Simulation of transient and spatial structure of the radiative flux produced by multiple recombinations of excitons
Sabelfeld Karl K. () and
Sapozhnikov Viacheslav ()
Additional contact information
Sabelfeld Karl K.: Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences, Novosibirsk, Russia
Sapozhnikov Viacheslav: Institute of Computational Mathematics and Mathematical Geophysics, Russian Academy of Sciences, Novosibirsk, Russia
Monte Carlo Methods and Applications, 2022, vol. 28, issue 3, 255-268
Abstract:
In this paper, we study the multiple recombination exciton–photon–exciton process governed by a coupled system of the drift-diffusion-recombination equation and the integral radiative transfer equation. We develop a random walk on spheres algorithm for solving this system of equations. The algorithm directly simulates the transient drift-diffusion process of exciton’s motion. Then, at a random time the exciton recombines to a photon that moves in accordance with the radiative transfer equation, which in turn may recombine to an exciton etc. This algorithm is applied to calculate fluxes of excitons and photons as functions of time, and some other characteristics of the process. Calculations have also been carried out to validate the constructed model.
Keywords: Excitons; photons; the drift–diffusion–recombination process; random walk on spheres; radiative transfer equation; multiple exciton–photon–exciton recombinations (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/mcma-2022-2117 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:mcmeap:v:28:y:2022:i:3:p:255-268:n:4
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/mcma/html
DOI: 10.1515/mcma-2022-2117
Access Statistics for this article
Monte Carlo Methods and Applications is currently edited by Karl K. Sabelfeld
More articles in Monte Carlo Methods and Applications from De Gruyter
Bibliographic data for series maintained by Peter Golla ().