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Sampling the thermal Wigner density via a generalized Langevin dynamics

Authors :
Sara Bonella
Simon Huppert
Thomas Plé
Fabio Finocchi
Philippe Depondt
Institut des Nanosciences de Paris (INSP)
Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Source :
Journal of Chemical Physics, Journal of Chemical Physics, American Institute of Physics, 2019, 151 (11), pp.114114. ⟨10.1063/1.5099246⟩, The Journal of Chemical Physics
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; The Wigner thermal density is a function of considerable interest in the area of approximate (linearized or semiclassical) quantum dynamics where it is employed to generate initial conditions for the propagation of appropriate sets of classical trajectories. In this paper, we propose an original approach to compute the Wigner density, based on a generalized Langevin equation. The stochastic dynamics is non-trivial in that it contains a coordinate-dependent friction coefficient and a generalized force that couples momenta and coordinates. These quantities are, in general, not known analytically and have to be estimated via auxiliary calculations. The performance of the new sampling scheme is tested on standard model systems with highly non classical features such as relevant zero point energy effects, correlation between momenta and coordinates, and negative parts of the Wigner density. In its current brute force implementation, the algorithm, whose convergence can be systematically checked, is accurate and has only limited overhead compared to schemes with similar characteristics. We briefly discuss potential ways to further improve its numerical efficiency.

Details

Language :
English
ISSN :
00219606 and 10897690
Database :
OpenAIRE
Journal :
Journal of Chemical Physics, Journal of Chemical Physics, American Institute of Physics, 2019, 151 (11), pp.114114. ⟨10.1063/1.5099246⟩, The Journal of Chemical Physics
Accession number :
edsair.doi.dedup.....67b8030e0c53f1f68790e8aeee32a4aa