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Published in 2024 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.3c01115
Abstract: An accurate and transferable machine learning (ML) potential for the simulation of binary sodium silicate glasses over a wide range of compositions (from 0 to 50% Na2O) was developed. The potential energy surface is approximated…
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Keywords:
sodium silicate;
transferable machine;
learning potential;
silicate glasses ... See more keywords