Permutationally invariant polynomial regression for energies and gradients, using reverse differentiation, achieves orders of magnitude speed-up with high precision compared to other machine learning methods
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arXiv
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| Main Authors: | Houston, Paul L., Qu, Chen, Nandi, Apurba, Conte, Riccardo, Yu, Qi, Bowman, Joel M. |
|---|---|
| Format: | Preprint |
| Published: |
2021
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| Subjects: | |
| Online Access: | |
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