ML RDES SPARSDES: Difference between revisions

Revision as of 19:45, 11 October 2021

ML_RDES_SPARSDES = [real]
Default: ML_RDES_SPARSDES = 0.5

Description: This tag sets the ratio of the selected to the total number of descriptors within the angular descriptor sparsification (within the machine learning force field method).

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 must be chosen between $0 < r \leq 1$ .

Related Tags and Sections

ML_LMLFF, ML_LSPARSDES, ML_NRANK_SPARSDES

Examples that use this tag

@@ Line 1: / Line 1: @@
 {{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 the ratio of the selected to the total number of descriptors within the angular descriptor sparsification (within the machine learning force field method).
 ----
 For details on the theory of angular descriptor sparsification see [[Machine learning force field: Theory#Sparsification of angular descriptors|here]].
@@ Line 7: / Line 7: @@
 For details on how to use the sparsification see the tag {{TAG|ML_LSPARSDES}}.
-The values for {{TAG|ML_RDES_SPARSDES}} should be chosen between <math>0 < r \leq 1</math>.
+The values for {{TAG|ML_RDES_SPARSDES}} must be chosen between <math>0 < r \leq 1</math>.
 == Related Tags and Sections ==