short communications
Doping site identification in 112 iron pnictides through a first-principles core-electron spectroscopic study
aHuman Resources Development Section, Raja Ramanna Centre for Advanced Technology, Indore 452013, India, and bHomi Bhabha National Institute, Anushakti Nagar, Mumbai 400094, India
*Correspondence e-mail: hng@rrcat.gov.in
Density functional theory based first-principles core-electron spectroscopic studies on iron-based superconducting 112 materials are presented. The existence of an extra As zigzag chain structure along with Fe–As planes in 112 materials is emphasised. Doping on an As site belonging to a chain by Sb is found to enhance the K-edge absorption spectra of two different types of As atoms for Ca0.85La0.15FeAs2 show a distinctly different nature. The sensitivities of As K-edge absorption spectra in the presence and absence of the `core-hole effect' are presented for future possible identification of the same experimentally. In both cases absorption spectra contain several features, the origins of which are thoroughly described in terms of site projected results.
temperature. This is also shown from calculations with enhanced when doped on chain-As. Therefore, As site identification in 112 is crucial. Theoretically computed AsKeywords: Fe-based 112 superconducting materials; core-electron spectroscopy; core-hole effect; electronic structure calculations.
1. Introduction
Core-electron spectroscopic techniques like X-ray absorption near-edge structure (XANES), electron energy-loss near-edge structure (ELNES), extended X-ray absorption fine structure (EXAFS) and their variants have endless applications in modern materials as well as various branches of science. These include energy materials (Singh et al., 2018; Guo et al., 2005), nuclear materials (Kosog et al., 2012), medical science (Sarangi, 2018) and superconductors (Mizuguchi et al., 2017) to mention a few. In core-electron spectroscopy, when the incident X-ray photon has an energy equal to or greater than the binding energy of a core-level electron (K = 1s; LI = 2s; LII/LIII = 2p1/2/2p3/2 etc.), the X-ray photon is absorbed leading to ejection of the core-electron. This creates an with an empty electronic level (core-hole) and the ejected photoelectron which carries excess energy being transited to the unoccupied conduction states, causing a sharp increase in absorption at a specific photon energy known as the X-ray absorption fine structure (XAFS) carries the fingerprint of the modulation of an atom's photon at energies near and above the due to its physical and chemical state. and have two absorption regions, XANES and depending on the energy dependence of near and above the These two types of fine-structure features provide a wealth of information about an element's local structural environment and electronic state. For example, XAFS/XANES features that have a complicated origin carry information about: (i) the local atomic probe (short-range order), (ii) the composition/coordination and (iii) the chemical/oxidation state; all the above apply to any element or phase (gas, liquid, crystalline, amorphous, etc.). XANES may consist of three subregions, namely `pre-edge', `edge' and `near-edge', that are extremely sensitive to the chemistry of the absorbing atom, e.g. formal coordination environment and especially to the angular momentum of the unoccupied electronic states. A complete understanding of the physical/chemical processes and their computation, interpretation as well as application are subjects of current active research.
These specialties of the core-electron spectroscopic techniques mentioned above are traditionally used in various branches of condensed matter physics, including strongly correlated high-critical-temperature (Tc) superconductors (Bianconi et al., 2017; Ivanov et al., 2018) and recently discovered Fe-based high-temperature superconductors (Paris et al., 2016). High-temperature superconductivity in Fe-based superconductors (IBSCs), discovered in 2008 (Kamihara et al., 2008), remains as one of the greatest mysteries, e.g. `Fe', usually known as a ferromagnetic element, plays a dominant role in high-Tc superconductivity. There exists a large number of families of Fe-based superconductors, all of them having the basic common feature of Fe-pnictogen/Fe-chalcogen layers. Apart from Fe-pnictogen (As) layers there exists an As zigzag chain between the Fe–As layers in one of the recently discovered IBSCs, namely the 112-family, discovered in 2013 with a superconducting Tc of 34 K (Katayama et al., 2013). The blocking layers between the Fe–As layers are composed of Ca(La) spacer atoms as well as an As zigzag chain and, unlike other IBSCs, the Ca–As blocking layer is metallic and couples strongly with the FeAs layers (Wu et al., 2014). A two-dimensional spin resonance mode at around E ≃ 11 meV was confirmed through inelastic neutron scattering measurements, where the resonance energy was found to be almost temperature independent and linearly scales with Tc signifying the possibility of sign-reversed () quasiparticle excitations between different Fermi surfaces in these multiband systems (Xie et al., 2018). This was supported by theoretical electronic structure calculations which suggested that the energy and momentum distribution of the spin resonance does not directly respond to the kz dependence of the fermiology (Xie et al., 2018). More recently a systematic detailed electronic structure calculation of 112 materials has been presented (Ghosh et al., 2019; Liu et al., 2015; Huang et al., 2015; Caglieris et al., 2016). 112 materials are thought to be candidates for realizing topological superconductivity (Liu et al., 2016). One of the important findings from the above studies is that a Lifshitz-like topological transition is shown to accompany orbital selective bandwidth modifications (Ghosh & Ghosh, 2019). Furthermore, one of the significant aspects is that the superconducting Tc can be raised up to 47 K, the highest value achievable in the 112 family, by Sb doping at the `chain' As-site (Nagai et al., 2015). Density functional theory (DFT) based studies predicted that Sb doping at the As-chain is more favourable than doping at the FeAs layer (Kudo et al., 2014), which also subsequently received a favourable response from experimental studies (Ota et al., 2017). Thus, As doping site identification (chain or plane) is extremely important as far as raising the Tc is concerned. This may also apply to other Fe-based superconductors having As-chain structure apart from plane (Kudo et al., 2013). We argue and show that this can be achieved through site-element-specific XANES/ELNES studies. 112 materials have monoclinic (space group P21, P21/m) with a zigzag chain of monovalent As atoms between alternate Ca–As space layers and trivalent As atoms in Fe–As plane layers. The presence of an arsenic zigzag chain is one of the most notable features in this family of IBSCs. This difference in As of As atoms as well as its local environment in chain/plane gives rise to different absorption edges as well as different XANES/ELNES spectra. We note that no experimental or theoretical studies on XANES studies of 112 is available so far and thus we present the same for the As K-edge of Ca0.85La0.15FeAs2 from plane and chain separately using first principles. Our results distinctly show the sensitivity of absorption edges depending on whether the As atom belongs to chain or plane. These results thus are likely to provide a useful guide to future experimental studies.
2. Theory and computational methodology
Essentially, the ELNES/XANES is nothing but the ). The physical background behind the calculation of ELNES in DFT-based numerical code CASTEP was reported earlier (Gao et al., 2004, 2008, 2009; Pickard et al., 1995; Pickard & Payne, 1997; Clark et al., 2005; Jayawardane et al., 2001; Sinha et al., 2018) following several important steps. Firstly, for a K-edge, the dipole selection rule implies p-orbital partial DOS must be considered. The second relevant step is the accurate calculation of transition matrix elements between the initial and final states within the dipole approximation. The dipole approximation would apply to ELNES, for most transmission electron energy-loss spectroscopy experiments, especially when a small axial collection aperture is used. For XANES, a similar argument holds when the used incident wavelength of the X-ray is much larger compared with the size of the core orbital, the 1s core, in our case for the As K-edge. The (1s) core state , being extremely localized, can be obtained from an all-electron atomic calculation. Calculation of unoccupied final state involves the projector augmented wave (PAW) approach; an all-electron wavefunction can be recovered from the corresponding pseudo-wavefunction via a linear transformation (Blöchl, 1994) and matrix elements are suitably modified by some factor of projection operator (see below) for a given transition between an initial and final state. This approach also separates the plane wave model DOS into partial DOS results for each class of orbitals, for example p or d etc. While the initial state wavefunction can be calculated from an all-electron approach, based on atomic-like states, the `excited' final state is ansatzed as a pseudo wavefunction in the PAW approach (Gao et al., 2008),
(DOS) following modifications due to matrix elements between the correct initial and final states, a full discussion of which has been given by Egerton (1996where ϕi and are all-electron and pseudopartial waves, respectively, and α = x, y, z. can be evaluated once in real space for each pseudopotential used. is the PAW projector function, that we described above as the `projection' factor, localized within the augmentation region, and obeys the relation = 1.
The intensity of ELNES spectra under the electric dipole approximation for transition from core states to the group of final states is given as (Gao et al., 2004, 2009)
where E is measured with respect to the core level energy Ec, and the energy-conserving δ-function is replaced by Lorentzian function γ(E − En, k). One needs to generate a core-excited pseudopotential for one of the atoms where the core-hole is localized. However, the geometry for the core-excited sample is not relaxed, since the ionic is expected to be larger than the electronic excitation. Thus, while the ionic and cell coordinates are updated with relaxed geometry for the non-excited atom, the test atom is replaced with a core-excited pseudopotential.
DFT-based first-principles calculations of ELNES and partial Cambridge Serial Total Energy Package (CASTEP) within the generalized gradient approximation (GGA) using the Perdew–Burke–Enzerhof (PBE) functional (Perdew et al., 1996). The Broyden–Fletcher–Goldfrab–Shanno (BFGS) geometry optimization scheme has been used (Broyden, 1970; Fletcher, 1970; Goldfarb, 1970; Shanno, 1970). All atoms were fully relaxed until the magnitude of the force on each atom converged to less than 0.01 eV Å−1 and the energy change per atom converged to less than 5 × 10−7 eV atom−1, yielding optimized structures using the virtual crystal approximation (Bellaiche & Vanderbilt, 2000; Sen & Ghosh, 2016). Electronic energy-loss spectra are calculated using experimental (Katayama et al., 2013) for monoclinic phase and symmetry P21. We use on-the-fly generated ultrasoft pseudo-potentials (Segall et al., 2002), a plane-wave basis set with energy cutoff 500 eV, (BZ) sampling in the k-space within the Monkhorst–Pack scheme (Monkhorst & Pack, 1976; Pack & Monkhorst, 1977) and grid size for self-consistent field calculation 13 × 13 × 10. Here we perform our calculations using a 2 × 2 × 1 these are large enough that the core-holes in neighbouring cells do not interact with each other.
(PDOS) are performed using the3. Result and discussion
In Fig. 1 we have presented atom and angular momentum projected PDOS of As in the case of three different samples: (i) Ca0.85La0.15FeAs2, and a further 10% Sb doping at two different As sites, at the (ii) As-chain and (iii) Fe–As plane. The PDOS of As atoms belonging to the As-chain presented by the solid green line is significantly larger than that of Sb doping at the Fe–As plane presented in blue. The larger the DOS at the the larger will be the available electronic states for pairing in the superconducting states. This may be the reason for the larger observed Tc when Sb is doped in the chain As atom. This result indicates that the As zigzag chain structure, which is a unique characteristics of 112 IBSCs, may play a crucial role in increasing the of 112 materials. Therefore, identification of the doping As site, whether in chain or plane, is essential. Below we show that this may be experimentally achieved either through ELNES or XANES study.
Theoretically computed As K-edge absorption spectra for IBSC material Ca0.85La0.15FeAs2 are presented in Fig. 2, with [Fig. 2(ii)] and without [Fig. 2(i)] the core-hole effect being considered. In the case of As-plane K-edge absorption spectra, there are five distinct features indicated by A, B, C, D and E whereas the As-chain absorption spectra have four features A, B, F and G. The two spectra are distinctly different; this includes the `pre-edge' region around A, the `edge' region below B, as well as the ELNES/XANES region which is defined as higher in energy than B. Feature A is also reported in the case of other IBSCs (Cheng et al., 2010, 2012). The difference in the `pre-edge' for chain/plane As atoms reflects the difference in mixing of Fe and As states. The ionization edge for the As atom from the chain (blue dashed) and plane (solid red) occurs at different absorption energies. This observation is directly related to the of As atoms, −3 for plane atoms and −1 for chain As atoms. Therefore in experimental XANES/ELNES studies a single As K-edge, corresponding to an in between −1 and −3, is expected. The difference in the ELNES/XANES region reflects different atomic environments of the As chain and plane atoms. Lower- and higher-energy absorption regions are dominated by As chain and plane spectra, respectively.
The ionization edge for As (in the plane) occurs at higher energy compared with that of As-chain, indicating that the binding energies of As atoms at Fe2–As2 layers are greater than that of As atoms in the zigzag chain. Inclusion of the core-hole in the 1s state of the As atom from the plane caused pronounced features A and B with respect to that of no core-hole spectra. Features C and D are slightly blue-shifted in the presence of the core-hole. Feature E at a relatively higher energy does not exhibit core-hole effects. In the case of the chain As atom, feature A enhances significantly due to inclusion of the core-hole. Feature B is also slightly blue-shifted. Features F and G becomes pronounced and wider with inclusion of the core-hole. When a core-state electron is removed (a `core-hole' being created), the electrostatic attraction on the remaining electrons from the nucleus is higher. This redistributes the electronic states closer to the Similarly, this greater electrostatic force contracts electronic states pulling closer together, thus increasing the intensity of the edge close to the Comparison of absorption spectra in the presence and absence of the core-hole effect is extremely important in our case. It is to be noted that the 112 materials are metals; there are a number of important works on metals that show that the ground-state calculations are in better agreement with experiment (Muller, 2009; Rez, 2006; Rez & Muller, 2008; Ross et al., 2010). If the core-hole relaxes extremely fast, and so too the ensuing modification in the local DOS, in such a short time scale (compared with the time scale of transition of core-electron to conduction state) the changes will not be observable experimentally. While it is believed that Fe-based materials are correlated metals, relatively diffuse electrons will mean the core-hole is well screened, lessening its impact; experimentally determined spectra will determine whether core-holes are screened or not. In the case of the core-hole effect being substantial, the experimental edge is expected to be in between the dashed blue and solid red lines of Fig. 2(ii); depending on core-hole life time, experimental broadening etc., the two features B and C in Fig. 2(ii) may be broadened to a single feature. We thus believe that our result will play a significant role in experimentally identifying As-doping sites in 112 materials.
The origins of these special features are further explained in terms of site and angular momentum projected and 4 such efforts are presented in which the origins of various absorption peaks due to the type of dipole transition are self-explanatory. Vertical lines are used to locate the peak position of a particular peak of ELNES (top row) as well as that in the PDOS. Fig. 3(i) shows five distinct features A, B, C, D and E of K-edge absorption spectra including a core-hole in the As 1s state. The ground-state of the As atom is [Ar]4s23d104p3 and a dipole-allowed transition can occur from the core 1s state to any of the empty p states of As, as well as that of Ca, La and Fe. Feature A can be well described by transition to the As p state [see Fig. 3(ii)]; but the transition is weakened as As p states have a reasonable overlap with the d states of Fe and La [see Fig. 3(v)–3(vi)]. Feature B is well described by transition to the p states of both chain and plane As as well as that from La and Fe. A sizable amount of mixing with d states of Fe and La, Ca prohibits this absorption to be most intense compared with the C peak. Feature C has the highest peak height, described dominantly by transition to the p states of Ca–La and Fe [see the insets in Figs. 3(v)–3(vi)]. Features D and E occur in the relatively higher energy regions and are results of transitions to the p states of La (Ca) and Fe. They are weakened due to possible mixing of d and p states of Fe/Ca/La [see the inset window Fig. 3(v)]. Since the As-chains do not contain any Fe and have weaker bonding with La/Ca, the most intense peak C, as well as D and E, are completely absent in the chain As-K absorption spectra (see Fig. 4). The origin of the F and G features in Fig. 4 is also a result of transitions to the p states of La (Ca) and Fe, strongly damped by mixed d and p states of Fe/Ca/La [see window Fig. 4(v)]. This is essentially the origin of the differences in the As-K absorption spectra. Comparing our theoretical spectra with possible experimental measurements, the zero energy in Figs. 2, 3(i) and 4(i) should be taken as the experimental As-K edge = 11871 eV [see equation (2)] and the spectra should be a linear superposition of the same from both As chain and plane atoms.
In Figs. 3In the absence of any available experimental XANES data on 112 IBSCs it would be instructive to apply the theoretical methodology presented in this work to the other IBSC materials on which experimental as well as other theoretical calculations are already available. One such work, on FeTe1–xSex, was published by Mulato-Gómez et al. (2014). In Fig. 5(a) we present Fe K-edge absorption spectra of FeSe, using DFT-based theoretical calculation as described above in the presence and absence of a `core-hole'. Excellent agreement between the absorption spectra in Fig. 5(a) with that of experimental data [Fig. 1(a) of Mulato-Gómez et al. (2014)] is worth noting. The experimental data were earlier compared with calculation using a different theoretical approach to ours, i.e. real-space multiple-scattering formalism using clusters of radius 6 Å (Mulato-Gómez et al., 2014). It is worth mentioning that both the theoretical methods reproduce the experimental data; while our method uses periodic bulk systems, the multiple-scattering calculation considers finite clusters. In Fig. 5(b) the size independence of the absorption spectra ensures that there is no effect of `core-hole–core-hole interaction. We have also extended a comparison of our method for other IBSC materials for which experimental data are available (Cheng et al., 2010, 2012; Joseph et al., 2010).
4. Conclusions
We have presented density functional theory based core-electron spectroscopic studies on iron-based superconducting 112 material. We emphasize the importance of identifying As-doping cites. Sb doping at the chain As-site enhances respective partial DOS which may be related to enhancing superconducting Tc. Theoretically computed As K-edge absorption spectra for Ca0.85La0.15FeAs2 for two different kinds of As atoms, from the plane as well as from the chain, show remarkably different absorption edges as well as the spectra in general. The As (chain/plane) K-edge absorption spectra in the presence and absence of the `core-hole effect' are presented for future possible identification of the same experimentally. In both cases the absorption spectra contain several features, the origin of which are thoroughly described using site projected results. The theoretical methods used in this work are also shown to agree with observed core-electron spectroscopic data for other IBSC materials as well as multiple-scattering methods. We believe this work will attract further research in this field.
Footnotes
‡These authors contributed equally to this work.
Acknowledgements
We thank Dr P. A. Naik, Dr A. K. Sinha for support and discussions. Support of RRCAT scientific computer centre is acknowledged. SG also acknowledges the HBNI, RRCAT for financial support and encouragements.
References
Bellaiche, L. & Vanderbilt, D. (2000). Phys. Rev. B, 61, 7877–7882. Web of Science CrossRef CAS Google Scholar
Bianconi, A., Menushenkov, A. P., Ivanov, V. G., Ivanov, A. A. & Joseph, B. (2017). J. Phys. Conf. Ser. 941, 012058. CrossRef Google Scholar
Blöchl, P. E. (1994). Phys. Rev. B, 50, 17953–17979. CrossRef Web of Science Google Scholar
Broyden, C. G. (1970). J. Appl. Math. 6, 76. Google Scholar
Caglieris, F., Sala, A., Fujioka, M., Humme, F., Pallecchi, I., Lamura, G., Johrendt, D., Takano, Y., Ishida, S., Iyo, A., Eisaki, H., Ogino, H., Yakita, H., Shimoyama, J. & Putti, M. (2016). APL Mater. 4, 020702. Google Scholar
Cheng, J., Chu, W. S., Wu, G., Zhao, H. F., Xu, W., Zhou, J., Zhang, L. J., Chen, X. H. & Wu, Z. Y. (2010). J. Synchrotron Rad. 17, 730–736. Web of Science CrossRef CAS IUCr Journals Google Scholar
Cheng, J., Zhou, J., Hu, R., Xu, W., Li, Y., Zhang, L., Marcelli, A., Chu, W., Xu, Z. & Wu, Z. (2012). New J. Phys. 14, 033005. Web of Science CrossRef Google Scholar
Clark, S. J., Segall, M. D., Pickard, C. J., Hasnip, P. J., Probert, M. J., Refson, K. & Payne, M. C. (2005). Z. Kristallogr. 200, 567. Google Scholar
Egerton, R. F. (1996). Electron Energy-Loss Spectroscopy in the Electron Microscope, 2nd ed. New York: Plenum Press. Google Scholar
Fletcher, R. (1970). Comput. J. 13, 317–322. CrossRef Web of Science Google Scholar
Gao, S. P., Pickard, C. J., Payne, M. C., Zhu, J. & Yuan, J. (2008). Phys. Rev. B, 77, 115122. Web of Science CrossRef Google Scholar
Gao, S. P., Pickard, C. J., Perlov, A. & Milman, V. (2009). J. Phys. Condens. Matter, 21, 104203. Web of Science CrossRef PubMed Google Scholar
Gao, S. P., Zhang, A., Zhu, J. & Yuan, J. (2004). Appl. Phys. Lett. 84, 2784–2786. Web of Science CrossRef CAS Google Scholar
Ghosh, A. & Ghosh, H. (2019). Comput. Mater. Sci. 160, 62–71. Web of Science CrossRef CAS Google Scholar
Ghosh, A., Ghosh, H. & Sen, S. (2019). Intermetallics, 107, 126–136. Web of Science CrossRef CAS Google Scholar
Goldfarb, D. (1970). Math. C. 24, 23. CrossRef Google Scholar
Guo, Q., Ding, J., Tanaka, T., Nishio, M. & Ogawa, H. (2005). Appl. Phys. Lett. 86, 111911. Web of Science CrossRef Google Scholar
Huang, Y.-N., Yu, X.-L., Liu, D.-Y. & Zou, L.-J. (2015). J. Appl. Phys. 117, 17E113. Web of Science CrossRef Google Scholar
Ivanov, A. A., Ivanov, V. G., Menushenkov, A. P., Wilhelm, F., Rogalev, A., Puri, A., Joseph, B., Xu, W., Marcelli, A. & Bianconi, A. (2018). J. Supercond. Nov. Magn. 31, 663–670. Web of Science CrossRef CAS Google Scholar
Jayawardane, D. N., Pickard, C. J., Brown, L. M. & Payne, M. C. (2001). Phys. Rev. B, 64, 115107. Web of Science CrossRef Google Scholar
Joseph, B., Iadecola, A., Simonelli, L., Mizuguchi, Y., Takano, Y., Mizokawa, T. & Saini, N. L. (2010). J. Phys. Condens. Matter, 22, 485702. Web of Science CrossRef PubMed Google Scholar
Kamihara, Y., Watanabe, T., Hirano, M. & Hosono, H. (2008). J. Am. Chem. Soc. 130, 3296–3297. Web of Science CrossRef ICSD PubMed CAS Google Scholar
Katayama, N., Kudo, K., Onari, S., Mizukami, T., Sugawara, K., Sugiyama, Y., Kitahama, Y., Iba, K., Fujimura, K., Nishimoto, N., Nohara, M. & Sawa, H. (2013). J. Phys. Soc. Jpn, 82, 123702. Web of Science CrossRef ICSD Google Scholar
Kosog, B., La Pierre, H. S., Denecke, M. A., Heinemann, F. W. & Meyer, K. (2012). Inorg. Chem. 51, 7940–7944. Web of Science CrossRef CAS PubMed Google Scholar
Kudo, K., Kitahama, Y., Fujimura, K., Mizukami, T., Ota, H. & Nohara, M. (2014). J. Phys. Soc. Jpn, 83, 093705. Web of Science CrossRef Google Scholar
Kudo, K., Mitsuoka, D., Takasuga, M., Sugiyama, Y., Sugawara, K., Katayama, N., Sawa, H., Kubo, H. S., Takamori, K., Ichioka, M., Fujii, T., Mizokawa, T. & Nohara, M. (2013). Sci. Rep. 3, 3101. Web of Science CrossRef PubMed Google Scholar
Liu, Z.-H., Kim, T. K., Sala, A., Ogino, H., Shimoyama, J., Büchner, B. & Borisenko, S. V. (2015). Appl. Phys. Lett. 106, 052602. Web of Science CrossRef Google Scholar
Liu, Z. T., Xing, X. Z., Li, M. Y., Zhou, W., Sun, Y., Fan, C. C., Yang, H. F., Liu, J. S., Yao, Q., Li, W., Shi, Z. X., Shen, D. W. & Wang, Z. (2016). Appl. Phys. Lett. 109, 042602. Web of Science CrossRef Google Scholar
Mizuguchi, Y., Paris, E., Wakita, T., Jinno, G., Puri, A., Terashima, K., Joseph, B., Miura, O., Yokoya, T. & Saini, N. L. (2017). Phys. Rev. B, 95, 064515. Web of Science CrossRef Google Scholar
Monkhorst, H. & Pack, J. D. (1976). Phys. Rev. B, 13, 5188–5192. CrossRef Web of Science Google Scholar
Mulato-Gómez, D. F., Mustre de León, J. & Saini, N. L. (2014). J. Supercond. Nov. Magn. 27, 1035–1040. Google Scholar
Muller, D. A. (2009). Nat. Mater. 8, 263–270. Web of Science CrossRef PubMed CAS Google Scholar
Nagai, Y., Nakamura, H., Machida, M. & Kuroki, K. (2015). J. Phys. Soc. Jpn, 84, 093702. Web of Science CrossRef Google Scholar
Ota, H., Kudo, K., Kimura, T., Kitahama, Y., Mizukami, T., Ioka, S. & Nohara, M. (2017). J. Phys. Soc. Jpn, 86, 025002. Web of Science CrossRef Google Scholar
Pack, J. & Monkhorst, H. J. (1977). Phys. Rev. B, 16, 1748–1749. CrossRef Web of Science Google Scholar
Paris, E., Simonelli, L., Wakita, T., Marini, C., Lee, J. -H., Olszewski, W., Terashima, K., Kakuto, T., Nishimoto, N., Kimura, T., Kudo, K., Kambe, T., Nohara, M., Yokoya, T. & Saini, N. L. (2016). Sci. Rep. 6, 27646. Web of Science CrossRef PubMed Google Scholar
Perdew, J. P., Burke, K. & Ernzerhof, M. (1996). Phys. Rev. Lett. 77, 3865–3868. CrossRef PubMed CAS Web of Science Google Scholar
Pickard, C. J. & Payne, M. C. (1997). Electron. Microsc. Anal. 153, 179. Google Scholar
Pickard, C. J., Payne, M. C., Brown, L. M. & Gibbs, M. N. (1995). Electron. Microsc. Anal. 147, 211. Google Scholar
Rez, P. (2006). Microsc. Microanal. 12(Suppl.2), 108. Google Scholar
Rez, P. & Muller, D. A. (2008). Annu. Rev. Mater. Res. 38, 535–558. Web of Science CrossRef CAS Google Scholar
Ross, I. M., Rainforth, W. M., Seabourne, C. R., Scott, A. J., Wang, P., Mendis, B. G., Bleloch, A. L., Reinhard, C. & Hovsepian, P. E. (2010). Thin Solid Films, 518, 5121–5127. Web of Science CrossRef CAS Google Scholar
Sarangi, R. (2018). J. Synchrotron Rad. 25, 944–952. Web of Science CrossRef CAS IUCr Journals Google Scholar
Segall, M. D., Lindan, P. J. D., Probert, M. J., Pickard, C. J., Hasnip, P. J., Clark, S. J. & Payne, M. C. (2002). J. Phys. Condens. Matter, 14, 2717–2744. Web of Science CrossRef CAS Google Scholar
Sen, S. & Ghosh, H. (2016). Eur. Phys. J. B, 89, 277. Web of Science CrossRef Google Scholar
Shanno, D. F. (1970). Math. C. 24, 647. CrossRef Google Scholar
Singh, H., Topsakal, M., Attenkofer, K., Wolf, T., Leskes, M., Duan, Y., Wang, F., Vinson, J., Lu, D. & Frenkel, A. I. (2018). Phys. Rev. Mater. 2, 125403. Web of Science CrossRef Google Scholar
Sinha, M., Modi, M. H., Ghosh, H., Yadav, P. K. & Gupta, R. K. (2018). J. Synchrotron Rad. 25, 771–776. Web of Science CrossRef CAS IUCr Journals Google Scholar
Wu, X., Le, C., Liang, Y., Qin, S., Fan, H. & Hu, J. (2014). Phys. Rev. B, 89, 205102. Web of Science CrossRef Google Scholar
Xie, T., Gong, D., Ghosh, H., Ghosh, A., Soda, M., Masuda, T., Itoh, S., Bourdarot, F., Regnault, L. P., Danilkin, S., Li, S. & Luo, H. (2018). Phys. Rev. Lett. 120, 137001. Web of Science CrossRef PubMed Google Scholar
© International Union of Crystallography. Prior permission is not required to reproduce short quotations, tables and figures from this article, provided the original authors and source are cited. For more information, click here.