of GAs using 3D printing template. The in-plane center-to-center rod spacing is defined as L, and the filament diameter is defined as d. (B) Compressive stress–strain curves of 10 cycles of loading/unloading. (C) Maximum stress and energy loss coefficient during 10 cycles. (D) Electrical resistance change when repeatedly compressed up to 50% of strain for 10 cycles. (E) The relationships of Young’s modulus with density of bulk and printed graphene aerogels. Reproduced from Zhu et al. (2015) with permission from Macmillan Publishers Limited.
Lithographical Template
Lithography is another novel approach to the design of GAs. This is a multistep process involving creation of 3D carbon by interface lithography, followed by sputtering of 3D amorphous carbon with Ni and subsequent annealing at 750°C to convert 3D graphitic monoliths and accomplish acidic etching (Xiao et al., 2012). Here, 3D pyrolyzed photoresist films were used for the conversion of 3D porous graphene. This is a unique technique to form 3D graphene foams utilizing a host via a lithographic patterning technique.
Other Novel Approaches
Jung et al. (
Multifunctional Applications of Graphene Aerogels
Batteries
Rechargeable lithium-ion batteries (LIBs) have recently become widely used as power sources, particularly for electric/hybrid electric vehicles, portable electronics, and renewable energy systems (Chen et al.,
Graphene aerogel provides excellent support for metal oxides to enhance the overall Li-ion battery performance of the resulting hybrid materials. Chen et al. (
Figure 10

(A) Galvanostatic charge/discharge profiles of Fe3O4 @GS/GF at a current density of 93 mA g−1, (B) cycling performance of Fe3O4@GS/GF, Fe3O4@GS, and Fe3O4 NSs at a current density of 93 mA g−1, (C) cycling performance of Fe3O4@GS/GF and Fe3O4@GS at various current densities. Reproduced from Wei et al. (2013) with permission from Wiley VCH.
Table 1
| GAs/metal oxide composites | Method of preparation | Initial specific discharge capacity | No. of cycles and their corresponding capacity |
|---|---|---|---|
| GAs/Fe3O4 composites (Chen et al., | Self-assemble process | ≈2006 mA h g−1 at current density of 200 mA 1g−1 | Fifty cycles, 1100 mA h g−1 |
| GAs/Fe2O3 (Xiao et al., 2013) | Hydrothermal process | 1515 mA h g−1 at current density of 100 mA g−1 | Fifty cycles, 995 mA h g−1 |
| Fe3O4 crosslinked 3D graphene foam (Wei et al., 2013) | Hydrothermal process | 1320 mA h g−1 at current density of 93 mA g−1 | 150 cycles, 1059 mA h g−1 |
| GAs/Co3O4 composites (Ren et al., 2015) | Hydrothermal process | 2900 mA h g−1 at current density of 100 mA g−1 | 88 cycles,1050 mA h g−1 |
| GA/Co3O4 composites (Garakani et al., | Hydrothermal process | 1200 mA h g−1 at current density of 100 mA g−1 | 200 cycles, 832 mA h g−1 |
| GAs/SnO2 composites (Liang et al., 2013) | Self-assembly process at 90°C | 2100 mA h g−1 at current density of 100 mA g−1 | 100 cycles, 832 mA h g−1 |
| GAs/CoO composites (Dong et al., | Hydrothermal process | 951 mA h g−1 at current density of 100 mA g−1 | 100 cycles, 544 mA h g−1 |
| N-doped GAs/SnO2 Composites (Tan et al., 2014) | Hydrothermal process | 1963 mA h g−1 at 200 mA g−1 | 100 cycles, 1100 mA h g−1 |
| N-doped GAs/SnO2 Composites (Wang et al., 2014) | Solvothermal process | 2000 mAh g−1 at 500 mAg−1 | 200 cycles, 1200 mA h g−1 |
| GA/TiO2 composite (Qiu et al., 2014a,b) | Hydrothermal process | 956.2 mA h g−1 at 100 mAg−1 | 50 cycles, 200 mA h g−1 |
Li-ion battery performance of graphene aerogel/metal oxide composites.
Rutile SnO2 was also integrated in situ, in a controlled way, inside GAs. This is shown to exhibit enhanced Li-ion storage performance (1176 mA h g−1 for the 1st cycle and 872 mA h g−1 for the 50th cycle at 100 mA g−1) with respect to its two counterparts, namely, rough nanoparticles@3D-GA and anisotropic SnO2@2D graphene sheets (618 and 751 mAh/g for the 50th cycle at 100 mA/g, respectively) (Yao et al., 2015). Figures 11A–C displays galvanostatic cyclic measurements (for 1st, 2nd, and 50th cycles) at 100 mA/g current density, along with cycling and rate performances. The fact is that a 3D structure having large surface area and mesoporous structure remarkably improved conductivity by offering multidimensional channels for electron transport, as well as enhanced Li-ion diffusion in the electrolyte (Figure 11D). Apart from GAs, anisotropic SnO2 assembled from nanorods with large surface area provided additional approaches for accessing Li ions. Wang et al. (2014) also synthesized solvothermal-induced SnO2/N-doped GAs as anode materials for Li storage. Because of the hierarchical, porous nature along with its large surface area, the electrode showed high rate capability (614 mA h g−1 at 6000 mA g−1) with good cycling stability (905 mA h g−1 after 1000 cycles at 2000 mA g−1).
Figure 11

(A) Galvanostatic discharge/charge profiles of SnO2 NCs@GA for the 1st, 2nd, and 50th cycles at a current density of 100 mA/g. (B) Cycling performance of SnO2 NCs@GA, SnO2 NPs@GA, and SnO2 NCs@GS at a current density of 100 mA/g. (C) Rate performance of SnO2 NCs@GA, SnO2 NPs@GA, and SnO2 NCs@GS at different current densities. (D) Schematic comparison of SnO2 NCs@GS, SnO2 NPs@GA, and SnO2 NCs@GA in terms of lithium access and electron transport. Compared with sphere-shaped nanoparticles, the NCs consisting of 1D nanorods, provide additional active sites for lithium access, attributed to their increased electrode−electrolyte contact area. SnO2 NCs grown on graphene sheets (SnO2 NCs@GS) suffer from severe self-stacking, which results in shrinking of the surface area. The graphene wrapping in SnO2 NCs@GA can also accelerate electron transport by providing more shortcuts to the graphene highway. Reproduced from Yao et al. (2015) with permission from the American Chemical Society.
Recently, mesoporous TiO2 nanocrystals have also been grown in situ on GAs for LIBs (Qiu et al., 2014a,b). A TiO2/GA hybrid electrode, in the presence of glucose, showed good cycling stability compared to that without glucose. Remarkably, even when 67 wt% of the ingredients was active, it showed reversible capacity of 99 mA h g−1: four times higher than that of pristine TiO2 nanocrystals. Actually, in the absence of glucose, TiO2/GA showed poor dispersion of TiO2 nanocrystals, which hindered transfer of electrons and storage of Li ions.
Wang et al. (2015a,b) used nanostructured LiFePO4 wrapped, N-doped GA as cathode material for high-power LIBs. Such unique structure provided pathways for rapid electron transfer and ion transport and short Li ion diffusion length in LiFePO4 crystals. As a result, this form of hybrid aerogel exhibited high rate capability (78 mA h g−1) and long cycling stability (89% retention of capacity over 1000 cycles at 10 current rate). MnO2-anchored N-doped GAs were also found to exhibit promise as anodes for LIB (Sui et al., 2015a,b,c). They showed very high discharge capacity (909 mA h g−1) after 200 cycles at 400 mA g−1 current density, compared to individual MnO2 or N-doped GAs. Such hybrid aerogels also possessed good rate capability and cyclic stability due to the synergistic contribution of uniformly dispersed MnO2, and the large surface area and porosity of the N-doped GAs.
Recently, research on 3D porous graphene-based materials for Li-S batteries has grown fast owing to superior features like large surface area, and porosity that can anchor large amounts of sulfur and lithium polysulfide (Jiang et al.,
Supercapacitors
Supercapacitors involve two types of energy storage mechanism: electrical double layer capacitors (EDLC) and pseudo-capacitors (Jiang et al.,
Figure 12

(A) The CV curves of the graphene aerogel supercapacitors at various scan rates. (B) Galvanostatic charge/discharge curves of the graphene aerogel at different current densities. (C) Specific capacitances at different freezing temperatures, calculated from CV curves (D) Ragone plot of the samples in this work compared to those of previous reports. Reproduced from Jung et al. (
Table 2
| GAs based electrode | Rate capability | Specific capacitance (at scan rate or current density) | Cyclic stability | Energy density (at current density or power density) |
|---|---|---|---|---|
| MnO2/GAs (Wang et al., 2014) | 85% (from 25 mV s−1 to 1000 mV s−1) | 410 F g−1 at 2 mV s−1 at high MnO2 loading of 61 wt% | 95% after 50,000 cycles at 1000 mV s−1 | – |
| GAs from graphene suspension using electrochemical exfoliation (Jung et al., | – | 325 F g−1 at 1 A g−1 | 98% coulombic efficiency of the initial capacitance after 5000 cycles | 45 W h kg−1 at 1 A g−1 |
| GAs-Ni foam hybrid (Ye et al., 2013) | 49% (from 2 to 20 A g−1) | 366 F g−1 at 2 A g−1 | 60% after 2000 cycles at 10 A g−1 | - |
| Glucose-strutted GAs paper (Lee et al., | 84% (from 1 to 20 A g−1) | 311 F g−1 at 1 A g−1 | 92% after 4000 cycles at 20 A g−1 | – |
| GAs using l-ascorbic acid (Zhang et al., 2011) | 60% (from 50 mA g−1 to 20 A g−1) | 128 F g−1 at 50 mA g−1 | – | – |
| GAs by a self-assembly approach (Wu et al., 2012a,b,c,d) | 71% (from 100 mA g−1 to 2000 mA g−1) | 153 F g−1 at 100 mA g−1 | – | 21.1 W h kg−1 at 100 mA g−1 |
| Hypophosphorous acid and iodine reduced GAs (Si et al., 2013) | 63% in 1M H2SO4 and 74% in 6M KOH (from 0.2 to 20 A g−1) | 278.6 F g−1 in 1M H2SO4 and 211.8 F g−1 in 6 M KOH at 0.2 A g−1 | 98.5% in 1 M H2SO4 and 85% in 6M KOH | 9 W h kg−1 at power density of 100 W kg−1 |
| H3PO4 activated GAs (Sun et al., 2015) | 69% (from 0.2 to 30 A g−1) | 204 F g−1 at 0.2 A g−1 | 92% after 10,000 cycles at 5 A g−1 | 7.4 W h kg−1 at power density of 100 W kg−1 |
| 3D Hierarchical graphene/polypyrrole nanotube hybrid (Ye et al., 2013) | 55% (from 0.5 to 10 A g−1) | 253 F g−1 at 0.5 A g−1 | 95% after 2000 cycles at 10 A g−1 | – |
| Self-assembled Graphene/PANI hybrid aerogels (Yang et al., 2014) | 64% (from 0.25 to 2 A g−1) | 520.3 F g−1 at 0.25 A g−1 | 89% after 500 cycles at 1 A g−1 | – |
| Graphene/polypyrrole aerogel (Sun et al., 2014) | 76% (from 0.5 to 1 A g−1) | 304 F g−1 at 0.5 A g−1 | 58.26% after 50 cycles at 1 A g−1 | – |
Capacitive performance of various graphene aerogel based electrodes.
Although we know graphene paper acts as a promising flexible electrode, restacking and degradation issues limit the use of graphene paper as a flexible electrode. Recently, Lee et al. (
Introducing “stabilizer” or “spacer” into GAs is one of the most promising ways to enhance the supercapacitor performance, especially in using pseudo-active materials, such as metals (Li et al., 2011), metal oxides (Yu et al., 2011; Zhu et al., 2011; He et al.,
Figure 13

(A) Schematic drawing of PPy-G based supercapacitor devices. (B) CVs at 30 mV/s of the compressible PPy-G foam electrodes under 0 and 50% compression for one cycle. (C) The corresponding galvanostatic charge-discharge curves at a current density of 1.5 A g−1. (D) The specific capacitances at different compressions for 1000 cycles. Reproduced from Zhao et al. (2012b) with permission from Wiley VCH.
The capacitive performance of GAs can be further enhanced by chemical doping of hetero atoms in GAs or by etching. In either case, the presence of electro-active species and larger surface area of pores play important roles for achieving higher specific capacitance of the GAs. A versatile, ultralight N-doped GA using pyrrole as the nitrogen precursor displayed specific capacitance of 484 F g−1 at 1 A g−1 current density and high cyclic stability even after 1000 cycles (Zhao et al., 2012a,b). Yu et al. (2015a,b) prepared sulfur-doped GAs using thioglycolic acid as the sulfur precursor with hypophosphorous acid and iodine. These GAs were shown to exhibit high specific capacitance of 445 F g−1 at a scan rate of 5 mV s−1 with good rate capability (78.2%) and 73.4% cyclic stability even after 1500 cycles. These results were due to the pseudocapacitive nature of S, and to the large surface area of GAs that facilitates fast ion diffusion in the electrolyte. Sui et al. (2015a,b,c) prepared N-doped GA from ammonia and GO, to explore supercapacitor behavior. These GAs were found to exhibit high specific capacitance of 223 F g−1 at 0.2 A g−1 with good cyclic stability.
Interfacial gelation was used to create 3D, custom-shape engineered rGO on Zn foil for use in high-rate capable supercapacitor electrodes (Maiti et al., 2014). The product retained 97.8% of its initial capacity even after 4000 cycles at a fast rate of 10 mA cm−2. It also demonstrated high energy density of 2.73 μW h cm−2 and high areal power of 369.8 mW cm−2. They mentioned that such high values of GAs were attributed to the high electrical conductivity and fluent ion transport behavior. Actually, the electrically conductive, quasi-parallel interconnected graphene network surrounding open pores not only offered high rate capability but also provided large areal capacity simultaneously.
Metal-nanoparticle decorated GAs also appear to be promising electrode materials for asymmetric supercapacitors. Yu et al. (2015a,b) synthesized functionalized GAs decorated with Pd nanoparticles as efficient asymmetric supercapacitor anode materials. This GA composite showed high specific capacitance (175.8 F g−1 at 5 mV S−1), remarkable retention of rate capability (48.3% retention even after 10-fold increase of the scan rate), and good reversibility, owing to its large surface area and high electrical conductivity. Mesoporous silica has also been integrated with 3D interconnected macroporous GAs (Wu et al., 2012a,b,c,d) to generate high specific surface area with hierarchical porous features. Benefiting from the synergistic combination of meso and macroporous structures, GAs revealed high specific capacitance (226 F g−1), high rate capability, and excellent cyclic stability. Wu et al. (2015a,b) synthesized self-assembled V2O5/GA that showed high specific capacitance (486 F g−1), high energy density (68 W h kg−1), and good cyclic stability due to their hierarchical porous structure. Hybrid GA of MnO2/MnCO3/rGO has been used directly as an electrode for asymmetric supercapacitors without adding polymer binders or conductive adhesives (Liu et al., 2015a,b,c). Interestingly this asymmetric supercapacitor exhibited an energy density of 17.8 W h kg−1 with a power density of 400 W kg−1.
Graphene foam was also prepared using a Ni-foam-templated ethanol-CVD method (Cao et al.,
Ju et al. (
Sensors
Three-dimensional GAs offer ideal platforms for various electrochemical sensing, bio-sensing, and strain sensing purposes owing to the unique properties, including their large active surface area. Such GAs, decorated with metal or metal oxide/hydroxide nanostructures, could provide high energy density and electrochemical stability (Yan et al., 2015).
Recently, Qin et al. (2015) reported a flexible graphene/polyimide nanocomposite foam, which shows remarkable compression sensitivity and excellent, persistent stability for use in strain sensors. They studied the pressure responsive properties of rGO/PI monoliths and electronic resistance-variation ratios with respect to strain (Figure 14). The pressure responsive behavior showed a low-pressure regime from 0 to 1.5 kPa exhibiting increased slope with a sensitivity of 0.18 kPa−1. In the large-pressure regime (3.5–6.5 kPa), the sensitivity of the rGO/PI composite was 0.023 kPa−1 owing to variation of tunneling of charges carried between adjacent rGO sheets in the monoliths. Moreover, under a wide range of compressive strains during loading and unloading, this monolith showed variation of electronic resistance synchronization with applied strains. The variation of change in resistance with time maintained a plateau until the release of stress. It showed also good cycling stability – even after 2000 loading/unloading cycles. The variation of electronic resistance displayed reasonably excellent repeatability, with no decrease of resistance of the composites. Measurements during the bending cycles exhibited stability, and the resistance variations were consistent, indicating extraordinary electromechanical stability of the rGO/PI nanocomposite.
Figure 14

(A) Pressure–response curves for rGO/PI nanocomposite. Inset: current changes in responses to compression and release. (B) Multiple-cycle tests of change in resistance with different applied strains. (C) Cycling stability test of rGO/PI composite under repeated applied strain of 50% for 2000 cycles. (D) The variation of resistance with strains of the rGO/PI nanocomposite in a typical bending cycle. The strain refers to ΔL/L0 = (L0 LP)/L0, where L0 and LP denote the distance between two ends of the nanocomposite with and without applied pressure, respectively. Inset: electrical-resistance change of rGO/PI nanocomposite under mechanical deformation from bending and then straightening for each cycle. Photographs of the bending process. Reproduced from Qin et al. (2015) with permission from the American Chemical Society.
Table 3 reports sensor performance of few Gas-based composites. Lv et al. (2016) prepared super-elastic graphene/carbon nanotube aerogels by integrating CNTs into 3D graphene and investigated them for use in a strain-gage sensor with a tunable strain/pressure sensing capability. The sensitivity of the strain-gage of graphene/CNTs aerogels could be tuned by controlling the aerogel density. In compressive strain tests, the gage factor of the proposed sensor reached 230 and 125%, at strain of 30 and 60%, respectively.
Table 3
| GA-based composites | Sensor type | Sensing element | Sensitivity |
|---|---|---|---|
| Graphene/polyimide nanocomposite foams (Qin et al., 2015) | Strain sensor | – | 0.18 kPa−1 at a low-pressure regime from 0–1.5 kPa |
| Graphene/carbon nanotube aerogels (Lv et al., 2016) | Strain-gage sensor | – | Gage factor of the proposed sensor reached 230% at a strain of 30% |
| Graphene/iron oxide aerogel (Xu et al., 2015a,b) | Magnetic field-induced strain | – | 52% Reversible magnetic field-induced strain |
| 3D periodic graphene aerogel microlattices (Zhu et al., 2015) | Pressure sensor | – | Energy loss coefficient decreased from 60 to 30% in the first three cycles, and then remained constant |
| 3D Graphene foam network (Yavari et al., 2011) | Gas sensor | NH3 and NO2 | 30% resistance change at room temperature at lower NH3 concentration,1000 ppm and 60% resistance change at NO2 concentration of 200 ppm |
| N-doped GAs/gold nano particles (Juanjuan et al., | Electrochemical sensor | Hydroquinone (HQ) and o-dihydroxy benzene (DHB) | 1.5 × 10−8M for HQ and 3.3 × 10−9M for DHB |
| GAs-gold nanostar hybrid (Hongxia et al., | Electrochemical sensor | HQ and DHB | 4.3 × 10−10M for HQ and 2.1 × 10−10M for DHB |
| GAs/gold nanoparticle hybrid (Wang et al., 2015a,b) | Biosensor | Glucose oxidase | 0.597 μmol L−1 for glucose oxidase |
| GAs (Liu et al., 2015a,b,c) | Biosensor | Oxalic acid | 0.8 μM for oxalic acid |
| GAs/MWCNTs/Pt nanoparticles composites (Cao et al., | Electrochemical sensor | H2O2 | 8.6 nM for H2O2 |
Sensory performance of graphene aerogel based composites.
Wu et al. (2015a,b) established a 3D-bonded spongy graphene material with density similar to that of air. These graphene sponges exhibited both rubber and cork-like features. They displayed Poisson’s ratios in both the axial and radial directions that were near-zero, and were largely strain-independent during reversible compression. Freestanding, mechanically stable, highly electrically conductive graphene foam has been prepared using a two-step process that includes dip-coating and pyrolysis. The foam showed ultralow density of ≈1.2 mg cm−3, elastic modulus of 90 ± 29 kPa, and compressive strength of 4.7 ± 1.6 kPa, corresponding to a porosity of more than ≈99.8%. The graphene foam-PDMS composites could be used for a range of low and high-strain/pressure sensors owing to the differences in sensitivity provided by different densities of GF (Samad et al., 2015).
A graphene foam with a hierarchical structure can be further enhanced using a directional freezing technique and afterward high thermal treatment for a large-scale strain-gage sensor (Kuang et al.,
Yavari et al. (2011) developed a macroscopic 3D graphene foam network for high sensitivity gas sensing. Such sensors demonstrated parts-per-million level detection of NH3 and NO2 in air at room-temperature and atmospheric pressure. Importantly, the graphene foam structures showed high sensitivity of gas detection in the parts-per-million range because of charge carrier transport through the mechanically robust, but flexible, macro-scale graphene foam network.
Because of high electron transfer rate, porous structure and their chemical and biological inertness GAs exhibit ultrasensitive chemical response. Juanjuan et al. (
Actuators
Recently, soft actuators have been intensively researched as promising candidates for use in soft robotics, flexible displays, and haptic devices. Though GAs are eminently suitable materials for soft actuators due to their super-lightness, high compressibility, stretchability, and porosity, few papers related to GA-based actuators have been published, until recently.
Xu et al. (2015a,b) succeeded in synthesizing Fe3O4 nanoparticle-decorated 3D-GAs by self-assembly of graphene and nanoparticles using hydrothermal reduction, as shown in Figure 15. The incorporation of Fe3O4 nanoparticles in the aerogels makes the aerogels respond to magnetic stimuli. This aerogel shows great magnetic field-induced actuations of 52 and 35% along the radial and axial directions, respectively. Graphene and carbon nanotube compound, aerogel-based shape-memory composites, exhibiting actuation performance under a voltage of 60 V, were developed by Liu et al. (2015a,b,c). Epoxy, known as a shape-memory polymer, was used for the shape recovery of the composites. In addition, ultralight x-TPI/graphene foams have been studied for high-performance shape-memory actuations with a high thermotropic property. This results in low actuation-voltage (6–10 V) and in short recovery time (8 s) (Li et al.,
Figure 15

(A) Schematic diagram of the experimental setup for actuation tests and (B) magnetic induced compression along the axial and radial directions of Fe3O4/GA. (C) Actuation strains as a function of the magnetic field intensity and (D) height changes for 20 cycles. Reproduced from Xu et al. (2015a,b) with permission from the American Chemical Society.
Table 4
| Gas-based actuators | Actuation type | Actuation performance | Durability |
|---|---|---|---|
| GAs/Fe3O4 composites (Xu et al., 2015a,b) | Magneto-responsive actuation | Strain of 52% (radial)/35% (axial) @ 1.2 T | No change after 20 cycles |
| Graphene-CNT aerogel/epoxy composites (Liu et al., 2015a,b,c) | Shape memory actuation | Bending angle of 81° @60 V | – |
| GAs/trans-1,4-polyisoprene composite (Li et al., | Shape memory actuation | Strain of 80% @10 V | 99% after 10 cycles |
The actuation performances of graphene aerogel based actuators.
Conclusion and Prospects
Flourishing nanotechnology and incredible innovation regarding GAs have opened up major potential for their wider application in energy storage devices (batteries and supercapacitors), sensors, and actuators. Importantly, GAs can be easily integrated into devices. Moreover, they are superior to 2D graphene-based materials due to a long list of uniquely beneficial characteristics (e.g., very high surface area, high electrical and thermal conductivity, high chemical and electrochemical stability, high elasticity and flexibility, high hydrophobicity). Therefore, they can be demonstrated to provide a facile strategy by which to bridging the gap between the nanoscale properties of graphene and practical macro-scale applications. To facilitate the challenges faced in the design of these progressive materials, this article presents a broad review about the most current evolution in detailed synthesis procedures, properties, fundamental understanding, and their wide applications as electrode materials in batteries, supercapacitors, sensors, and actuators. GAs are not only designed by assembly of graphene nanosheets for practical applications but might also be used as support materials on which to load inorganic nanoparticles and various organic or polymeric molecules. Such loading can be used to improve GA functionalities or overcome the restrictions of pure GAs for specific target applications, by combining the merits of all their components.
Although, a lot of effort has been devoted to these emerging materials, there are still many challenges to address in developing real world applications. First, the efforts to address the non-homogeneity of GAs with respect to porosity, pore size, and functional groups; lack the controlled fabrication methods and deep knowledge of the assembly mechanism. Second, it is crucial to develop facile methods for creating high-quality GAs fit for real, specific applications. Third, precise characterizations are required to understand the surface chemistry of GAs. Fourth, the fabrication of high-quality materials and their applications in actuators are still in the primary stage. Although there are several challenges to be met in the near future, it is expected that GAs will become one of the most promising materials in the world, by providing new opportunities for revolutionary changes in science and technology, and most importantly, in real life.
Statements
Author contributions
Dr. MK wrote the synthesis part of review article, and JK and JO wrote the application part of the graphene aerogels. Prof. I-KO decided to write the review article regarding graphene aerogels, outlined the whole contents and carefully wrote the review article.
Funding
This work was partially supported by Creative Research Initiative Program (2015R1A3A2028975) funded by National Research Foundation of Korea (NRF).
Conflict of interest
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.
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Summary
Keywords
graphene, aerogel, supercapacitor, sensors and actuators, energy storage materials
Citation
Kotal M, Kim J, Oh J and Oh I-K (2016) Recent Progress in Multifunctional Graphene Aerogels. Front. Mater. 3:29. doi: 10.3389/fmats.2016.00029
Received
29 February 2016
Accepted
13 June 2016
Published
28 June 2016
Volume
3 - 2016
Edited by
Davide Ricci, Istituto Italiano di Tecnologia, Italy
Reviewed by
Thiagarajan Soundappan, Washington University in St. Louis, USA; Feng Du, Case Western Reserve University, USA
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© 2016 Kotal, Kim, Oh and Oh.
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) or licensor 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: Il-Kwon Oh, ikoh@kaist.ac.kr
Specialty section: This article was submitted to Carbon-Based Materials, a section of the journal Frontiers in Materials
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