ML SION2: Difference between revisions

Revision as of 19:59, 10 October 2021

ML_SION2 = [real]
Default: ML_SION2 = 1.5*ML_SION1

Description: This tag specifies the width [math]\displaystyle{ \sigma_\text{atom} }[/math] of the Gaussian functions used for broadening the atomic distributions of the angular descriptor [math]\displaystyle{ \rho^{(3)}_i(r) }[/math] within the machine learning force field method (see this section).

The unit of ML_SION2 is [math]\displaystyle{ \AA }[/math]. Background:{| style="border: 0px solid #3E70EA; padding: 5px; background: #BBCCF5"

  | Tip: Our test calculations indicate that a ratio ML_SION2 / ML_SION1 = 1.5 results in an optimal training performance. Furthermore, a value of 0.5 was found to be a good default value for ML_SION2. Both findings together result in the default value for ML_SION1.
  |}

Related Tags and Sections

ML_LMLFF, ML_SION1, ML_RCUT1, ML_RCUT2, ML_MRB1, ML_MRB2

Examples that use this tag

@@ Line 1: / Line 1: @@
 {{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 <math>\sigma_\text{atom}</math> of the Gaussian functions used for broadening the atomic distributions of the angular descriptor <math>\rho^{(3)}_i(r)</math> within the machine learning force field method (see [[Machine learning force field: Theory#Descriptors|this section]]).
 ----
-The unit of {{TAG|ML_SION2}} is in <math>\AA</math>.
+The unit of {{TAG|ML_SION2}} is <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_SION2}}) gives optimal results.
+{{BOX|tip|Our test calculations indicate that a ratio {{TAG|ML_SION2}} / {{TAG|ML_SION1}} {{=}} 1.5 results in an optimal training performance. Furthermore, a value of 0.5 was found to be a good default value for {{TAG|ML_SION2}}. Both findings together result in the default value for {{TAG|ML_SION1}}.|Background:}}
 == Related Tags and Sections ==