ML MCONF NEW: Difference between revisions
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{{TAGDEF|ML_FF_MCONF_NEW|[integer]|5}} | {{TAGDEF|ML_FF_MCONF_NEW|[integer]|5}} | ||
Description: | Description: This flag sets the number of configurations that are stored temporally as candidates for the training data in the machine learning force field method. | ||
---- | ---- | ||
This value is empirically set and should usually not be touched. | |||
== Related Tags and Sections == | == Related Tags and Sections == | ||
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{{sc|ML_FF_MCONF_NEW|Examples|Examples that use this tag}} | {{sc|ML_FF_MCONF_NEW|Examples|Examples that use this tag}} | ||
---- | ---- | ||
{{TAG|ML_FF_LMLFF}},{{TAG|ML_FF_MCONF}} | |||
[[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 15:19, 29 February 2020
ML_FF_MCONF_NEW = [integer]
Default: ML_FF_MCONF_NEW = 5
Description: This flag sets the number of configurations that are stored temporally as candidates for the training data in the machine learning force field method.
This value is empirically set and should usually not be touched.