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Machine Learning Interatomic Potentials and Long-Range Physics
[Image: see text] Advances in machine learned interatomic potentials (MLIPs), such as those using neural networks, have resulted in short-range models that can infer interaction energies with near ab initio accuracy and orders of magnitude reduced computational cost. For many atom systems, including...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041642/ https://www.ncbi.nlm.nih.gov/pubmed/36802360 http://dx.doi.org/10.1021/acs.jpca.2c06778 |