Accurate and Transferable Machine Learning Potential for Molecular Dynamics Simulation of Sodium Silicate Glasses
Author:
Affiliation:
1. Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena 41125, Italy
2. Université Paris-Saclay, CEA, CNRS, NIMBE, 91191 Gif-sur-Yvette, Cedex, France
Funder
Nvidia
Ministero dell'Universit? e della Ricerca
Publisher
American Chemical Society (ACS)
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.3c01115
Reference91 articles.
1. Silicate Glasses and Their Impact on Humanity
2. Glass Science in the United States: Current Status and Future Directions
3. Silica
4. Integrated flexible chalcogenide glass photonic devices
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