Jump to content

Requests for technical support from the VASP team should be posted in the VASP Forum.

ML LHEAT: Difference between revisions

From VASP Wiki
No edit summary
No edit summary
Line 3: Line 3:
Description: This flag specifies whether the heat flux is calculated or not in the machine learning force field method.
Description: This flag specifies whether the heat flux is calculated or not in the machine learning force field method.
----
----
The thermal conductivity at temperature <math>T</math> in the Green-Kubo formalism is calculated from the correlation of the heat flux <math>\mathbf{q}</math> as
<math>
\kappa = \frac{1}{3Vk_{b}T^{2}} \int\limits_{0}^{\infty} \langle \mathbf{q}(t) \cdot \mathbf{q}(0) \rangle dt,
</math>
where <math>V</math> and <math>k_{b}</math> denotes the volume of the system and the Boltzmann constant, respectively.
The heat flux is written to the file {{TAG|ML_HEAT}}.
The heat flux is written to the file {{TAG|ML_HEAT}}.



Revision as of 07:35, 9 June 2021

ML_FF_LHEAT_MB = [logical]
Default: ML_FF_LHEAT_MB = .FALSE. 

Description: This flag specifies whether the heat flux is calculated or not in the machine learning force field method.


The thermal conductivity at temperature T in the Green-Kubo formalism is calculated from the correlation of the heat flux 𝐪 as

κ=13VkbT20𝐪(t)𝐪(0)dt,

where V and kb denotes the volume of the system and the Boltzmann constant, respectively.


The heat flux is written to the file ML_HEAT.

Related Tags and Sections

ML_FF_LMLFF, ML_FF_LEATOM_MB

Examples that use this tag