Symmetry-breaking and reconstruction at point defects in solids
ORAL
Abstract
Point defects are a universal feature of crystalline materials. Their identification is often addressed by combining experimental measurements with theoretical models. The standard approach of simulating defects is, however, prone to miss the ground state atomic configurations associated with energy-lowering reconstructions from the idealised crystallographic environment.1–5 Missed ground states compromise the accuracy of calculated properties.
To address this issue, we report an approach to efficiently navigate the defect configurational landscape using targeted bond distortions and rattling.6 Application of our workflow to a range of materials (CdTe, GaAs, Sb2S3, Sb2Se3, CeO2) reveals symmetry breaking in each host crystal that is not found via conventional local minimization techniques. The point defect distortions are classified by the associated physico-chemical factors. We demonstrate the impact of these defect distortions on derived properties, including formation energies, concentrations and charge transition levels. Our work presents a step forward for quantitative modelling of imperfect solids.
1. Arrigoni, M. & Madsen, G. K. H. npj Comput Mater (2021)
2. Mosquera-Lois, I. & Kavanagh, S. R. Matter (2021)
3. Lany, S. & Zunger, A. Phys. Rev. Lett. (2004)
5. Kavanagh, S. R., Scanlon, D. O., Walsh, A. & Freysoldt, C. Faraday Discuss. (2022)
6. Mosquera-Lois, I., Kavanagh, S. R., Walsh, A., Scanlon, D. O. npj Comput Mater (Under Review)
To address this issue, we report an approach to efficiently navigate the defect configurational landscape using targeted bond distortions and rattling.6 Application of our workflow to a range of materials (CdTe, GaAs, Sb2S3, Sb2Se3, CeO2) reveals symmetry breaking in each host crystal that is not found via conventional local minimization techniques. The point defect distortions are classified by the associated physico-chemical factors. We demonstrate the impact of these defect distortions on derived properties, including formation energies, concentrations and charge transition levels. Our work presents a step forward for quantitative modelling of imperfect solids.
1. Arrigoni, M. & Madsen, G. K. H. npj Comput Mater (2021)
2. Mosquera-Lois, I. & Kavanagh, S. R. Matter (2021)
3. Lany, S. & Zunger, A. Phys. Rev. Lett. (2004)
5. Kavanagh, S. R., Scanlon, D. O., Walsh, A. & Freysoldt, C. Faraday Discuss. (2022)
6. Mosquera-Lois, I., Kavanagh, S. R., Walsh, A., Scanlon, D. O. npj Comput Mater (Under Review)
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Publication: Kavanagh, S. R., Walsh, A. & Scanlon, D. O. ACS Energy Lett. (2021)<br>Mosquera-Lois, I. & Kavanagh, S. R. Matter (2021)<br>Kavanagh, S. R., Scanlon, D. O., Walsh, A. & Freysoldt, C. Faraday Discuss. (2022)<br>Mosquera-Lois, I., Kavanagh, S. R., Walsh, A., Scanlon, D. O. npj Comput Mater (Under Review)<br>Mosquera-Lois, I., Kavanagh, S. R., Walsh, A., Scanlon, D. O. J Open Source Software (Under Review)
Presenters
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Seán R Kavanagh
University College London
Authors
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Seán R Kavanagh
University College London
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Irea Mosquera-Lois
Department of Materials, Imperial College London
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Aron Walsh
Imperial College London
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David O Scanlon
Department of Chemistry, University College London, University College London