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Quantum Drude oscillators coupled with Coulomb potential as an efficient model for bonded and non-covalent interactions in atomic dimers.
Ditte, Matej; Barborini, Matteo; Tkatchenko, Alexandre.
Afiliación
  • Ditte M; Department of Physics and Materials Science, University of Luxembourg, L-1511 Luxembourg City, Luxembourg.
  • Barborini M; Department of Physics and Materials Science, University of Luxembourg, L-1511 Luxembourg City, Luxembourg.
  • Tkatchenko A; Department of Physics and Materials Science, University of Luxembourg, L-1511 Luxembourg City, Luxembourg.
J Chem Phys ; 160(9)2024 Mar 07.
Article en En | MEDLINE | ID: mdl-38445736
ABSTRACT
The quantum Drude oscillator (QDO) model has been widely used as an efficient surrogate to describe the electric response properties of matter as well as long-range interactions in molecules and materials. Most commonly, QDOs are coupled within the dipole approximation so that the Hamiltonian can be exactly diagonalized, which forms the basis for the many-body dispersion method [Phys. Rev. Lett. 108, 236402 (2012)]. The dipole coupling is efficient and allows us to study non-covalent many-body effects in systems with thousands of atoms. However, there are two

limitations:

(i) the need to regularize the interaction at short distances with empirical damping functions and (ii) the lack of multipolar effects in the coupling potential. In this work, we convincingly address both limitations of the dipole-coupled QDO model by presenting a numerically exact solution of the Coulomb-coupled QDO model by means of quantum Monte Carlo methods. We calculate the potential-energy surfaces of homogeneous QDO dimers, analyzing their properties as a function of the three tunable parameters frequency, reduced mass, and charge. We study the coupled-QDO model behavior at short distances and show how to parameterize this model to enable an effective description of chemical bonds, such as the covalent bond in the H2 molecule.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article