ML CX: Difference between revisions
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If {{TAG|ML_FF_LCRITERIA}} is .TRUE., | If {{TAG|ML_FF_LCRITERIA}} is .TRUE., | ||
{{TAG|ML_FF_CTIFOR}} is set to the average of the | {{TAG|ML_FF_CTIFOR}} is set to the average of the Bayesian errors of the forces stored in a history (see {{TAG|ML_FF_LCRITERIA}}). The number of entries in the history are controlled by {{TAG|ML_FF_MHIS}}. | ||
{{TAG|ML_FF_CTIFOR}} = (average of the stored Bayesian errors) *(1.0 + {{TAG|ML_FF_XMIX}}). | {{TAG|ML_FF_CTIFOR}} = (average of the stored Bayesian errors) *(1.0 + {{TAG|ML_FF_XMIX}}). | ||
This implies that | This implies that for {{TAG|ML_FF_XMIX}}=1, the old value stored in {{TAG|ML_FF_CTIFOR}} is simply overwritten by the current average Bayesian error. This tag is particularly useful at the beginning to avoid that the value supplied in the INCAR file changes too quickly. | ||
== Related Tags and Sections == | == Related Tags and Sections == | ||
Revision as of 09:36, 6 September 2021
ML_FF_XMIX = [integer]
Default: ML_FF_XMIX = 1.0
Description: The parameter determines how the threshold (ML_FF_CTIFOR) is updated in the machine learning force field methods.
If ML_FF_LCRITERIA is .TRUE., ML_FF_CTIFOR is set to the average of the Bayesian errors of the forces stored in a history (see ML_FF_LCRITERIA). The number of entries in the history are controlled by ML_FF_MHIS.
ML_FF_CTIFOR = (average of the stored Bayesian errors) *(1.0 + ML_FF_XMIX).
This implies that for ML_FF_XMIX=1, the old value stored in ML_FF_CTIFOR is simply overwritten by the current average Bayesian error. This tag is particularly useful at the beginning to avoid that the value supplied in the INCAR file changes too quickly.
Related Tags and Sections
ML_FF_LMLFF, ML_FF_LCRITERIA, ML_FF_CTIFOR, ML_FF_MHIS