ML NHYP: Difference between revisions

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{{DISPLAYTITLE:ML_NHYP}}
{{TAGDEF|ML_NHYP|[integer]|4}}
{{TAGDEF|ML_NHYP|[integer]|4}}


Description: Polynomial power of the kernel.
Description: This tag specifies the polynomial power <math> \zeta</math> of the kernel within the machine learning force field method (see [[Machine learning force field: Theory#Potential energy fitting|this section]]).
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This tag specifies the power <math> \zeta</math> of the polynomial kernel
The value of {{TAG|ML_NHYP}} must be an integer number <math>\ge</math> 1.


<math>
== Related tags and articles ==
K \left(\mathbf{X}_{i},\mathbf{X}_{i_\mathrm{B}}\right) = \left[ \beta \mathbf{X}_{i}^{(2)} \cdot \mathbf{X}_{i_{\mathrm{B}}}^{(2)} + (1-\beta)    \mathbf{\hat{X}}_{i}^{(3)} \cdot \mathbf{\hat{X}}_{i_{\mathrm{B}}}^{(3)} \right]^{\zeta}.
</math>
 
== Related Tags and Sections ==
{{TAG|ML_RCUT1}}, {{TAG|ML_SION1}}, {{TAG|ML_RCUT2}}, {{TAG|ML_SION2}}
{{TAG|ML_RCUT1}}, {{TAG|ML_SION1}}, {{TAG|ML_RCUT2}}, {{TAG|ML_SION2}}


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[[Category:INCAR]][[Category:Machine Learning]][[Category:Machine Learned Force Fields]][[Category: Alpha]]
[[Category:INCAR tag]][[Category:Machine-learned force fields]]

Latest revision as of 13:29, 8 April 2022

ML_NHYP = [integer]
Default: ML_NHYP = 4 

Description: This tag specifies the polynomial power of the kernel within the machine learning force field method (see this section).


The value of ML_NHYP must be an integer number 1.

Related tags and articles

ML_RCUT1, ML_SION1, ML_RCUT2, ML_SION2

Examples that use this tag