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Difference between revisions of "ML FF IREG MB"

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{{TAGDEF|ML_FF_IREG_MB|[integer]|2}}
 
{{TAGDEF|ML_FF_IREG_MB|[integer]|2}}
  
Description: This tag specifies whether the noise parameters are kept constant or not in the machine learning force field method.
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Description: This tag specifies whether the regularization parameters are kept constant or not in the machine learning force field method.
 
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The following cases are possible for this tag:
 
The following cases are possible for this tag:
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For the optimization of the noise parameter <math>\sigma_{\mathrm{v}}^{2}</math> see following section:
 
For the optimization of the noise parameter <math>\sigma_{\mathrm{v}}^{2}</math> see following section:
{{TAG|On-the-fly machine learning force field generation using Bayesian linear regression}}.
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{{TAG|Machine learning force fields: Theory}}.
  
 
== Related Tags and Sections ==
 
== Related Tags and Sections ==
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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category:VASP6]]
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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]]

Latest revision as of 15:16, 29 February 2020

ML_FF_IREG_MB = [integer]
Default: ML_FF_IREG_MB = 2 

Description: This tag specifies whether the regularization parameters are kept constant or not in the machine learning force field method.


The following cases are possible for this tag:

For the optimization of the noise parameter see following section: Machine learning force fields: Theory.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_SIGV0_MB, ML_FF_SIGW0_MB

Examples that use this tag