ML SIGW0: Difference between revisions

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(Created page with "{{TAGDEF|ML_FF_SIGW0_MB|[real]|1.0}} Description: ---- == Related Tags and Sections == {{sc|ML_FF_SIGW0_MB|Examples|Examples that use this tag}} ---- Category:INCARC...")
 
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{{TAGDEF|ML_FF_SIGW0_MB|[real]|1.0}}
{{TAGDEF|ML_FF_SIGW0_MB|[real]|1.0}}


Description:
Description: This flag sets the initial precision parameter in the machine learning force field method.
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For the optimization of the noise parameter <math>\sigma_{\mathrm{w}}^{2}</math> see following section:
{{TAG|On-the-fly machine learning force field generation using Bayesian linear regression}}.


== Related Tags and Sections ==
== Related Tags and Sections ==
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_IREG_MB}}, {{TAG|ML_FF_SIGV0_MB}}


{{sc|ML_FF_SIGW0_MB|Examples|Examples that use this tag}}
{{sc|ML_FF_SIGW0_MB|Examples|Examples that use this tag}}
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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]]
[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category:VASP6]]

Revision as of 18:12, 19 May 2019

ML_FF_SIGW0_MB = [real]
Default: ML_FF_SIGW0_MB = 1.0 

Description: This flag sets the initial precision parameter in the machine learning force field method.


For the optimization of the noise parameter see following section: On-the-fly machine learning force field generation using Bayesian linear regression.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_IREG_MB, ML_FF_SIGV0_MB

Examples that use this tag