Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors

Fuente: arXiv
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Hauptverfasser: Bergermann, Kai, Deibel, Carsten, Herzog, Roland, MacKenzie, Roderick C. I., Pietschmann, Jan-Frederik, Stoll, Martin
Format: Preprint
Veröffentlicht: 2022
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author Bergermann, Kai
Deibel, Carsten
Herzog, Roland
MacKenzie, Roderick C. I.
Pietschmann, Jan-Frederik
Stoll, Martin
author_facet Bergermann, Kai
Deibel, Carsten
Herzog, Roland
MacKenzie, Roderick C. I.
Pietschmann, Jan-Frederik
Stoll, Martin
contents The Cahn--Hilliard equations are a versatile model for describing the evolution of complex morphologies. In this paper we present a computational pipeline for the numerical solution of a ternary phase-field model for describing the nanomorphology of donor--acceptor semiconductor blends used in organic photovoltaic devices. The model consists of two coupled fourth-order partial differential equations that are discretized using a finite element approach. In order to solve the resulting large-scale linear systems efficiently, we propose a preconditioning strategy that is based on efficient approximations of the Schur-complement of a saddle point system. We show that this approach performs robustly with respect to variations in the discretization parameters. Finally, we outline that the computed morphologies can be used for the computation of charge generation, recombination, and transport in organic solar cells.
format Preprint
id arxiv_https___arxiv_org_abs_2204_03575
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors
Bergermann, Kai
Deibel, Carsten
Herzog, Roland
MacKenzie, Roderick C. I.
Pietschmann, Jan-Frederik
Stoll, Martin
Numerical Analysis
The Cahn--Hilliard equations are a versatile model for describing the evolution of complex morphologies. In this paper we present a computational pipeline for the numerical solution of a ternary phase-field model for describing the nanomorphology of donor--acceptor semiconductor blends used in organic photovoltaic devices. The model consists of two coupled fourth-order partial differential equations that are discretized using a finite element approach. In order to solve the resulting large-scale linear systems efficiently, we propose a preconditioning strategy that is based on efficient approximations of the Schur-complement of a saddle point system. We show that this approach performs robustly with respect to variations in the discretization parameters. Finally, we outline that the computed morphologies can be used for the computation of charge generation, recombination, and transport in organic solar cells.
title Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors
topic Numerical Analysis
url https://arxiv.org/abs/2204.03575