ML MRB1: Difference between revisions
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{{DISPLAYTITLE:ML_MRB1}} | |||
{{TAGDEF|ML_MRB1|[integer]|8}} | {{TAGDEF|ML_MRB1|[integer]|8}} | ||
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The tag {{TAG|ML_MRB1}} sets the number <math>N_\text{R}^0</math> of radial basis functions to use in this expansion. The value of {{TAG|ML_MRB1}} is the default value for {{TAG|ML_MRB2}}. | The tag {{TAG|ML_MRB1}} sets the number <math>N_\text{R}^0</math> of radial basis functions to use in this expansion. The value of {{TAG|ML_MRB1}} is the default value for {{TAG|ML_MRB2}}. | ||
== Related | == Related tags and articles == | ||
{{TAG|ML_LMLFF}}, {{TAG|ML_MRB2}}, {{TAG|ML_W1}}, {{TAG|ML_RCUT1}}, {{TAG|ML_SION1}} | {{TAG|ML_LMLFF}}, {{TAG|ML_MRB2}}, {{TAG|ML_W1}}, {{TAG|ML_RCUT1}}, {{TAG|ML_SION1}} | ||
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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields | [[Category:INCAR tag]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]] |
Revision as of 07:35, 7 April 2022
ML_MRB1 = [integer]
Default: ML_MRB1 = 8
Description: This tag sets the number of radial basis functions used to expand the radial descriptor within the machine learning force field method.
The radial descriptor is constructed from
and is an approximation of the delta function. In practice, the continuous function above is transformed into a discrete set of numbers by expanding it into a set of radial basis functions (see this section for more details):
The tag ML_MRB1 sets the number of radial basis functions to use in this expansion. The value of ML_MRB1 is the default value for ML_MRB2.
Related tags and articles
ML_LMLFF, ML_MRB2, ML_W1, ML_RCUT1, ML_SION1