ML IREG: Difference between revisions
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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields | [[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]] |
Revision as of 10:52, 30 January 2020
ML_FF_IREG_MB = [integer]
Default: ML_FF_IREG_MB = 2
Description: This tag specifies whether the regularization parameters are kept constant or not in the machine learning force field method.
The following cases are possible for this tag:
- ML_FF_IREG_MB=1: The (initial) precision (ML_FF_SIGV0_MB) and noise (ML_FF_SIGW0_MB) parameters are kept constant.
- ML_FF_IREG_MB=2: The parameters are optimized (default).
For the optimization of the noise parameter see following section: Machine learning force fields: Theory.
Related Tags and Sections
ML_FF_LMLFF, ML_FF_SIGV0_MB, ML_FF_SIGW0_MB