Numerical modeling of exciton–polariton Bose–Einstein condensate in a microcavity

Published: 29 Nov 2019 | Version 1 | DOI: 10.17632/zgws4ghzd2.1

Description of this data

Abstract
A novel, optimized numerical method of modeling of an exciton–polariton superfluid in a semiconductor microcavity was proposed. Exciton–polaritons are spin-carrying quasiparticles formed from photons strongly coupled to excitons. They possess unique properties, interesting from the point of view of fundamental research as well as numerous potential applications. However, their numerical modeling is challenging due to the structure of nonlinear differential equations describing their evolution...

Title of program: EPCGP
Catalogue Id: AFBQ_v1_0

Nature of problem
An exciton-polariton superfluid is a novel, interesting physical system allowing investigation of high temperature Bose-Einstein condensation of exciton-polaritons-quasiparticles carrying spin. They have brought a lot of attention due to their unique properties and potential applications in polariton-based optoelectronic integrated circuits. This is an out-of-equilibrium quantum system confined within a semiconductor microcavity. It is described by a set of nonlinear differential equations simil ...

Versions of this program held in the CPC repository in Mendeley Data
AFBQ_v1_0; EPCGP; 10.1016/j.cpc.2017.02.021

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

Experiment data files

This data is associated with the following publication:

Numerical modeling of exciton–polariton Bose–Einstein condensate in a microcavity

Published in: Computer Physics Communications

Latest version

  • Version 1

    2019-11-29

    Published: 2019-11-29

    DOI: 10.17632/zgws4ghzd2.1

    Cite this dataset

    Voronych, Oksana; Buraczewski, Adam; Matuszewski, Michał; Stobińska, Magdalena (2019), “Numerical modeling of exciton–polariton Bose–Einstein condensate in a microcavity ”, Mendeley Data, v1 http://dx.doi.org/10.17632/zgws4ghzd2.1

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Categories

Surface Science, Condensed Matter Physics, Computational Physics

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