ML CDOUB: Difference between revisions
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== Related Tags and Sections == | == Related Tags and Sections == | ||
{{TAG|ML_LMLFF}}, {{TAG|ML_CTIFOR}}, {{TAG|ML_NMDINT}} | {{TAG|ML_LMLFF}}, {{TAG|ML_MCONF_NEW}}, {{TAG|ML_CTIFOR}}, {{TAG|ML_NMDINT}} | ||
{{sc|ML_CDOUB|Examples|Examples that use this tag}} | {{sc|ML_CDOUB|Examples|Examples that use this tag}} | ||
Revision as of 13:18, 21 October 2021
ML_CDOUB = [real]
Default: ML_CDOUB = 2.0
Description: This tag controls the criterion for "enforced" DFT calculations within the machine learning force field method.
The usage of this tag in combination with the learning algorithms is described here: here.
If at any time, the estimated force errors are ML_CDOUB times larger than the Bayesian threshold (i.e. "critically" high), a first principles calculation is performed and a new force field is immediately generated (even if the counter for sampling is below the minimum amount of sampled structures ML_NMDINT).
Related Tags and Sections
ML_LMLFF, ML_MCONF_NEW, ML_CTIFOR, ML_NMDINT