Computational data for: "Machine learned potentials by active learning from organic crystal structure prediction landscapes'
Computational data for: "Machine learned potentials by active learning from organic crystal structure prediction landscapes'
Computational data related to landscapes of predicted crystal structures and neural network potentials reported in publication 'Machine Learned Potentials by Active Learning from Organic Crystal Structure Prediction Landscapes'.
in press Journal of Physical Chemistry A
University of Southampton
Butler, Patrick Walter Villers
6e0f7f4a-4cb5-4868-9820-d120c7d905f8
Hafizi, Roohollah
bdf707e3-cfc0-4c9b-8daa-d1acc5123632
Day, Graeme
e3be79ba-ad12-4461-b735-74d5c4355636
Butler, Patrick Walter Villers
6e0f7f4a-4cb5-4868-9820-d120c7d905f8
Hafizi, Roohollah
bdf707e3-cfc0-4c9b-8daa-d1acc5123632
Day, Graeme
e3be79ba-ad12-4461-b735-74d5c4355636
Butler, Patrick Walter Villers
(2023)
Computational data for: "Machine learned potentials by active learning from organic crystal structure prediction landscapes'.
University of Southampton
doi:10.5258/SOTON/D2840
[Dataset]
Abstract
Computational data related to landscapes of predicted crystal structures and neural network potentials reported in publication 'Machine Learned Potentials by Active Learning from Organic Crystal Structure Prediction Landscapes'.
in press Journal of Physical Chemistry A
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Published date: 2023
Identifiers
Local EPrints ID: 486210
URI: http://eprints.soton.ac.uk/id/eprint/486210
PURE UUID: 01ed1ebd-d25e-43e3-8365-ab70ebbff0aa
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Date deposited: 12 Jan 2024 18:02
Last modified: 13 Jan 2024 02:59
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Contributors
Creator:
Patrick Walter Villers Butler
Other:
Roohollah Hafizi
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