CUED Publications database

Research Data supporting "Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid Silicon"

Bernstein, N and Bhattarai, B and Csanyi, G and Drabold, D and Elliott, SR and Deringer, V Research Data supporting "Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid Silicon". (Unpublished)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: amorphous materials silicon machine learning
Subjects: UNSPECIFIED
Divisions: Div C > Applied Mechanics
Depositing User: Cron Job
Date Deposited: 09 Apr 2019 01:12
Last Modified: 18 Feb 2021 15:50
DOI: