Research Data supporting "Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid Silicon"
Repository URI
Repository DOI
Change log
Authors
Bernstein, Noam
Bhattarai, Bishal
Drabold, David
Elliott, Stephen R
Description
This file contains additional data supporting the above-mentioned publication. Coordinate files from molecular dynamics simulations and structural relaxations are provided, alongside original data for local energies, all as discussed in the publication. A detailed description may be found in the README.txt file within the archive.
Version
Software / Usage instructions
The data are provided, as appropriate, either in comma-separated value (CSV) format, to be opened with text editors or other tools, or as structure files (e.g., XYZ format), to be opened with standard atomistic simulation software. A detailed description may be found in the README.txt file within the archive.
Keywords
amorphous materials, silicon, machine learning
Publisher
Sponsorship
Isaac Newton Trust (17.08(c))
Leverhulme Trust (ECF-2017-278)
Leverhulme Trust (ECF-2017-278)