ML CSLOPE: Difference between revisions

From VASP Wiki
No edit summary
No edit summary
(5 intermediate revisions by the same user not shown)
Line 1: Line 1:
{{TAGDEF|ML_FF_CSLOPE|[real]|<math>0.1</math>}}
{{TAGDEF|ML_FF_CSLOPE|[real]|<math>0.2</math>}}


Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method.
Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method.
Line 7: Line 7:


== Related Tags and Sections ==
== Related Tags and Sections ==
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_LCRITERIA}}, {{TAG|ML_FF_CSIG}}  
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_IERR}}, {{TAG|ML_FF_ISAMPLE}}, {{TAG|ML_FF_LCRITERIA}}, {{TAG|ML_FF_CSIG}}  


{{sc|ML_FF_CSLOPE|Examples|Examples that use this tag}}
{{sc|ML_FF_CSLOPE|Examples|Examples that use this tag}}
----
----


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

Revision as of 10:38, 17 November 2020

ML_FF_CSLOPE = [real]
Default: ML_FF_CSLOPE =  

Description: Parameter used in the automatic determination of threshold for Bayesian error estimation in the machine learning force field method.


ML_FF_CSLOPE is a threshold for slope of the stored estimated errors used to determine the criteria when ML_FF_LCRITERIA=.TRUE. is set.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_IERR, ML_FF_ISAMPLE, ML_FF_LCRITERIA, ML_FF_CSIG

Examples that use this tag