ML WTIFOR: Difference between revisions

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[[Category:INCAR tag]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]]
[[Category:INCAR tag]][[Category:Machine-learned force fields]]

Latest revision as of 13:31, 8 April 2022

ML_WTIFOR = [real] 

Default: ML_WTIFOR = 0.05 if ML_IWEIGHT=1
= 1.0 otherwise

Description: This tag sets the weight for the scaling of the forces in the training data within the machine learning force field method.


ML_IWEIGHT, ML_WTOTEN, ML_WTIFOR, ML_WTSIF form a group of tags which set the normalization and weighting of ab initio training data, i.e. energies, forces and stresses of the training structures. The main control tag is ML_IWEIGHT, please also have a look at its detailed description. If ML_IWEIGHT=1 the weight has unit eV/Angstrom and is used to divide the data by it. For ML_IWEIGHT=2 and 3 the weights are unitless and multiplicative.

Related tags and articles

ML_LMLFF, ML_IWEIGHT, ML_WTOTEN, ML_WTSIF, ML_IALGO_LINREG

Examples that use this tag