23 citations · 27 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2024★ 4 cited
Guest Editorial: Special Topic on Software for Atomistic Machine Learning
Matthias Rupp, Emine Küçükbenli, Gábor Csányi
A survey of the contributions to the Journal of Chemical Physics' Special Topic on Software for Atomistic Machine Learning.
cond-mat.mtrl-sci2021
A Gaussian Approximation Potential for Amorphous Si:H
Davis Unruh, Reza Vatan Meidanshahi, Stephen M. Goodnick +2
Hydrogenation of amorphous silicon (a-Si:H) is critical for reducing defect densities, passivating mid-gap states and surfaces, and improving photoconductivity in silicon-based ele…
cond-mat.mtrl-sci2016★ 23 cited
Structural Simplicity as a Restraint on the Structure of Amorphous Silicon
Matthew J. Cliffe, Albert P. Bartók, Rachel N. Kerber +3
Understanding the structural origins of the properties of amorphous materials remains one of the most important challenges in structural science. In this study we demonstrate that…