Tracing Ion Migration in Halide Perovskites with Machine Learned Force Fields

Fuente: arXiv
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Hauptverfasser: Tyagi, Viren, Pols, Mike, Brocks, Geert, Tao, Shuxia
Format: Preprint
Veröffentlicht: 2024
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author Tyagi, Viren
Pols, Mike
Brocks, Geert
Tao, Shuxia
author_facet Tyagi, Viren
Pols, Mike
Brocks, Geert
Tao, Shuxia
contents Halide perovskite optoelectronic devices suffer from chemical degradation and current-voltage hysteresis induced by migration of highly mobile charged defects. Atomic scale molecular dynamics simulations can capture the motion of these ionic defects, but classical force fields are too inflexible to describe their dynamical charge states. Using CsPbI3 as a case study, we train machine learned force fields from density functional theory calculations and study the diffusion of charged halide interstitial and vacancy defects in bulk CsPbI3. We find that negative iodide interstitials and positive iodide vacancies, the most stable charge states for their respective defect type, migrate at similar rates at room temperature. Neutral interstitials are faster, but neutral vacancies are one order of magnitude slower. Oppositely charged interstitials and vacancies, as they can occur in device operation or reverse bias conditions, are significantly slower and can be considered relatively immobile.
format Preprint
id arxiv_https___arxiv_org_abs_2409_16051
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Tracing Ion Migration in Halide Perovskites with Machine Learned Force Fields
Tyagi, Viren
Pols, Mike
Brocks, Geert
Tao, Shuxia
Materials Science
Halide perovskite optoelectronic devices suffer from chemical degradation and current-voltage hysteresis induced by migration of highly mobile charged defects. Atomic scale molecular dynamics simulations can capture the motion of these ionic defects, but classical force fields are too inflexible to describe their dynamical charge states. Using CsPbI3 as a case study, we train machine learned force fields from density functional theory calculations and study the diffusion of charged halide interstitial and vacancy defects in bulk CsPbI3. We find that negative iodide interstitials and positive iodide vacancies, the most stable charge states for their respective defect type, migrate at similar rates at room temperature. Neutral interstitials are faster, but neutral vacancies are one order of magnitude slower. Oppositely charged interstitials and vacancies, as they can occur in device operation or reverse bias conditions, are significantly slower and can be considered relatively immobile.
title Tracing Ion Migration in Halide Perovskites with Machine Learned Force Fields
topic Materials Science
url https://arxiv.org/abs/2409.16051