ML CTIFOR: Difference between revisions

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{{DISPLAYTITLE:ML_CTIFOR}}
{{TAGDEF|ML_CTIFOR|[real]|<math> 0.002</math>}}
{{TAGDEF|ML_CTIFOR|[real]|<math> 0.002</math>}}


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The initial threshold is set to the value provided by {{TAG|ML_CTIFOR}} (the unit is eV/Angstrom). The behaviour how the threshold is further controlled is given by {{TAG|ML_ICRITERIA}}.  
The initial threshold is set to the value provided by {{TAG|ML_CTIFOR}} (the unit is eV/Angstrom). The behaviour how the threshold is further controlled is given by {{TAG|ML_ICRITERIA}}.  


== Related Tags and Sections ==
== Related tags and articles ==
{{TAG|ML_LMLFF}}, {{TAG|ML_ICRITERIA}}, {{TAG|ML_MHIS}}, {{TAG|ML_CSIG}}, {{TAG|ML_CSLOPE}}, {{TAG|ML_CDOUB}}, {{TAG|ML_CX}}, {{TAG|ML_NMDINT}}, {{TAG|ML_MCONF_NEW}}
{{TAG|ML_LMLFF}}, {{TAG|ML_ICRITERIA}}, {{TAG|ML_MHIS}}, {{TAG|ML_CSIG}}, {{TAG|ML_CSLOPE}}, {{TAG|ML_CDOUB}}, {{TAG|ML_CX}}, {{TAG|ML_NMDINT}}, {{TAG|ML_MCONF_NEW}}


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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category:VASP6]][[Category: Alpha]]
[[Category:INCAR tag]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category:VASP6]]

Revision as of 07:21, 7 April 2022

ML_CTIFOR = [real]
Default: ML_CTIFOR =  

Description: This flag sets the threshold for the Bayesian error estimation on the force within the machine learning force field method.


The use of this tag in combination with the learning algorithms is described here: here.

The initial threshold is set to the value provided by ML_CTIFOR (the unit is eV/Angstrom). The behaviour how the threshold is further controlled is given by ML_ICRITERIA.

Related tags and articles

ML_LMLFF, ML_ICRITERIA, ML_MHIS, ML_CSIG, ML_CSLOPE, ML_CDOUB, ML_CX, ML_NMDINT, ML_MCONF_NEW

Examples that use this tag