Dynamic Vacancy Levels in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:msub> <mml:mrow> <mml:mi>Cs</mml:mi> <mml:mi>Pb</mml:mi> <mml:mi>Cl</mml:mi> </mml:mrow> <mml:mn>3</mml:mn> </mml:msub> </mml:math> Obey Equilib

Halide vacancies are the dominant point defects in perovskites, with <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"> <a:msub> <a:mi>V</a:mi> <a:mi>Cl</a:mi> </a:msub> </a:math> identified as a detrimental trap for the optoelectronic performance of <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"> <c:msub> <c:mrow> <c:mi>Cs</c:mi> <c:mi>Pb</c:mi> <c:mi>Cl</c:mi> </c:mrow> <c:mn>3</c:mn> </c:msub> </c:math> , which has applications ranging from photodetectors to solar cells. Understanding these defects under operating conditions is key since their electronic levels exhibit large thermal fluctuations that challenge the validity of static 0 K models. However, quantitative modeling of defect processes requires hybrid density functional theory with spin-orbit coupling, which is too expensive for direct molecular dynamic simulations. To address this, we train a multitask machine learning force field to study <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"> <e:msub> <e:mi>V</e:mi> <e:mi>Cl</e:mi> </e:msub> </e:math> in orthorhombic <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"> <g:msub> <g:mrow> <g:mi>Cs</g:mi> <g:mi>Pb</g:mi> <g:mi>Cl</g:mi> </g:mrow> <g:mn>3</g:mn> </g:msub> </g:math> at 300 K. While we observe strong oscillations in the optical transition level arising from the soft potential energy surface, neither the nonradiative capture barriers nor the thermodynamic charge transition levels are affected. Our results reveal that <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"> <i:msub> <i:mi>V</i:mi> <i:mi>Cl</i:mi> </i:msub> </i:math> is not responsible for the nonradiative losses previously assumed. Instead, its impact on performance arises from other mechanisms, such as limiting the open-circuit voltage and promoting ionic migration. Our findings demonstrate that, despite strong dynamical effects in halide perovskites, the conventional static formalism of defect theory remains valid for predicting thermodynamic behavior, providing a sound basis for the design of high-performance energy materials.

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Journal
PRX Energy
Published
2025-11-12
DOI
https://doi.org/10.1103/dxmb-8s96
Citations
3
Primary Topic
Perovskite Materials and Applications
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article
Field-Weighted Citation Impact
2.19
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article

Dynamic Vacancy Levels in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:msub> <mml:mrow> <mml:mi>Cs</mml:mi> <mml:mi>Pb</mml:mi> <mml:mi>Cl</mml:mi> </mml:mrow> <mml:mn>3</mml:mn> </mml:msub> </mml:math> Obey Equilib

Aron Walsh, Irea Mosquera‐Lois
3 citations
PRX Energy
Perovskite Materials and Applications
2.19
article

Dynamic Vacancy Levels in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:msub> <mml:mrow> <mml:mi>Cs</mml:mi> <mml:mi>Pb</mml:mi> <mml:mi>Cl</mml:mi> </mml:mrow> <mml:mn>3</mml:mn> </mml:msub> </mml:math> Obey Equilib

Aron Walsh, Irea Mosquera‐Lois
article en
3 citations

Abstract

Halide vacancies are the dominant point defects in perovskites, with <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"> <a:msub> <a:mi>V</a:mi> <a:mi>Cl</a:mi> </a:msub> </a:math> identified as a detrimental trap for the optoelectronic performance of <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"> <c:msub> <c:mrow> <c:mi>Cs</c:mi> <c:mi>Pb</c:mi> <c:mi>Cl</c:mi> </c:mrow> <c:mn>3</c:mn> </c:msub> </c:math> , which has applications ranging from photodetectors to solar cells. Understanding these defects under operating conditions is key since their electronic levels exhibit large thermal fluctuations that challenge the validity of static 0 K models. However, quantitative modeling of defect processes requires hybrid density functional theory with spin-orbit coupling, which is too expensive for direct molecular dynamic simulations. To address this, we train a multitask machine learning force field to study <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"> <e:msub> <e:mi>V</e:mi> <e:mi>Cl</e:mi> </e:msub> </e:math> in orthorhombic <g:math xmlns:g="http://www.w3.org/1998/Math/MathML" display="inline"> <g:msub> <g:mrow> <g:mi>Cs</g:mi> <g:mi>Pb</g:mi> <g:mi>Cl</g:mi> </g:mrow> <g:mn>3</g:mn> </g:msub> </g:math> at 300 K. While we observe strong oscillations in the optical transition level arising from the soft potential energy surface, neither the nonradiative capture barriers nor the thermodynamic charge transition levels are affected. Our results reveal that <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"> <i:msub> <i:mi>V</i:mi> <i:mi>Cl</i:mi> </i:msub> </i:math> is not responsible for the nonradiative losses previously assumed. Instead, its impact on performance arises from other mechanisms, such as limiting the open-circuit voltage and promoting ionic migration. Our findings demonstrate that, despite strong dynamical effects in halide perovskites, the conventional static formalism of defect theory remains valid for predicting thermodynamic behavior, providing a sound basis for the design of high-performance energy materials.

PRX EnergyVol. 4(4)
Thomas Young Centre (GB), Imperial College London (GB)
Openalex Percentile: Top 11%
Perovskite Materials and Applications
2.19
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