ML SION1: Difference between revisions

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{{TAGDEF|ML_FF_SION1_MB|[real]|0.75}}
{{TAGDEF|ML_FF_SION1_MB|[real]|0.333}}


Description: This tag specifies the width of the Gaussian functions used for broadening the atomic distributions for the radial descriptor within the machine learning force field method.
Description: This tag specifies the width of the Gaussian functions used for broadening the atomic distributions for the radial descriptor within the machine learning force field method.
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The unit of {{TAG|ML_FF_SION1_MB}} is in <math>\AA</math>. This tag is only set if {{TAG|ML_FF_IBROAD1_MB}} is not equal 1 (not default).
The unit of {{TAG|ML_FF_SION1_MB}} 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.
This tag is not used if {{TAG|ML_FF_IBROAD1_MB}}=1 (which is not the default).


== Related Tags and Sections ==
== Related Tags and Sections ==

Revision as of 10:17, 16 November 2020

ML_FF_SION1_MB = [real]
Default: ML_FF_SION1_MB = 0.333 

Description: This tag specifies the width of the Gaussian functions used for broadening the atomic distributions for the radial descriptor within the machine learning force field method.


The unit of ML_FF_SION1_MB 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_FF_SION2_MB) gives optimal results. This tag is not used if ML_FF_IBROAD1_MB=1 (which is not the default).

Related Tags and Sections

ML_FF_LMLFF, ML_FF_SION2_MB, ML_FF_IBROAD1_MB, ML_FF_IBROAD2_MB

Examples that use this tag