ML IWEIGHT

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Revision as of 05:53, 2 October 2020 by Kresse (talk | contribs)

ML_FF_IWEIGHT = [integer]
Default: ML_FF_IWEIGHT = 3 

Description: Flag to control the weighting of training data in the machine learning force field method.


The following setting for ML_FF_IWEIGHT are possible:

The energies, forces and stress tensors for each subset are normalized using the average of the standard deviation of all subsets in the training data. The division into subsets is based on the name tag as given in the POSCAR file. If training is performed for widely different materials, for instance different phases that have large energy differences, it is important to chose different names in the POSCAR file. If this is not done, the standard deviation for the energy might become large, reducing the weight of the energy equations.

Mind: For ML_FF_IWEIGHT=2 and 3 the weights are unitless quantities used to multiply the data, whereas for ML_FF_IWEIGHT=1 they have a unit. All three methods provide unitless energies, forces and stress tensors, that are passed to the regression.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_WTOTEN, ML_FF_WTIFOR, ML_FF_WTSIF

Examples that use this tag