Published October 13, 2020 | Version v1
Dataset Open

GAP-20 machine learning force field for phosphorus

  • 1. University of Oxford
  • 2. Aalto University
  • 3. University of Cambridge

Description

This dataset contains the force-field parameter files and reference database described in the manuscript "A general-purpose machine-learning force field for bulk and nanostructured phosphorus" (to be published).

Files

P_GAP_20.xml

Files (138.9 MB)

Name Size Download all
md5:7ce60018d2b4cc3eaab837e4f70ecd16
711.3 kB Preview Download
md5:e0c8c6cb23c7ae5e0b0f97f18471beff
405 Bytes Download
md5:63f33a53a1d2d49e32b452108495e874
119.8 MB Download
md5:f8db34a48289bc2f4813dd64477aa387
18.4 MB Download
md5:d0d35f50681ead1f9563bf4057ac2c4e
2.3 kB Preview Download

Additional details

Funding

Research Council of Finland
Accurate computational electrochemistry from density functional theory and multiscale atomistic simulations 310574
UK Research and Innovation
Support for the UKCP consortium EP/P022596/1
European Commission
HPC-EUROPA3 - Transnational Access Programme for a Pan-European Network of HPC Research Infrastructures and Laboratories for scientific computing 730897