Elastic scattering of electrons by water: An ab initio study

1 Introduction

A complete understanding of the collision processes of charged particles with atoms, molecules, and solids is of paramount importance in several areas of physics, chemistry, and medicine. On the one hand, electron and ion beams are used for manufacturing devices, such as in lithography techniques to fabricate integrated circuits or other nanostructures (Dapor, 2020). On the other hand, scattering experiments involving charged projectiles may represent a tool to “extend our vision”. Indeed, by tuning the kinetic energy of the impinging particles, we can characterise the spectrum of materials electronic and optical properties and probe different time (or frequency) and length (or momentum) scales, such as in energy loss (Azzolini et al., 2017; Azzolini et al., 2018b; Azzolini et al., 2020; Pedrielli et al., 2021; Pedrielli et al., 2022), secondary electron (Azzolini et al., 2018a; Taioli et al., 2022a), and Auger (Taioli et al., 2009; Taioli et al., 2010; Colle et al., 2004a; Colle et al., 2004b; Taioli and Simonucci, 2015; Taioli and Simonucci, 2021b; Taioli et al., 2015) spectroscopies. Moreover, the modelling of charge transport and flow inside materials (Dapor, 2020) and different media, such as stellar and interstellar plasma (Maciel, 2013) or biological matter (Nikjoo et al., 2016), is fundamental for the interpretation of phenomena ranging from the nucleosynthesis of the chemical elements in evolved stars (Simonucci et al., 2013; Morresi et al., 2018; Vescovi et al., 2019; Palmerini et al., 2021; Taioli et al., 2022b; Mascali et al., 2022) to hadrontherapy treatments for cancer cure (Taioli et al., 2020; Pedrielli et al., 2021; de Vera et al., 2022b).

In all these processes the charged particles undergo scattering events that can be classified as either elastic or inelastic. In inelastic scattering energy is exchanged between the projectile and the target constituents resulting in energy loss of the incident particle. The loss pattern, which can be caused by several mechanisms, can be used to analyse the target properties. For example, in materials science electron beams are employed as a probe of the electronic and optical properties, such as in analytical techniques like scanning (SEM) and transmission (TEM) electron microscopy. The energy transferred to the specimen produces an energy loss of the primary beam, which leads to a range of useful signals that can be used to characterize the material. At variance, elastic scattering occurs with no energy loss experienced by the incident primary electron. Elastically scattered electrons change their direction of motion without changing their wavelength. For example, coherent elastic scattering is a common mechanism exploited in electron diffraction to analyze the structure of bulk crystals and surfaces, such as in the low energy electron diffraction (LEED) technique.

Despite the recognized maturity of the experimental research field in electron scattering and charge transport, the quality (or nature) and the quantity of the experimental results available, the theoretical assessment of the cross sections of scattering events involving electrons is still essential for enabling us to resolve the combined effects on the spectral lineshape due to the intrinsic features of the intraband and interband transitions, the vibrational and rotational details, and the characteristics of the incident beams and of the electron spectrometer apparatus. To deliver such an accurate theoretical description of the irradiation and of its role to initiate physical-chemical processes, one must develop a framework capable of dealing with three main issues. First, a treatment of the electron repulsion that includes the correlation effects within the system and between the projectile and the (ionic) system, particularly at low energy where these effects are more significant; second, the calculation of the continuum orbital at a given positive energy, as the scattering matrix is rather sensitive to the quality of such wave function; finally, a computational effort that should be of the same order of magnitude as that of standard bound state calculations.

In this work we focus on these three aspects by developing a theoretical and computational method for modelling the elastic collision of electrons from non-spherical potentials, which we apply as a test case to electron-water molecules scattering, a well-known and much studied problem. Water is indeed the main constituent of biological tissues, and electron-water collisions are crucial events e.g. in the hadrontherapy techniques for cancer cure that aim to induce unrecoverable bio-damage to tumor cells. Surprisingly, the radiation damage is mostly due to low-energy electrons, generated upon collisions of impinging hadrons, such as protons or charged ions, with biological tissue rich in water (Gorfinkiel et al., 2005; Taioli and Tennyson, 2006b; Taioli and Tennyson, 2006a; de Vera et al., 2022b; Taioli et al., 2020). However, the mechanisms underlying the radiation-based killing of tumor cells in cancer therapies have not yet been fully understood, especially at low energy where quantum effects are dominant (Signorell, 2020; Song et al., 2021). In fact, in our analysis we were driven by the lack of reliable experimental and theoretical data in low-energy (below 10 eV) electron-water elastic scattering, despite the study of electron scattering in liquid water being a very active field of research (Gianturco and Scialla, 1987; Gianturco et al., 1998; Gorfinkiel et al., 2002; Faure et al., 2004; Gorfinkiel et al., 2005; Itikawa and Mason, 2005; Taioli and Tennyson, 2006b; Zhang et al., 2009; Kadokura et al., 2019; Signorell, 2020; Song et al., 2021). Theoretical analysis is in particular hindered by the intrinsic difficulty to fully account for the physical properties of water assemblies from first principles, such as the existence of a permanent dipole moment, the electron-electron exchange-correlation interaction between the incoming electron and the scattering center, the numerous electronic excited configurations coupled with roto-vibrational states, and the inter- and intra-molecular multiple scattering effects.

Indeed, it was immediately understood that the elastic scattering cross section for a polar molecule diverges at all impinging electron energies within the Born approximation, where nuclei are fixed (Altshuler, 1957; Garrett, 1972) (as in the case of a bare Coulomb potential generated by a point-particle, see e.g. the Rutherford elastic cross section), and that rotations should be taken into account to achieve a finite value. Moreover, it was also realised that the electron elastic scattering is dominated by small scattering angles (Fabrikant, 2016; Fedus and Karwasz, 2017). In fact, also in currently and widely used approaches based on the Mott’s theory (Salvat et al., 2005) these effects are included semi-empirically, while the inter-atomic potential is treated as a mere superposition of atomic contributions neglecting the overlapping tails of the atomic potentials. More recently, Tennyson and coworkers used the R-matrix approach to study the electron and positron collisions with polar molecules, such as water, at low energy (Gorfinkiel et al., 2002; Faure et al., 2004; Gorfinkiel et al., 2005; Taioli and Tennyson, 2006b; Zhang et al., 2009; Kadokura et al., 2019; Song et al., 2021). The R-matrix approach to scattering consists in dividing the system into an asymptotic region, where the non-interacting wave function is analytically known, and a scattering region, where the electron-molecule interaction is accounted for by high-accuracy quantum-mechanical methods, such as configuration interaction or coupled cluster. The matching of the inner and outer solutions at the boundary leads to important scattering information, such as phase shift and transmission probability. Nevertheless, these analyses were related to a single water molecule for impinging electron kinetic energies larger than 10 eV, also due to the lack of experimental data, typically carried out in water vapour, in this energy range. Furthermore, the R-matrix approach makes use of a partial wave expansion to represent the scattering electron inside the inner sphere, whereby the presence of large dipole moments means that such expansion is only slowly convergent (Tennyson, 2010).

With this in mind, our primary goal is to develop a method that does not suffer the limitations of the previous approaches and allows one to reproduce accurately the experimental results; moreover it is sufficiently general to be applied not only to the analysis and interpretation of the elastic scattering cross sections of electrons colliding with (polar) molecular aggregates but also to be extended to the study of other inelastic scattering processes, such as excitation and ionization, since its central feature is the ability of calculating accurate wave functions for continuum states of polycentric systems.

Our approach to assess the elastic scattering cross section (ESCS) of electrons (in general applicable to charged particles) is fully ab initio and consists in the following steps. First, we solve self-consistently the Dirac-Hartree-Fock (DHF) equations for the single water molecule or the water clusters, thus taking into account relativistic effects that may include spin-flip and polarization of the beam spin. We expand the electronic wave functions and the Coulomb potential for fixed nuclear positions using an Hermite Gaussian function (HGF) basis set, which is enlarged and optimized with more or less diffuse functions to reproduce the properties of the continuum electron orbital in different energy regions. We then build the scattering cross section by computing the solution of the Lippmann-Schwinger (LS) equation for the scattering state (Taioli et al., 2010) with the Coulomb potential term projected into the functional space spanned by the Gaussian basis set.

At first, we benchmark our method by comparing the results obtained using finite differences with one- and two-dimensional model potentials, where exact solutions for the scattering phases can be computed by accurately integrating the Schrödinger (or Dirac) equations. Moreover, we discuss elastic scattering on a single water molecule, and we further extend the investigation to clusters of water molecules in liquid phase and water aggregates, such as the zundel cation, to mimic the presence of surrounding molecular environment in order to rigorously determine the effect of multiple scattering on the elastic scattering cross section.

This article is organised as follows: in Section 2 we will discuss the basics of our theoretical and computational method, such as the projected potential method using HGF basis set in connection with the LS equation, and its benchmark with a toy model potential in one and two dimensions; to show its capabilities and accuracy, in Section 3 we apply our framework to the calculation of the total elastic cross section of electrons colliding with a single, a cluster, and an aggregate of water molecules. In Section 4 we present final remarks and conclusions.

2 Theoretical and computational methods

2.1 Differential and total elastic scattering cross sections

The ESCS, which we aim to compute in this work, is defined as follows:

${\sigma }_{el}\left(T\right)={\int }_{\mathrm{\Omega }}\frac{d{\sigma }_{el}\left(T,\mathrm{\Omega }\right)}{d\mathrm{\Omega }}d\mathrm{\Omega },(1)$

where T is the kinetic energy of the primary beam, and dΩ = sin θdθdϕ defines the differential solid angle. The differential elastic scattering cross section (DESCS) appearing in Eq. 1 can be obtained by following two different routes. On the one hand one can apply the relativistic Mott theory (Mott, 1929), whereby the DESCS of electrons impinging on a single molecule can be computed as (Salvat et al., 2005; Dapor, 2020):

$\frac{d{\sigma }_{\text{el}}\left(T,\theta \right)}{d\mathrm{\Omega }}=\mathcal{N}\sum _{m,n}{e}^{\left(i\mathbf{q}\cdot {\mathbf{r}}_{mn}\right)}\left[f_m\left(\theta \right)f_n^{*}\left(\theta \right)+g_m\left(\theta \right)g_n^{*}\left(\theta \right)\right],(2)$

where r_mn = r_m − r_n is the distance between the atoms m and n within the molecule, $\mathcal{N}$ is the target atomic number density, and q and θ are the momentum transfer and the scattering angle; finally f_m,n(θ) and g_m,n(θ) are the direct and spin-flip scattering amplitudes of the atomic species m, n, respectively. f_m,n(θ) and g_m,n(θ) can be obtained by solving the Dirac equation in a central atomic potential for the single atomic constituent.

To take into account the presence of bonded interactions between different chemical species in Eq. 2 the sum is carried out using atomic scattering amplitudes weighted by an exponential displacement (rather than probabilities), allowing for interference and intramolecular scattering. Nevertheless, within this approach the calculation of the molecular scattering potential and of the continuum electron wave function is carried out as a mere superposition of independent atomic centers, thus neglecting the overlapping tails of the long-range part of the Coulomb interaction and the relevant multiple scattering effects. In this framework, consequently, the presence of the electrical polarity due to charge separation, such as the permanent dipole moment of liquid water that has a dramatic effect on the DESCS, is superimposed and treated semi-empirically.

The presence of surrounding water molecules in the liquid phase, which are randomly oriented can be taken into account by averaging Eq. 2 over all the possible spatial orientations, which leads to the following relation:

$\frac{d{\sigma }_{el}}{d\mathrm{\Omega }}=\sum _{m,n}\frac{\text{sin}\left(k{r}_{m,n}\right)}{k{r}_{m,n}}\left(f_m^{*}\left(\theta \right)f_n\left(\theta \right)+g_m^{*}\left(\theta \right)g_n\left(\theta \right)\right).(3)$

Again, Eq. 3 does neglect both multiple scattering effects, as atoms are treated as independent scattering centers, and the overlap between the long-range parts of the intermolecular potential.

To overcome these issues, we have developed an approach based on the full ab initio treatment of the electron-electron (intermolecular and intramolecular) interaction. Within our approach, the DESCS is assessed by:

$\frac{d{\sigma }_{el}}{d\mathrm{\Omega }}=\frac{m^2}{4{\pi }^2}|\langle {\varphi }_{k\widehat{n}}|T^{+}\left(E\right)|{\varphi }_{\mathbf{k}}\rangle {|}^2=\frac{m^2}{4{\pi }^2}|\langle {\varphi }_{k\widehat{n}}|V|{\psi }_{\mathbf{k}}^{+}\rangle {|}^2,(4)$

where m is the mass of the impinging particle, ${\varphi }_{k\widehat{n}}$ and ϕ_k are the asymptotic electron wave-function long after and long before the scattering, respectively, characterised by the modulus of the momentum k, which is scattering invariant (elastic scattering), the scattering angle identified by the unit vector $\widehat{n}$, and incident orientation defined by $\widehat{\mathbf{k}}$; T is the on-shell T-operator, V is the self-consistent potential and ${\psi }_{\mathbf{k}}^{+}(E)$ is the scattering wave function. For liquid water, to account for haphazard molecular orientation, we have equivalently decided to span several different incident directions θ, ϕ of the impinging electron by clamping down molecular rotations.

The scattering wave function can be obtained by following two different, while equivalent routes. The first approach is the direct solution of the many-body Schrödinger Hamiltonian (or Dirac in a fully relativistic treatment of the electron motion) for positive energy eigenvalues E:

$H{\psi }_{\mathbf{k}}^{+}\left(E\right)=\left(H_0+V\right){\psi }_{\mathbf{k}}^{+}\left(E\right)=E{\psi }_{\mathbf{k}}^{+}\left(E\right),(5)$

where H₀ and V are the kinetic energy and the electron-electron Coulomb repulsion operators, respectively. Furthermore, it has been proved (Taioli et al., 2010) that such many-body problem can be reduced to an effective single-particle problem, in which the scattering states can be obtained from the resolution of the following LS equation for the continuum orbital that can be solved exactly using a Green’s function approach with the proper boundary condition:

${\psi }_{\mathbf{k}}^{+}\left(E\right)={\varphi }_{\mathbf{k}}^{+}\left(E\right)+G_0^{+}\left(E\right)V{\psi }_{\mathbf{k}}^{+},(6)$

where

$G_0^{+}\left(E\right)=\underset{ϵ\to 0}{\text{lim}}{\left(E-H_0+iϵ\right)}^{-1}(7)$

is the Green’s function of the free particle at the same energy E of the interacting Hamiltonian of Eq. 5, and ${\varphi }_{\mathbf{k}}^{+}(E)$ is the eigenvector of the free Hamiltonian H₀. This expression holds in both non-relativistic and relativistic theories, notwithstanding wave functions are 4-components spinors in the latter framework (Reiher and Wolf, 2014). In this work we adopt the Green’s function method of Eq. 6 by projecting both the Coulomb potential and the continuum orbital using HGFs (for details on the use of HGFs with the LS equation see the following Section 2.3).

The DESCS in Eq. 4 is computed by solving either the Schrödinger or the Dirac equation within a numerical scheme where the electron-electron Coulomb repulsion is approximated. In our approach, we use a mean-field approximation based on the Hartree-Fock (or Dirac-Hartree-Fock (DHF) in a fully relativistic treatment) method, where the orbital wave function and the scattering potential are obtained by the self-consistent solution of the relevant equations (see the Appendix for further details).

2.2 Benchmark system: 1D multichannel scattering from toy model potentials

Prior moving to the discussion of the results on water and water aggregates, as a test we benchmark our method against a model system. In particular, we consider the following two-channels problem (ℏ = 1):

$-\frac{1}{2m}{\nabla }^2{\psi }_j\left(\mathbf{r}\right)+\sum _k{V}_{jk}\left(\mathbf{r}\right){\psi }_k\left(\mathbf{r}\right)=E{\psi }_j\left(\mathbf{r}\right),(8)$

where j, k label the indices of the two channels. The Hamiltonian in Eq. 8 is intentionally non-relativistic avoiding thus the description of the electrons in terms of spinors and total angular momentum, as our goal is to resort to the simplest model in order to test the validity of the LS approach in connection with HGFs as a basis set to expand continuum scattering states. In fact, in a non-relativistic approximation to scattering we rely on the use of wave functions (instead of spinors) and a good quantum number is represented by the orbital angular momentum l (instead of the total angular momentum j). We also limit our test for the sake of simplicity to the modelling of two s-orbitals channels, as the additional basis functions that we include in the simulation of the electron-water scattering contain only s-type HGFs. By considering a spherically symmetric potential V(r), the wave function can be conveniently factorised in radial and angular parts, i.e. ${\psi }_j\left(\mathbf{r}\right)={\mathcal{R}}_{jl}\left(r\right)Y_{lm}\left(\vartheta ,\phi \right)$, which specifically for the s-channels case reads ${\psi }_j\left(\mathbf{r}\right)={\mathcal{R}}_{j0}/\sqrt{4\pi }$. From Eq. 8 one writes the following system of coupled differential equations:

$\begin{array}{cc}\hfill & -\frac{1}{2m}\frac{d^2}{d{r}^2}{u}_1\left(r\right)+V_{11}\left(r\right)u_1\left(r\right)+V_{12}\left(r\right)u_2\left(r\right)=E{u}_1\left(r\right)\hfill \\ \hfill & -\frac{1}{2m}\frac{d^2}{d{r}^2}{u}_2\left(r\right)+V_{21}\left(r\right)u_1\left(r\right)+V_{22}\left(r\right)u_2\left(r\right)=E{u}_2\left(r\right),\hfill \end{array}(9)$

where $u_j\left(r\right)=r{\mathcal{R}}_j\left(r\right)$, and $u:{\mathbb{R}}_{+}\to {\mathbb{C}}^2$ fulfills the condition $u_j\left(0\right)=0$. We solve these equations by further assuming m = 1 for the following (Yukawa-type) model potentials:

$\begin{array}{cc}\hfill & V_{11}\left(r\right)=-V_{22}\left(r\right)=-14\frac{e^{-0.5r}}{r}+7\frac{e^{-0.2r}}{r}\hfill \\ \hfill & V_{12}\left(r\right)=V_{21}\left(r\right)=2\frac{e^{-0.3r}}{r}.\hfill \end{array}(10)$

In Figure 1 we show the phase shifts (panel a) and the T-matrix elements (panel b) calculated in the auto-channels, identified as those channels in which both the incoming and outgoing wave funtions are in the same channel.

FIGURE 1

FIGURE 1. Results of the toy model potential problem of Eq. 9. (A) Phase shifts for the auto-channels obtained through the integration of the differential equation (ODE) and through the projection on a Gaussian basis set by solving the corresponding Lippmann-Schwinger equations. The Gaussian basis set is composed by 40 well tempered s-Gaussian functions. (B) Comparison of the T-matrix elements for the auto-channels using the LS and ODE approaches.

In particular, we compare the numerical solution obtained by integrating Eqs. 9 via a fourth-order Runge-Kutta method (ODE in Figure 1 represented by the colored continuous lines), which is almost exact, with the results obtained using the LS equation (points in Figure 1) in which the potential is projected using 40 well-tempered s-type Gaussian functions (Huzinaga and Klobukowski, 1993), which deliver the best convergence with the ODE calculations (for details on the use of Gaussian functions with the LS equation see the following section 2.3). We observe that the phase shifts in Figure 1A) in the auto-channels are well reproduced apart from a small region around 10 Hartree where the LS solutions deviate from the exact ones. This is reflected in the T-matrix elements of Figure 1B), where the resonance in the channel two to two around the energy of 10 Hartree is shifted towards larger energies in the LS solution. This can be rationalized by recognizing that the 40 HGFs basis set is not well suited to describe accurately this energy region, while it works very well in the low energy part. It is worth to notice that, of course, the resolution achievable by a given basis set depends upon the number and type of Gaussian functions. We will come back and solve this issue in the calculation of the ESCS of water.

2.3 Our method: Gaussian projection of the Lippmann-Schwinger equation

The numerical solution of the DHF equation (or Schrödinger equation in non-relativistic approximation) can be found by expanding the wave functions and the potential using HGFs, which represent one of the most suitable basis set to study non-spherical polyatomic systems, such as water, water cluster and water molecular aggregates (for more details on this procedure see Ref. (Taioli and Simonucci, 2021a)). The HGFs are defined as follows:

$\begin{array}{ll}\hfill g\left(\mathbf{r}\right)& =g\left(u,v,w;a,\mathbf{R};\mathbf{r}\right)=N\frac{{\partial }^{u+v+w}}{\partial X^u\partial Y^v\partial Z^w}{\left(\frac{2a}{\pi }\right)}^{3/4}\hfill \\ \hfill & \times \text{exp}\left[-a{\left(\mathbf{r}-\mathbf{R}\right)}^2\right],\hfill \end{array}(11)$

where R ≡ (X, Y, Z) is the center of the HGF (which can or cannot coincide with the nuclei positions), a determines the HGF width, and (u, v, w) represent the order of derivation that determines the symmetry of the HGF (e.g. first derivative represents a p-type orbital, the second derivative a d-type orbital …); finally, N is a coefficient set to normalize the HGFs. The mono- and bi-electronic integrals of the fully relativistic many-body Hamiltonian are evaluated by including several HGFs characterised by different derivation orders and centers (Taioli et al., 2010; Taioli and Simonucci, 2021a).

Our approach relies on the semi-projected potential method (Taioli et al., 2010; Taioli and Simonucci, 2021a), where the Coulomb potential is projected in HGFs, while the kinetic energy term H₀ = cα ⋅p + βmc² (α and β are the Dirac matrices, see Eq. 15 of the Appendix) is unprojected so as to recover the asymptotic continuum after the Coulomb potential dies off. Within this method the LS Eq. 6 for the scattering wave function identified by the quantum number γ reads:

${\psi }_{\gamma \mathbf{k}}^{+}\left(\mathbf{r}\right)=e^{i\mathbf{k}\cdot \mathbf{r}}+G_0^{+}\left(\epsilon \right)V_{\gamma }^t\left(\mathbf{\text{r}}\right){\psi }_{\gamma \mathbf{k}}^{+}\left(\mathbf{r}\right),(12)$

where $V_{\gamma }^t={\sum }_{\lambda \mu \nu \tau }|\lambda >S_{\lambda \mu }^{-1}<\mu |{\widehat{V}}_{\gamma }|\nu >S_{\nu \tau }^{-1}<\tau |,S_{\lambda \mu }=<\lambda |\mu >$ is the approximate DHF self-consistent potential represented by a set of HGFs, which includes both the Coulomb and static dipole components of the potential. By replacing V_γ with $V_{\gamma }^t$ the LS equation 12 can be solved as follows:

${\psi }_{\gamma \mathbf{k}}^{+}\left(\vec{r}\right)=e^{i\mathbf{k}\cdot \mathbf{r}}+G_0^{-}\left(\epsilon \right)T_{\gamma }\left(\epsilon \right)e^{i\mathbf{k}\cdot \mathbf{r}},(13)$

where T_γ is the transition operator defined by the equation $T_{\gamma }=V_{\gamma }^t+V_{\gamma }^t{G}_0^{-}(\epsilon )T_{\gamma }$. Within this approach we make use of the Static Exchange Approximation, in which one neglects the effects of the continuum orbital on the bound orbitals. The elements of the HGF basis set are chosen to minimize the difference $(V_{\gamma }-V_{\gamma }^t){\psi }_{\gamma \mathbf{k}}^{+}(\mathbf{r})$ inside the region of interest.

As in this work we aim to assess the total elastic scattering cross section for a range of electron kinetic energies, which can span several orders of magnitudes (from 0.001 to 10³ eV), one can guess that it is cumbersome to find a unique HGF basis set able to reproduce the behaviour of the scattering wave function in such a large energy region. In particular, we have found that the basis set for different energy ranges cannot be one and the same, owing to the difficulty of reproducing the continuum orbital in different regimes with the same basis set. In our simulations of the liquid water we use thus two sets of HGFs. The first basis set is centered on the oxygen and hydrogen atoms and is common to all the test cases, independent of the number of water molecules included in the calculation of the elastic scattering cross section. In particular, the basis sets used to expand the bound and continuum orbitals are made of totally uncontracted HGFs, that is of (12s, 8p, 6d, 4f) Gaussian functions centered on each hydrogen nucleus and of (20s, 12p, 8d, 6f, 4g) Gaussian functions centered on the oxygen nuclei. These uncontracted basis functions must be optimized so as to reproduce orbital eigenfunctions of the DHF Hamiltonian at the energies of interest starting e.g. from standard tabulated Gaussian basis sets (Pritchard et al., 2019).

Depending on the electron kinetic energy range, we have found that the inclusion of a second set of HGFs is critical to reproduce the elastic scattering experimental data. This observation is in agreement with the toy model potential calculations previously presented, where a small number of HGFs was not sufficient to reproduce the accuracy of the exact solution at all energies (see Figure 1 around 10 Hartree). This finding can be rationalized by noticing that the insertion of this further s-symmetry basis set delivers enough flexibility to reproduce the scattering wave function behaviour in different energy regions: narrower HGFs (that is larger exponential coefficients a in Eq. 11) can more accurately represent the highly oscillating behaviour of the scattering wave function at high energy, while more diffuse HGF (that is smaller exponential coefficients a in Eq. 11) can better reproduce the slowly varying behaviour of the scattering wave function at low energy. The values of a are thus intimately connected to the wavelength of the scattering wavefunction. This further HGF basis set is uniformly distributed within a sphere, roughly centered on the center of mass of the water molecule, and characterised by a variable radius $R=1.25/\sqrt{a}$ (in a. u.), where a is the exponent of the HGF.

3 Results and discussion

3.1 Single water molecule

Using the approach presented in the methodological section, we carried out the calculation of the total elastic scattering cross section of electrons impinging on i) a single water molecule; ii) a cluster of 2 and 3 water molecules to address the multiple scattering problem in the liquid phase; iii) the zundel cation.

In Figure 2 we show the results obtained for the single water molecule, which is well studied both experimentally and theoretically. Our ab initio results (continuous multi-colored line) are compared with other theoretical and experimental approaches summarized in Ref. (Song et al., 2021) (see the figure caption for details on the different points). We notice that our calculations are performed in the fixed-nuclei approximation, i.e. we do not account for rotational and vibrational degrees of freedom. We also stress that unfortunately a single set of HGFs cannot accurately describe the elastic cross section in the full spectrum, that is to say that one needs to include more or less diffuse HGFs in order to be able to describe the oscillations of the continuum wave function (and, ultimately, of the Coulomb potential tail) in different energy ranges. Thus, we decided to add further s−symmetry HGFs to the bound state basis set of water, whose width a depends on the energy region. Each colour of the line represents thus a different Gaussian width (see the legend in Figure 2, reporting in bohr⁻² the seven a coefficients used to accurately reproduce the experimental data). We notice that while these coefficients were optimized by comparison with experimental results, their physical meaning is clear: at low energies the variance of the Gaussian functions should capture the long wavelengths related to low energies; on the other hand at higher energies the dependence on the a coefficient is less stringent; in general, larger values of a describe better the higher oscillations. Interestingly, above 4 eV our results are in excellent agreement with those by Khakoo et al. (Khakoo et al., 2013), while below 4 eV our data, although following the same trend, are slightly outside the error bars. This is in accordance with the fact that the results of Ref. (Khakoo et al., 2013) were obtained using the Schwinger multichannel method (Takatsuka and McKoy, 1981), employing extensive basis sets and considering both polarization and dipole-scattering effects. In our DHF framework, of course we also take into account them, and our LS solutions must be stationary points of the Schwinger variational principle. We also notice that at energies $>$ 10 eV, both our and Ref. (Khakoo et al., 2013) results fit better the total cross section trend (green triangles in Figure 2A), than the recommended elastic one (full purple circles (Song et al., 2021)). This point can be understood by noticing that our approach is based on the inclusion in our model of the elastic channel only, while the total cross section contains the contributions of both elastic and inelastic scattering events. However, we have previously demonstrated (see Refs. (Taioli et al., 2010; Taioli and Simonucci, 2015)) that the total probability is not significantly modified by the opening of multiple channels; rather such total transition probability is redistributed among several channels, while keeping constant the total value. Thus, it is not surprising that our ESCS actually follows closely the experimental data. Finally, in Figure 2 we also compare our ab initio calculations with the Elsepa (Salvat et al., 2005) model (cyan points), which is similarly fully relativistic but considers the atomic (rather than the molecular) interaction potential and includes the dipole moment semi-empirically. The discrepancy between our and Elsepa results can be thus attributed to the different treatment of the interaction potential. In order to test the robustness of the elastic scattering cross section calculations by varying the values of a within a reasonable range related to the wavelength of the scattering wavefunction, we carried out the simulations to estimate the statistical error. In the inset of Figure 2 we report the statistical error bars for the different impact kinetic energies by using seven different HGFs basis sets. We notice that this error is overestimated, as the different values were equally weighted across the spectrum.

FIGURE 2

FIGURE 2. Theoretical elastic scattering cross section (continuous multi-colored line) of electrons impinging on a single water molecule with different kinetic energies compared to mixed experimental/theoretical results from Ref. (Khakoo et al., 2013) (full blue squares with error bars), with the recommended elastic (full purple circles) and total (green triangles) cross sections from Ref. (Song et al., 2021). The recommended elastic cross section of Ref. (Song et al., 2021) is based on the results given in Ref. (Gorfinkiel et al., 2002) up to 6 eV and by interpolating the cross sections obtained with different methods (Itikawa and Mason, 2005). The recommended total cross section is obtained at energies between 0.1 and 7 eV via R-matrix calculations (Faure et al., 2004; Zhang et al., 2009), at 7–50 eV is based on experiments from Refs. (Szmytkowski, 1987; Szmytkowski and Mozejko, 2006; Kadokura et al., 2019) and above 50 eV on experimental measurements from Ref. (Muñoz et al., 2007). The cyan points report the results obtained by using the Elsepa code (Salvat et al., 2005). In the inset we show the statistical error bar of the cross section compared to the total cross section recommended by Ref. (Song et al., 2021). Data in the x and y axes are reported in log scale, a is in bohr⁻².

3.2 Water clusters

To show the potential of our method to deal with polycentric systems, we have studied the electron scattering with small clusters of water molecules, which are shown in Figure 3. In particular, in the panels A and B of Figure 3 we report two different clusters made of three molecules, which were obtained by trimming a large cubic cell of liquid water (i.e. density is 1 g/cm³), whose configuration was optimized using Density Functional Theory implemented with a PBE functional (Giannozzi et al., 2017). The two clusters are meant to describe the different environment in which electrons travel inside liquid water, having the dipole moments pointing towards different directions. In Figure 4 we show the ESCS of these two water clusters resulting from our simulations (upper multi-colored points) in comparison to both experimental data (symbols), single water molecule (lower multi-colored line) and Elsepa (cyan points) calculations. Each colour of the points represents a different Gaussian width (see the legend in Figure 4, reporting in bohr⁻² the a coefficients used in different energy ranges). Of course, the ESCSs of the water clusters have been normalized by the number of molecules in the simulation cell. We notice that the ESCS of the two water clusters characterised by different water molecule configurations are similar. However, by comparing our simulations of the single water molecule with water clusters, we find a very good match in the low (E < 1 eV) and high (E > 30 eV) energy range; at odds, we obtain a diverging behaviour in the intermediate regime (1 < E < 30 eV) with ESCS differing by almost 100% at around 3 eV. As the basis set we use is comparable in both size and diffuseness for the three cases investigated, we attribute such a discrepancy in the ESCS at intermediate energy due to multiple scattering and a more accurate representation of the inter- and intra-molecular potential. Indeed, Elsepa simulations of ESCS on cluster one of Figure 3 follow closely the single water molecule behaviour. We stress that experimental measurements are carried out on water vapour in different conditions of relative humidity, while our simulations are carried out using the standard density of liquid water. This finding highlights the importance of an accurate treatment of the interatomic potential for dealing with liquid phases as compared to vapour phase, where molecules are far apart and, thus, more closely resembling the single molecule calculations.

FIGURE 3

FIGURE 3. Water clusters employed in this work as scattering centers. In panels (A) and (B) we report two different configurations of water molecules in the liquid phase. In panel (C) we show the zundel cation minimum configuration as reported in Ref. (Huang et al., 2005).

FIGURE 4

FIGURE 4. ESCS of electrons colliding at different kinetic energies with the two water clusters (3 [H₂O]_1,2, multi-colored points) reported in Figure 3A, B, in comparison to the results for the single water molecule (1 H₂O, multi-colored line). Cyan points report the values computed with the Elsepa code (Salvat et al., 2005) on the water cluster A of Figure 3. The total cross sections of the water clusters have been divided by three, i.e. to normalize them with the number of molecules within the clusters. Data in the x and y axes are reported in log scale, a is in bohr⁻².

3.3 Elastic scattering from the zundel cation

Finally, to show the flexibility of our approach to deal with charged system we calculate the ESCS of electrons impinging on protonated water (zundel cation), in which hydrogen ions bond with water molecules and form loosely bound structures (see panel C) of Figure 3). In particular, in Figure 5 we compare the results for the zundel cation (upper multi-colored empty squares) obtained using our relativistic ab initio method with those of the water clusters (of course all ESCSs have been normalized with respect to the number of water molecules within the systems). Each colour represents a different Gaussian width (see the legend in Figure 5, reporting in bohr⁻² the a coefficients used in different energy ranges). We notice that the presence of different environments dramatically changes the ESCS, particularly in the intermediate to low energy region ($<100$ eV). This again shows up the importance of accurately modelling the intra- and inter-molecular potential, as the different behaviour of the curves in Figure 5 can be attributed to the different environment and multiple scattering effects more than to a deficiency of the HGF basis set. Finally, we also report the Elsepa simulations carried out for the zundel cation configuration (cyan points), even though we stress that within this approach molecular cross section are calculated by means of a single-scattering independent-atom approximation in which the electron density of a bound atom is approximated by that of the free neutral atom.

FIGURE 5

FIGURE 5. ESCS of electrons colliding at different kinetic energies with the zundel cation (multi-colored empty squares) in comparison to the water clusters (3 [H₂O]_1,2, multi-colored points) reported in Figure 3. Cyan points report the values computed with the Elsepa code (Salvat et al., 2005) on the zundel molecule, where the charge of the shared proton is compensated by an extra electron to achieve charge neutrality. The total cross section of the water clusters has been divided by three, i.e. to normalize it with the number of molecules within the clusters, and by two for the zundel cation. Data in the x and y axes are reported in log scale, a is in bohr⁻².

4 Conclusion

In this work we propose a first-principles method to compute elastic scattering cross sections of electrons impinging on polycentric systems, such as water and water aggregates. Our approach does not require approximations, beyond the chosen many-body method (that is systematically improvable), on the channels involved in the process. Indeed, the latter are inherently included in the formalism by solving the LS equations for the scattering wave function. Furthermore, the projection of the potential onto a functional space spanned by HGFs allows one to deal with polycentric systems of increasing complexity and different charge states, and to achieve a computational cost similar to that of bound state calculations.

The modelling of the electron elastic scattering in (polar) molecules is typically carried out by methods either based on the ab initio R-matrix approach (Faure et al., 2004; Gorfinkiel et al., 2005) or by following the Mott theory (Mott, 1929). Our method differs from the latter ones in several respects.

With respect to the Mott theory, in our scheme the scattering potential is not a mere sum of atomic contributions, and thus fully accounts for the polycentric nature of the target system, including dipole moments and multiple scattering arising from the accurate treatment of the inter- and intra-molecular potential. This is at odds with the Mott theory, where the elastic scattering by different atoms belonging to the same molecule is considered independently and the total cross section is obtained as a weighted sum of the atomic cross sections. We have demonstrated that both the inclusion of re-scattering and the accurate calculation of the inter- and intra-molecular potentials are crucial to the assessment of the elastic cross section.

On the other hand, ab initio methods so far used to calculate the ESCS of electrons do not account for relativistic effects and are typically limited to the modelling of a single water molecule. At variance, our scheme clearly shows how the consideration of the liquid phase nature of water emerges as a significant deviation from the single molecule case; moreover, it is fully relativistic, so important effects present in the elastic scattering of unpolarized electrons, such as spin polarization and flip, are taken fully into account. While we recognize that relativistic effects are not of primary importance in water systems, our framework paves the way towards a full understanding and the accurate treatment of the electron scattering also from targets characterised by heavy-nuclei or heavy-element nanoparticles (NPs), such as gold clusters, where the inclusion of relativistic effects is of paramount importance. For example, gold NPs are particularly interesting in hadrontherapy for cancer cure to increase the relative biological effectiveness of ion and electron beams. Moreover, the use of polarized electron beams is becoming increasingly important in quantum information theory, which must deal with the decoherence of qubits from quantum noise to protect information. Only a quantum-relativistic approach to the elastic scattering of electron beams by atoms and molecules makes it possible to determine the polarization degree upon scattering and to deliver an accurate account of experimentally produced polarized ensembles of electrons.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.

Author contributions

Conceptualization, ST, SS, and TM; methodology, ST, SS, FT, and TM; software, SS, TM; validation, SS, FT, and TM; investigation, SS, TM, and FT; resources, ST and SS; writing—original draft preparation, ST, TM, FT; writing—review and editing, ST, SS, FT, and TM; visualization, TM, FT, and SS; supervision, ST, SS; project administration, ST, SS; funding acquisition, ST, SS. All authors have read and agreed to the published version of the manuscript.

Funding

This action has received funding from the European Union under grant agreement no. 101046651.

Acknowledgments

We acknowledge fruitful discussions with Drs. M. Dapor, P. De Vera, and Profs. I. Abril and R. Garcia-Molina.

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.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Altshuler, S. (1957). Theory of low-energy electron scattering by polar molecules. Phys. Rev. 107, 114–117. doi:10.1103/PhysRev.107.114

CrossRef Full Text | Google Scholar

Azzolini, M., Angelucci, M., Cimino, R., Larciprete, R., Pugno, N. M., Taioli, S., et al. (2018a). Secondary electron emission and yield spectra of metals from Monte Carlo simulations and experiments. J. Phys. Condens. Matter 31, 055901. doi:10.1088/1361-648X/aaf363

PubMed Abstract | CrossRef Full Text | Google Scholar

Azzolini, M., Morresi, T., Abrams, K., Masters, R., Stehling, N., Rodenburg, C., et al. (2018b). Anisotropic approach for simulating electron transport in layered materials: Computational and experimental study of highly oriented pyrolitic graphite. J. Phys. Chem. C 122, 10159–10166. doi:10.1021/acs.jpcc.8b02256

CrossRef Full Text | Google Scholar

Azzolini, M., Morresi, T., Garberoglio, G., Calliari, L., Pugno, N. M., Taioli, S., et al. (2017). Monte Carlo simulations of measured electron energy-loss spectra of diamond and graphite: Role of dielectric-response models. Carbon 118, 299–309. doi:10.1016/j.carbon.2017.03.041

CrossRef Full Text | Google Scholar

Azzolini, M., Ridzel, O. Y., Kaplya, P. S., Afanas’ev, V., Pugno, N. M., Taioli, S., et al. (2020). A comparison between Monte Carlo method and the numerical solution of the ambartsumian-chandrasekhar equations to unravel the dielectric response of metals. Comput. Mater. Sci. 173, 109420. doi:10.1016/j.commatsci.2019.109420

CrossRef Full Text | Google Scholar

Colle, R., Embriaco, D., Massini, M., Simonucci, S., and Taioli, S. (2004a). Ab initio calculation of the normal auger spectrum of c2h2. J. Phys. B Atomic, Mol. Opt. Phys. 37, 1237–1244. doi:10.1088/0953-4075/37/6/008

CrossRef Full Text | Google Scholar

Colle, R., Embriaco, D., Massini, M., Simonucci, S., and Taioli, S. (2004b). Auger-electron angular distributions calculated without the two-step approximation: Calculation of angle-resolved resonant auger spectra of c₂h₂. Phys. Rev. A 70, 042708. doi:10.1103/PhysRevA.70.042708

CrossRef Full Text | Google Scholar

Dapor, M. (2020). Transport of energetic electrons in solids computer simulation with applications to materials analysis and characterization springer tracts in modern physics, 271 (Cham: Springer International Publishing), 3. edn.

Google Scholar

de Vera, P., Simonucci, S., Trevisanutto, P. E., Abril, I., Dapor, M., Taioli, S., et al. (2022a). Simulating the nanometric track-structure of carbon ion beams in liquid water at energies relevant for hadrontherapy. J. Phys. Conf. Ser. (IOP) 2326, 012017. doi:10.1088/1742-6596/2326/1/012017

CrossRef Full Text | Google Scholar

de Vera, P., Taioli, S., Trevisanutto, P. E., Dapor, M., Abril, I., Simonucci, S., et al. (2022b). Energy deposition around swift carbon-ion tracks in liquid water. Int. J. Mol. Sci. 23, 6121. doi:10.3390/ijms23116121

PubMed Abstract | CrossRef Full Text | Google Scholar

Fabrikant, I. I. (2016). Long-range effects in electron scattering by polar molecules. J. Phys. B Atomic, Mol. Opt. Phys. 49, 222005. doi:10.1088/0953-4075/49/22/222005

CrossRef Full Text | Google Scholar

Faure, A., Gorfinkiel, J. D., and Tennyson, J. (2004). Low-energy electron collisions with water: Elastic and rotationally inelastic scattering. J. Phys. B Atomic, Mol. Opt. Phys. 37, 801–807. doi:10.1088/0953-4075/37/4/007

CrossRef Full Text | Google Scholar

Fedus, K., and Karwasz, G. P. (2017). Electron scattering on molecules: Search for semi-empirical indications. Eur. Phys. J. D 71, 138. doi:10.1140/epjd/e2017-80065-2

CrossRef Full Text | Google Scholar

Garrett, W. (1972). Low-energy electron scattering by polar molecules. Mol. Phys. 24, 465–487. doi:10.1080/00268977200101621

CrossRef Full Text | Google Scholar

Giannozzi, P., Andreussi, O., Brumme, T., Bunau, O., Nardelli, M. B., Calandra, M., et al. (2017). Advanced capabilities for materials modelling with quantum ESPRESSO. J. Phys. Condens. Matter 29, 465901. doi:10.1088/1361-648x/aa8f79

PubMed Abstract | CrossRef Full Text | Google Scholar

Gianturco, F. A., Meloni, S., Paioletti, P., Lucchese, R. R., and Sanna, N. (1998). Low-energy electron scattering from the water molecule: Angular distributions and rotational excitation. J. Chem. Phys. 108, 4002–4012. doi:10.1063/1.475349

CrossRef Full Text | Google Scholar

Gianturco, F. A., and Scialla, S. (1987). Low-energy electron scattering from water molecules: A study of angular distributions. J. Chem. Phys. 87, 6468–6473. doi:10.1063/1.453428

CrossRef Full Text | Google Scholar

Gorfinkiel, J. D., Morgan, L. A., and Tennyson, J. (2002). Electron impact dissociative excitation of water within the adiabatic nuclei approximation. J. Phys. B Atomic, Mol. Opt. Phys. 35, 543–555. doi:10.1088/0953-4075/35/3/309

CrossRef Full Text | Google Scholar

Gorfinkiel, J., Faure, A., Taioli, S., Piccarreta, C., Halmova, G., and Tennyson, J. (2005). Electron-molecule collisions at low and intermediate energies using the r-matrix method. Eur. Phys. J. D-Atomic, Mol. Opt. Plasma Phys. 35, 231–237. doi:10.1140/epjd/e2005-00179-4

CrossRef Full Text | Google Scholar

Huang, X., Braams, B. J., and Bowman, J. M. (2005). Ab initio potential energy and dipole moment surfaces for h5o2+. J. Chem. Phys. 122, 044308. doi:10.1063/1.1834500

CrossRef Full Text | Google Scholar

Huzinaga, S., and Klobukowski, M. (1993). Well-tempered Gaussian basis sets for the calculation of matrix hartree—Fock wavefunctions. Chem. Phys. Lett. 212, 260–264. doi:10.1016/0009-2614(93)89323-A

CrossRef Full Text | Google Scholar

Itikawa, Y., and Mason, N. (2005). Cross sections for electron collisions with water molecules. J. Phys. Chem. Reference Data 34, 1–22. doi:10.1063/1.1799251

CrossRef Full Text | Google Scholar

Kadokura, R., Loreti, A., Kövér, A., Faure, A., Tennyson, J., and Laricchia, G. (2019). Angle-resolved electron scattering from h₂O near 0°. Phys. Rev. Lett. 123, 033401. doi:10.1103/PhysRevLett.123.033401

PubMed Abstract | CrossRef Full Text | Google Scholar

Khakoo, M. A., Silva, H., Muse, J., Lopes, M. C. A., Winstead, C., and McKoy, V. (2013). Erratum: Electron scattering from h₂o: Elastic scattering. Phys. Rev. A 87, 049902. doi:10.1103/PhysRevA.87.049902

CrossRef Full Text | Google Scholar

Maciel, W. (2013). Astrophysics of the interstellar medium. New York, NY: Springer. doi:10.1007/978-1-4614-3767-3

CrossRef Full Text | Google Scholar

Mascali, D., Santonocito, D., Amaducci, S., Andò, L., Antonuccio, V., Biri, S., et al. (2022). A novel approach to β-decay: Pandora, a new experimental setup for future in-plasma measurements. Universe 8, 80. doi:10.3390/universe8020080

CrossRef Full Text | Google Scholar

Morresi, T., Taioli, S., and Simonucci, S. (2018). Nuclear beta decay: Relativistic theory and ab initio simulations of electroweak decay spectra in medium-heavy nuclei and of atomic and molecular electronic structure (adv. theory simul. 11/2018). Adv. Theory Simulations 1, 1870030. doi:10.1002/adts.201870030

CrossRef Full Text | Google Scholar

Mott, N. (1929). The scattering of fast electrons by atomic nuclei. Proc. R. Soc. Lond. Ser. A 124, 425. doi:10.1098/rspa.1929.0127

CrossRef Full Text | Google Scholar

Muñoz, A., Oller, J. C., Blanco, F., Gorfinkiel, J. D., Limão Vieira, P., and García, G. (2007). Electron-scattering cross sections and stopping powers in h₂O. Phys. Rev. A 76, 052707. doi:10.1103/PhysRevA.76.052707

CrossRef Full Text | Google Scholar

Nikjoo, H., Emfietzoglou, D., Liamsuwan, T., Taleei, R., Liljequist, D., and Uehara, S. (2016). Radiation track, dna damage and response-a review. Rep. Prog. Phys. Phys. Soc. (Great Britain) 79, 116601. doi:10.1088/0034-4885/79/11/116601

PubMed Abstract | CrossRef Full Text | Google Scholar

Palmerini, S., Busso, M., Vescovi, D., Naselli, E., Pidatella, A., Mucciola, R., et al. (2021). Presolar grain isotopic ratios as constraints to nuclear and stellar parameters of asymptotic giant branch star nucleosynthesis. Astrophysical J. 921, 7. doi:10.3847/1538-4357/ac1786

CrossRef Full Text | Google Scholar

Pedrielli, A., de Vera, P., Trevisanutto, P. E., Pugno, N. M., Garcia-Molina, R., Abril, I., et al. (2021). Electronic excitation spectra of cerium oxides: From ab initio dielectric response functions to Monte Carlo electron transport simulations. Phys. Chem. Chem. Phys. 23, 19173–19187. doi:10.1039/D1CP01810H

PubMed Abstract | CrossRef Full Text | Google Scholar

Pedrielli, A., Pugno, N. M., Dapor, M., and Taioli, S. (2022). In search of the ground state crystal structure of ta₂o₅ from ab-initio and Monte Carlo simulations. Comput. Mater. Sci. 216, 111828. doi:10.1016/j.commatsci.2022.111828

CrossRef Full Text | Google Scholar

Pritchard, B. P., Altarawy, D., Didier, B., Gibson, T. D., and Windus, T. L. (2019). New basis set exchange: An open, up-to-date resource for the molecular sciences community. J. Chem. Inf. Model. 59, 4814–4820. doi:10.1021/acs.jcim.9b00725

PubMed Abstract | CrossRef Full Text | Google Scholar

Reiher, M., and Wolf, A. (2014). Relativistic theory of the electron. Hoboken, New Jersey: John Wiley & Sons.

Google Scholar

Salvat, F., Jablonski, A., and Powell, C. J. (2005). elsepa—Dirac partial-wave calculation of elastic scattering of electrons and positrons by atoms, positive ions and molecules. Comput. Phys. Commun. 165, 157–190. doi:10.1016/j.cpc.2004.09.006

CrossRef Full Text | Google Scholar

Signorell, R. (2020). Electron scattering in liquid water and amorphous ice: A striking resemblance. Phys. Rev. Lett. 124, 205501. doi:10.1103/PhysRevLett.124.205501

PubMed Abstract | CrossRef Full Text | Google Scholar

Simonucci, S., Taioli, S., Palmerini, S., and Busso, M. (2013). Theoretical estimates of stellar e-captures. i. the half-life of ⁷be in evolved stars. Astrophysical J. 764, 118. doi:10.1088/0004-637X/764/2/118

CrossRef Full Text | Google Scholar

Song, M.-Y., Cho, H., Karwasz, G. P., Kokoouline, V., Nakamura, Y., Tennyson, J., et al. (2021). Cross sections for electron collisions with h2o. J. Phys. Chem. Reference Data 50, 023103. doi:10.1063/5.0035315

CrossRef Full Text | Google Scholar

Szmytkowski, C. (1987). Absolute total cross sections for electron-water vapour scattering. Chem. Phys. Lett. 136, 363–367. doi:10.1016/0009-2614(87)80267-1

CrossRef Full Text | Google Scholar

Szmytkowski, C., and Mozejko, P. (2006). Electron-scattering total cross sections for triatomic molecules: No2 and h2o. Optica Applicata 36, 543–550.

Google Scholar

Taioli, S., Dapor, M., Dimiccoli, F., Fabi, M., Ferroni, V., Grimani, C., et al. (2022a). The role of low-energy electrons in the charging process of lisa test masses. Classical and Quantum gravity 40, 075001. doi:10.1088/1361-6382/acbadd

CrossRef Full Text | Google Scholar

Taioli, S., Simonucci, S., a Beccara, S., and Garavelli, M. (2015). Tetrapeptide unfolding dynamics followed by core-level spectroscopy: A first-principles approach. Phys. Chem. Chem. Phys. 17, 11269–11276. doi:10.1039/C4CP05902F

PubMed Abstract | CrossRef Full Text | Google Scholar

Taioli, S., and Simonucci, S. (2015). A computational perspective on multichannel scattering theory with applications to physical and nuclear chemistry. Annu. Rep. Comput. Chem. 11, 191–310. doi:10.1016/bs.arcc.2015.09.005

CrossRef Full Text | Google Scholar

Taioli, S., Simonucci, S., Calliari, L., and Dapor, M. (2010). Electron spectroscopies and inelastic processes in nanoclusters and solids: Theory and experiment. Phys. Rep. 493, 237–319. doi:10.1016/j.physrep.2010.04.003

CrossRef Full Text | Google Scholar

Taioli, S., Simonucci, S., Calliari, L., Filippi, M., and Dapor, M. (2009). Mixed ab initio quantum mechanical and Monte Carlo calculations of secondary emission from sio₂ nanoclusters. Phys. Rev. B 79, 085432. doi:10.1103/PhysRevB.79.085432

CrossRef Full Text | Google Scholar

Taioli, S., and Simonucci, S. (2021a). Chapter three - relativistic quantum theory and algorithms: A toolbox for modeling many-fermion systems in different scenarios. Annu. Rep. Comput. Chem. 17, 55. doi:10.1016/bs.arcc.2021.08.003

CrossRef Full Text | Google Scholar

Taioli, S., and Simonucci, S. (2021b). The resonant and normal auger spectra of ozone. Symmetry 13, 516. doi:10.3390/sym13030516

CrossRef Full Text | Google Scholar

Taioli, S., and Tennyson, J. (2006b). A wave packet method for treating nuclear dynamics on complex potentials. J. Phys. B Atomic, Mol. Opt. Phys. 39, 4379–4392. doi:10.1088/0953-4075/39/21/004

CrossRef Full Text | Google Scholar

Taioli, S., and Tennyson, J. (2006a). Waterwaves: Wave particles dynamics on a complex triatomic potential. Comput. Phys. Commun. 175, 41–51. doi:10.1016/j.cpc.2006.01.008

CrossRef Full Text | Google Scholar

Taioli, S., Trevisanutto, P. E., de Vera, P., Simonucci, S., Abril, I., Garcia-Molina, R., et al. (2020). Relative role of physical mechanisms on complex biodamage induced by carbon irradiation. J. Phys. Chem. Lett. 12, 487–493. doi:10.1021/acs.jpclett.0c03250

PubMed Abstract | CrossRef Full Text | Google Scholar

Taioli, S., Vescovi, D., Busso, M., Palmerini, S., Cristallo, S., Mengoni, A., et al. (2022b). Theoretical estimate of the half-life for the radioactive ¹³⁴cs and ¹³⁵cs in astrophysical scenarios. Astrophysical J. 933, 158. doi:10.3847/1538-4357/ac74b3

CrossRef Full Text | Google Scholar

Takatsuka, K., and McKoy, V. (1981). Extension of the schwinger variational principle beyond the static-exchange approximation. Phys. Rev. A 24, 2473–2480. doi:10.1103/PhysRevA.24.2473

CrossRef Full Text | Google Scholar

Tennyson, J. (2010). Electron–molecule collision calculations using the r-matrix method. Phys. Rep. 491, 29–76. doi:10.1016/j.physrep.2010.02.001

CrossRef Full Text | Google Scholar

Vescovi, D., Piersanti, L., Cristallo, S., Busso, M., Vissani, F., Palmerini, S., et al. (2019). Effects of a revised ⁷be e-capture rate on solar neutrino fluxes. Astronomy Astrophysics 623, A126. doi:10.1051/0004-6361/201834993

CrossRef Full Text | Google Scholar

Zhang, R., Faure, A., and Tennyson, J. (2009). Electron and positron collisions with polar molecules: Studies with the benchmark water molecule. Phys. Scr. 80, 015301. doi:10.1088/0031-8949/80/01/015301

CrossRef Full Text | Google Scholar