ML CDOUB: Difference between revisions

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{{DISPLAYTITLE:ML_CDOUB}}
{{DISPLAYTITLE:ML_CDOUB}}
{{TAGDEF|ML_CDOUB|[real]|2.0}}
{{TAGDEF|ML_CDOUB|[real]}
{{DEF|ML_CDOUB|4.0|for {{TAG|ML_MODE}} {{=}} SELECT|2.0|else}}


Description: This tag controls the criterion for "enforced" DFT calculations within the machine learning force field method.
Description: This tag controls the criterion for "enforced" DFT calculations within the machine learning force field method.

Revision as of 13:57, 24 April 2023

{{TAGDEF|ML_CDOUB|[real]}

Default: ML_CDOUB = 4.0 for ML_MODE = SELECT
= 2.0 else

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 articles

ML_LMLFF, ML_MCONF_NEW, ML_CTIFOR, ML_NMDINT

Examples that use this tag