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Iterative workflow that fine-tunes pre-trained ML force fields using DFT-labeled data via active learning.
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Basado en la clasificación ocupacional SOC
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| name | pfd-finetuning |
| description | Iterative workflow that fine-tunes pre-trained ML force fields using DFT-labeled data via active learning. |
| metadata | {"dependent_skills":["machine-learning-force-field","dft-calculation","molecular-dynamics","atomic-structure","deepmd","abacus"],"tags":["iterative","active-learning","fine-tune"]} |
Coordinate iterative fine-tuning of ML force fields from a pre-trained model.
Standard loop:
Key parameters to confirm:
