2018
DOI: 10.1103/physrevmaterials.2.115602
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Information-driven inverse approach to disordered solids: Applications to amorphous silicon

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Cited by 10 publications
(10 citation statements)
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“…The simulated values of S(Q ) in Figure 1 can be seen to agree well with the corresponding experimental data reported in Laaziri et al [31] Likewise, the full width at half-maximum (FWHM) of the BD in Figure 2, %21.4 , matches with the observed value of 18-24 obtained from the Raman "optic peak'' measurements. [41] The FWHM of the BD for the WWW models is also found to be consistent with those obtained from high-quality molecular dynamics simulations, [42,43] and data-driven information-based approaches, [40,44] developed in recent years. A further characterization of the models is possible by examining the statistics of the CN of Si atoms, the dihedral-angle distribution, and the presence of various irreducible rings in the amorphous structures.…”
Section: Resultssupporting
confidence: 77%
“…The simulated values of S(Q ) in Figure 1 can be seen to agree well with the corresponding experimental data reported in Laaziri et al [31] Likewise, the full width at half-maximum (FWHM) of the BD in Figure 2, %21.4 , matches with the observed value of 18-24 obtained from the Raman "optic peak'' measurements. [41] The FWHM of the BD for the WWW models is also found to be consistent with those obtained from high-quality molecular dynamics simulations, [42,43] and data-driven information-based approaches, [40,44] developed in recent years. A further characterization of the models is possible by examining the statistics of the CN of Si atoms, the dihedral-angle distribution, and the presence of various irreducible rings in the amorphous structures.…”
Section: Resultssupporting
confidence: 77%
“…In this paper, we have studied the structural, electronic, vibrational and thermodynamic properties of amorphous silicon obtained from using an information-driven inverse approach developed in Ref. 17, which simultaneously uses experimental structure factor and a few structural constraints along with a classical total-energy functional. By introducing a subspace optimization scheme, it was shown that structural constraints can be readily incorporated to produce high-quality model configurations of a-Si, which are otherwise very difficult to achieve using the conventional RMC and hybrid RMC schemes.…”
Section: Discussionmentioning
confidence: 99%
“…A detailed description of the method can be found in Ref. 17. Here, we primarily discussed the characteristic features of the resulting models with particular emphasis on the structural, topological, vibrational and thermodynamic properties of the models.…”
Section: Methodsmentioning
confidence: 99%
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