On machine learning force fields for metallic nanoparticles
Machine learning algorithms have recently emerged as a tool to generate force fields which display accuracies approaching the ones of the ab-initio calculations they are trained on, but are much faster to compute. The enhanced computational speed of machine learning force fields results key for mode...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2019-01-01
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| Series: | Advances in Physics: X |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23746149.2019.1654919 |