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ML LCOUPLE

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Revision as of 08:53, 23 August 2021 by Karsai (talk | contribs)

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

Description: This tag specifies whether coupling parameters are used for the calculation of chemical potentials or not within the machine learning force field method.


In thermodynamic integration a coupling parameter λ is introduced to the Hamiltonian to smoothly switch between a "non-interacting" reference state and a "fully-interacting" state. The change of the free energy along this path is written as

Δμ=01dH(λ)dλλdλ.

Using machine learning force fields the Hamiltonian can be written as

H(λ)=i=1Na|𝐩i|22mi+iMUi(λ)+λiMUi(λ)+iNaUi,𝐚𝐭𝐨𝐦.

where Na denotes the number of atoms and Ui,𝐚𝐭𝐨𝐦 is an atomic reference energy for a single non interacting atom. The first term in the equation describes the potential energy and the second and third term describe the potential energy of an atom i. The index M denotes the atoms whose interaction is controlled by a coupling parameter. The interaction of the atoms are controlled by scaling the contributions to the atom density via the coupling parameter

ρ(𝐫,λ)=jMfcut(|𝐫j𝐫i|)g[𝐫(𝐫j𝐫i)]+λjMfcut(|𝐫j𝐫i|)g[𝐫(𝐫j𝐫i)].


Further details on the implementation can be found in reference [1].

For thermodynamic integration the following parameters have to be set:

  • ML_ISTART=2.
  • ML_LCOUPLE=.TRUE..
  • The number of atoms for which a coupling parameter is introduced (iM): ML_NATOM_COUPLED.
  • The list of atom indices that for that the coupling parameter is applied in the interaction: ML_ICOUPLE.
  • The strength of the coupling parameter lambda between 0 and 1: ML_RCOUPLE.

The derivative of the hamiltonian with respect to the coupling constant dH/dλ is written out at every MD step to the ML_LOGFILE. A sample output should look like the following

dH/dRCOUPLE (eV):     0.893558

References


Related Tags and Sections

ML_LMLFF, ML_NATOM_COUPLED, ML_ICOUPLE, ML_RCOUPLE

Examples that use this tag