April 21, 2024 In Unkategorisiert
Lively studying of neural community potentials for uncommon occasions
Digital Discovery, 2024, Advance Article
DOI: 10.1039/D3DD00216K, Paper
DOI: 10.1039/D3DD00216K, Paper
Open Access
  This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.Gang Seob Jung, Jong Youl Choi, Sangkeun Matthew Lee
Developing an automated active learning framework for Neural Network Potentials, focusing on accurately simulating bond-breaking in hexane chains through steered molecular dynamics sampling and assessing model transferability.
To cite this article before page numbers are assigned, use the DOI form of citation above.
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Developing an automated active learning framework for Neural Network Potentials, focusing on accurately simulating bond-breaking in hexane chains through steered molecular dynamics sampling and assessing model transferability.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry
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