ML RDES SPARSDES: Difference between revisions

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{{TAGDEF|ML_FF_RDES_SPARSDES_MB|[real]|0.5}}
{{TAGDEF|ML_RDES_SPARSDES|[real]|0.5}}


Description: This tag sets ratio of the selected descriptors to the total number of descriptors within the sparsification of the angular descriptors is done within machine learning force fields.
Description: This tag sets ratio of the selected descriptors to the total number of descriptors within the sparsification of the angular descriptors is done within machine learning force fields.
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For details on the theory of angular descriptor sparsification see [[Machine learning force field: Theory#Sparsification of angular descriptors|here]].
For details on the theory of angular descriptor sparsification see [[Machine learning force field: Theory#Sparsification of angular descriptors|here]].


For details on how to use the sparsification see the tag {{TAG|ML_FF_LSPARSDES_MB}}.
For details on how to use the sparsification see the tag {{TAG|ML_LSPARSDES}}.


The values for {{TAG|ML_FF_RDES_SPARSDES_MB}} should be chosen between <math>0 < r \leq 1</math>.
The values for {{TAG|ML_RDES_SPARSDES}} should be chosen between <math>0 < r \leq 1</math>.


== Related Tags and Sections ==
== Related Tags and Sections ==
{{TAG|ML_FF_LMLFF}}, {{TAG|ML_FF_LSPARSDES_MB}}, {{TAG|ML_FF_NRANK_SPARSDES_MB}}
{{TAG|ML_LMLFF}}, {{TAG|ML_LSPARSDES}}, {{TAG|ML_NRANK_SPARSDES}}


{{sc|ML_FF_EPS_LOW|Examples|Examples that use this tag}}
{{sc|ML_EPS_LOW|Examples|Examples that use this tag}}


[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]]
[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]]

Revision as of 09:12, 23 August 2021

ML_RDES_SPARSDES = [real]
Default: ML_RDES_SPARSDES = 0.5 

Description: This tag sets ratio of the selected descriptors to the total number of descriptors within the sparsification of the angular descriptors is done within machine learning force fields.


For details on the theory of angular descriptor sparsification see here.

For details on how to use the sparsification see the tag ML_LSPARSDES.

The values for ML_RDES_SPARSDES should be chosen between .

Related Tags and Sections

ML_LMLFF, ML_LSPARSDES, ML_NRANK_SPARSDES

Examples that use this tag