ML W1: Difference between revisions

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{{TAGDEF|ML_FF_W1_MB|[real]|0.5}}
{{TAGDEF|ML_FF_W1_MB|[real]|0.5}}


Description: This tag defines the weight for the radial descriptor within the machine learning force field method.
Description: This tag defines the weight for the radial (and angular) descriptor within the machine learning force field method.
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The weight for the angular descriptor <math>W_{2]</math> is internally derived from the weight of the radial descriptor <math>W_{1}</math> as:


By default this descriptor is used together with the angular descriptor (see {{TAG|ML_FF_W2_MB}}).
<math>W_{2}=1.0-W_{1].</math>
 
By default this descriptor is used together with the angular descriptor with equal weights. If the weight of either becomes 0 then the internal routines for that descriptor are mostly skipped.


== Related Tags and Sections ==
== Related Tags and Sections ==
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_W2_MB}}, {{TAG|ML_FF_ISOAP1_MB}}
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_ISOAP1_MB}}, {{TAG|ML_FF_ISOAP2_MB}}, {{TAG|ML_FF_RCUT1_MB}}, {{TAG|ML_FF_RCUT2_MB}}, {{TAG|ML_FF_SION1_MB}},{{TAG|ML_FF_SION2_MB}}


{{sc|ML_FF_W1_MB|Examples|Examples that use this tag}}
{{sc|ML_FF_W1_MB|Examples|Examples that use this tag}}

Revision as of 10:03, 16 November 2020

ML_FF_W1_MB = [real]
Default: ML_FF_W1_MB = 0.5 

Description: This tag defines the weight for the radial (and angular) descriptor within the machine learning force field method.


The weight for the angular descriptor Failed to parse (syntax error): {\displaystyle W_{2]} is internally derived from the weight of the radial descriptor as:

Failed to parse (syntax error): {\displaystyle W_{2}=1.0-W_{1].}

By default this descriptor is used together with the angular descriptor with equal weights. If the weight of either becomes 0 then the internal routines for that descriptor are mostly skipped.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_ISOAP1_MB, ML_FF_ISOAP2_MB, ML_FF_RCUT1_MB, ML_FF_RCUT2_MB, ML_FF_SION1_MB,ML_FF_SION2_MB

Examples that use this tag