ML NMDINT: Difference between revisions

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Description: Tag to control the minimum interval to get training samples in the machine learning force field method.
Description: Tag to control the minimum interval to get training samples in the machine learning force field method.
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This tag defines a lower threshold for taking new configurations from the MD, so that as long as the upper threshold for the Bayesian error (e.g. {{TAG|ML_FF_CDOUB}} times {{TAG|ML_FF_CTIFOR}}) is not exceeded,  at least {{TAG|ML_FF_NMDINT}} MD steps are preformed using the MLFF (i.e. no first principles calculation is performed). This is the default method, and avoids that many nearly identical structures are added.
This flag is only used for {{TAG|ML_FF_ISAMPLE}}=3.  


== Related Tags and Sections ==
== Related Tags and Sections ==

Revision as of 10:05, 12 June 2021

ML_FF_NMDINT = [integer]
Default: ML_FF_NMDINT = 10 

Description: Tag to control the minimum interval to get training samples in the machine learning force field method.


This tag defines a lower threshold for taking new configurations from the MD, so that as long as the upper threshold for the Bayesian error (e.g. ML_FF_CDOUB times ML_FF_CTIFOR) is not exceeded, at least ML_FF_NMDINT MD steps are preformed using the MLFF (i.e. no first principles calculation is performed). This is the default method, and avoids that many nearly identical structures are added.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_ISAMPLE

Examples that use this tag