ML MCONF NEW: Difference between revisions
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{{DISPLAYTITLE:ML_MCONF_NEW}} | |||
{{TAGDEF|ML_MCONF_NEW|[integer]|5}} | {{TAGDEF|ML_MCONF_NEW|[integer]|5}} | ||
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The usage of this tag in combination with the learning algorithms is described here: [[Machine learning force field calculations: Basics#Sampling of training data and local reference configurations|here]]. | The usage of this tag in combination with the learning algorithms is described here: [[Machine learning force field calculations: Basics#Sampling of training data and local reference configurations|here]]. | ||
== Related | == Related tags and articles == | ||
{{sc|ML_MCONF_NEW|Examples|Examples that use this tag}} | {{sc|ML_MCONF_NEW|Examples|Examples that use this tag}} | ||
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{{TAG|ML_LMLFF}}, {{TAG|ML_MCONF}}, {{TAG|ML_CTIFOR}}, {{TAG|ML_CDOUB}} | {{TAG|ML_LMLFF}}, {{TAG|ML_MCONF}}, {{TAG|ML_CTIFOR}}, {{TAG|ML_CDOUB}} | ||
[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields | [[Category:INCAR tag]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]] | ||
Revision as of 07:34, 7 April 2022
ML_MCONF_NEW = [integer]
Default: ML_MCONF_NEW = 5
Description: This tag sets the number of configurations that are stored temporarily as candidates for the training data in the machine learning force field method.
| Warning: This value is empirically set and should usually not be touched. |
The usage of this tag in combination with the learning algorithms is described here: here.