wACSF—Weighted atom-centered symmetry functions as descriptors in machine learning potentials
We introduce weighted atom-centered symmetry functions (wACSFs) as descriptors of a chemical system’s geometry for use in the prediction of chemical properties such as enthalpies or potential energies via machine learning. The wACSFs are based on conventional atom-centered symmetry functions (ACSFs)...
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| Published in: | The Journal of chemical physics 2018-06, Vol.148 (24), p.241709 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
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