ML SION2: Difference between revisions

From VASP Wiki
m (Karsai moved page ML FF SION2 MB to ML SION2)
No edit summary
Line 1: Line 1:
{{TAGDEF|ML_FF_SION2_MB|[real]|1.5*{{TAG|ML_FF_SION1_MB}}}}
{{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.
----
----
The unit of {{TAG|ML_FF_SION2_MB}} is in <math>\AA</math>.
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|ML_FF_SION2_MB}}) gives optimal results.
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|ML_FF_LMLFF}}, {{TAG|ML_FF_SION1_MB}}, {{TAG|ML_FF_RCUT1_MB}}, {{TAG|ML_FF_RCUT2_MB}}, {{TAG|ML_FF_MRB1_MB}}, {{TAG|ML_FF_MRB2_MB}}
{{TAG|ML_LMLFF}}, {{TAG|ML_SION1}}, {{TAG|ML_RCUT1}}, {{TAG|ML_RCUT2}}, {{TAG|ML_MRB1}}, {{TAG|ML_MRB2}}


{{sc|ML_FF_SION2_MB|Examples|Examples that use this tag}}
{{sc|ML_SION2|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 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

Examples that use this tag