ML SION2: Difference between revisions
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{{TAGDEF| | {{TAGDEF|ML_SION2|[real]|1.5*{{TAG|ML_SION1}}}} | ||
Description: This tag specifies the width of the Gaussian functions used for broadening the atomic distributions of the angular descriptor within the machine learning force field method. | Description: This tag specifies the width of the Gaussian functions used for broadening the atomic distributions of the angular descriptor within the machine learning force field method. | ||
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The unit of {{TAG| | The unit of {{TAG|ML_SION2}} is in <math>\AA</math>. | ||
Test calculations showed that a 1.5 smaller value for the broadening of the radial descriptor compared to the angular descriptor (see {{TAG| | Test calculations showed that a 1.5 smaller value for the broadening of the radial descriptor compared to the angular descriptor (see {{TAG|ML_SION2}}) gives optimal results. | ||
== Related Tags and Sections == | == Related Tags and Sections == | ||
{{TAG| | {{TAG|ML_LMLFF}}, {{TAG|ML_SION1}}, {{TAG|ML_RCUT1}}, {{TAG|ML_RCUT2}}, {{TAG|ML_MRB1}}, {{TAG|ML_MRB2}} | ||
{{sc| | {{sc|ML_SION2|Examples|Examples that use this tag}} | ||
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[[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 11:03, 6 September 2021
ML_SION2 = [real]
Default: ML_SION2 = 1.5*ML_SION1
Description: This tag specifies the width of the Gaussian functions used for broadening the atomic distributions of the angular descriptor within the machine learning force field method.
The unit of ML_SION2 is in . Test calculations showed that a 1.5 smaller value for the broadening of the radial descriptor compared to the angular descriptor (see ML_SION2) gives optimal results.
Related Tags and Sections
ML_LMLFF, ML_SION1, ML_RCUT1, ML_RCUT2, ML_MRB1, ML_MRB2