ML MB: Difference between revisions

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{{TAGDEF|ML_FF_MB_MB|[integer]|1000}}
{{TAGDEF|ML_FF_MB_MB|[integer]|1500}}


Description: This flag sets the maximum number of local configurations (basis sets) describing the many-body interactions in the machine learning force field method.
Description: This flag sets the maximum number of local configurations (basis sets) describing the many-body interactions in the machine learning force field method.
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== Related Tags and Sections ==
== Related Tags and Sections ==
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_LBASIS_DISCARD}}, {{TAG|ML_FF_MCONF}}, {{TAG|ML_FF_LCONF_DISCARD}}
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_LBASIS_DISCARD}}, {{TAG|ML_FF_MCONF}}


{{sc|ML_FF_MB_MB|Examples|Examples that use this tag}}
{{sc|ML_FF_MB_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: Alpha]]

Revision as of 10:23, 27 October 2020

ML_FF_MB_MB = [integer]
Default: ML_FF_MB_MB = 1500 

Description: This flag sets the maximum number of local configurations (basis sets) describing the many-body interactions in the machine learning force field method.


The default value is usually a safe value but should be set to a higher value as soon as it is reached. When this happens the code stops and gives an error instructing to increase ML_FF_MB_MB. In all cases the previous learning calculation should be repeated. By using ML_FF_LBASIS_DISCARD=.FALSE. (default setting for this tag) it can be easily detected if ML_FF_MB_MB is reached, since the learning would simply stop.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_LBASIS_DISCARD, ML_FF_MCONF

Examples that use this tag