ML CTIFOR: Difference between revisions
No edit summary |
|||
| Line 7: | Line 7: | ||
== Related Tags and Sections == | == Related Tags and Sections == | ||
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_IERR}}, {{TAG|ML_FF_CSF}}, {{TAG| ML_FF_ISAMPLE }} | {{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_IERR}}, {{TAG|ML_FF_CSF}}, {{TAG| ML_FF_ISAMPLE }}, {{TAG | ML_FF_CDOUB}} | ||
{{sc|ML_FF_C[[Category:VASP6]] | {{sc|ML_FF_C[[Category:VASP6]] | ||
Revision as of 07:33, 5 October 2020
ML_FF_CTIFOR = [real]
Default: ML_FF_CTIFOR =
Description: This flag sets the threshold for the Bayesian error estimation on the force in the machine learning force field method.
During learning, if a newly considered structure yields a Bayesian error in the force larger than ML_FF_CTIFOR, a first principles calculation is performed, and the corresponding structure is added to the date set of structures that are used when the force field is updated. This flag is only used if ML_FF_IERR=2 or 3. The unit of ML_FF_CTIFOR is eV/Angstrom. For more details ML_FF_ISAMPLE .
Related Tags and Sections
ML_FF_LMLFF, ML_FF_IERR, ML_FF_CSF, ML_FF_ISAMPLE , ML_FF_CDOUB
[[Special:Search/"ML_FF_C TIFOR" incategory:"Examples"|Examples that use this tag]]