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Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid Silicon
Machine Learning Potentials, Gaussian approximation potential (GAP), amorphous silicon.
Noam Bernstein, Bishal Bhattarai, Gabor Csanyi, David A. Drabold, Stephen R. Elliott, Volker L. Deringer
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Evolution of amorphous carbon across densities: An inferential study
Large and realistic models of amorphous carbon, Force Enhanced Atomic Refinement (FEAR) method, Reverse Monte-Carlo (RMC), Density Functional Theory (DFT).
Bishal Bhattarai, Anup Pandey, David A. Drabold
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Amorphous carbon at low densities: An ab initio study
low density-amorphous carbon, phonons
Bishal Bhattarai, David A. Drabold
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Vibrations in amorphous silica
amorphous silica, vibrational density of states, decorate and relax model
Bishal Bhattarai, David A. Drabold
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