ML SIGW0: Difference between revisions
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{{TAGDEF| | {{TAGDEF|ML_SIGW0|[real]|1.0}} | ||
Description: This flag sets the initial reversed and squared precision parameter <math>\frac{1}{\sigma_{\mathrm{w}}^{2}}</math> in the machine learning force field method. | Description: This flag sets the initial reversed and squared precision parameter <math>\frac{1}{\sigma_{\mathrm{w}}^{2}}</math> in the machine learning force field method. | ||
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== Related Tags and Sections == | == Related Tags and Sections == | ||
{{TAG| | {{TAG|ML_LMLFF}}, {{TAG|ML_IREG}}, {{TAG|ML_SIGV0}} | ||
{{sc| | {{sc|ML_SIGW0|Examples|Examples that use this tag}} | ||
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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]] | [[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]] | ||
Revision as of 11:05, 6 September 2021
ML_SIGW0 = [real]
Default: ML_SIGW0 = 1.0
Description: This flag sets the initial reversed and squared precision parameter in the machine learning force field method.
For the optimization of the reversed and squared noise parameter see following section: On-the-fly machine learning force field generation using Bayesian linear regression.