(2022) Supporting Data for "Does a Machine-Learned Potential Perform Better Than an Optimally Tuned Traditional Force Field? A Case Study on Fluorohydrins". Zenodo doi:10.5281/zenodo.7839023 [Dataset]
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Abstract
Supporting Data for "Does a Machine-Learned Potential Perform Better Than an Optimally Tuned Traditional Force Field? A Case Study on Fluorohydrins"
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Published date: 28 November 2022
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Local EPrints ID: 476471
URI: http://eprints.soton.ac.uk/id/eprint/476471
PURE UUID: 3787e155-52a7-4f83-8650-515f822b2624
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Date deposited: 03 May 2023 16:59
Last modified: 20 Jul 2023 01:38
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Contributors
Contributor:
João Morado
Contributor:
Dr Paul Neil Mortenson
Contributor:
Dr J. Willem M. Nissink
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