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Efficient Modeling of Quantum Dynamics of Charge Carriers in Materials Using Short Nonequilibrium Molecular Dynamics
[Image: see text] Nonadiabatic molecular dynamics provides essential insights into excited-state processes, but it is computationally intense and simplifications are needed. The classical path approximation provides critical savings. Still, long heating and equilibration steps are required. We demon...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518862/ https://www.ncbi.nlm.nih.gov/pubmed/37681642 http://dx.doi.org/10.1021/acs.jpclett.3c02187 |
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author | Wang, Bipeng Wu, Yifan Liu, Dongyu Vasenko, Andrey S. Casanova, David Prezhdo, Oleg V. |
author_facet | Wang, Bipeng Wu, Yifan Liu, Dongyu Vasenko, Andrey S. Casanova, David Prezhdo, Oleg V. |
author_sort | Wang, Bipeng |
collection | PubMed |
description | [Image: see text] Nonadiabatic molecular dynamics provides essential insights into excited-state processes, but it is computationally intense and simplifications are needed. The classical path approximation provides critical savings. Still, long heating and equilibration steps are required. We demonstrate that practical results can be obtained with short, partially equilibrated ab initio trajectories. Once the system’s structure is adequate and essential fluctuations are sampled, the nonadiabatic Hamiltonian can be constructed. Local structures require only 1–2 ps trajectories, as demonstrated with point defects in metal halide perovskites. Short trajectories represent anharmonic motions common in defective structures, an essential improvement over the harmonic approximation around the optimized geometry. Glassy systems, such as grain boundaries, require different simulation protocols, e.g., involving machine learning force fields. 10-fold shorter trajectories generate 10–20% time scale errors, which are acceptable, given experimental uncertainties and other approximations. The practical NAMD protocol enables fast screening of excited-state dynamics for rapid exploration of new materials. |
format | Online Article Text |
id | pubmed-10518862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-105188622023-09-26 Efficient Modeling of Quantum Dynamics of Charge Carriers in Materials Using Short Nonequilibrium Molecular Dynamics Wang, Bipeng Wu, Yifan Liu, Dongyu Vasenko, Andrey S. Casanova, David Prezhdo, Oleg V. J Phys Chem Lett [Image: see text] Nonadiabatic molecular dynamics provides essential insights into excited-state processes, but it is computationally intense and simplifications are needed. The classical path approximation provides critical savings. Still, long heating and equilibration steps are required. We demonstrate that practical results can be obtained with short, partially equilibrated ab initio trajectories. Once the system’s structure is adequate and essential fluctuations are sampled, the nonadiabatic Hamiltonian can be constructed. Local structures require only 1–2 ps trajectories, as demonstrated with point defects in metal halide perovskites. Short trajectories represent anharmonic motions common in defective structures, an essential improvement over the harmonic approximation around the optimized geometry. Glassy systems, such as grain boundaries, require different simulation protocols, e.g., involving machine learning force fields. 10-fold shorter trajectories generate 10–20% time scale errors, which are acceptable, given experimental uncertainties and other approximations. The practical NAMD protocol enables fast screening of excited-state dynamics for rapid exploration of new materials. American Chemical Society 2023-09-08 /pmc/articles/PMC10518862/ /pubmed/37681642 http://dx.doi.org/10.1021/acs.jpclett.3c02187 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Wang, Bipeng Wu, Yifan Liu, Dongyu Vasenko, Andrey S. Casanova, David Prezhdo, Oleg V. Efficient Modeling of Quantum Dynamics of Charge Carriers in Materials Using Short Nonequilibrium Molecular Dynamics |
title | Efficient Modeling
of Quantum Dynamics of Charge Carriers
in Materials Using Short Nonequilibrium Molecular Dynamics |
title_full | Efficient Modeling
of Quantum Dynamics of Charge Carriers
in Materials Using Short Nonequilibrium Molecular Dynamics |
title_fullStr | Efficient Modeling
of Quantum Dynamics of Charge Carriers
in Materials Using Short Nonequilibrium Molecular Dynamics |
title_full_unstemmed | Efficient Modeling
of Quantum Dynamics of Charge Carriers
in Materials Using Short Nonequilibrium Molecular Dynamics |
title_short | Efficient Modeling
of Quantum Dynamics of Charge Carriers
in Materials Using Short Nonequilibrium Molecular Dynamics |
title_sort | efficient modeling
of quantum dynamics of charge carriers
in materials using short nonequilibrium molecular dynamics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518862/ https://www.ncbi.nlm.nih.gov/pubmed/37681642 http://dx.doi.org/10.1021/acs.jpclett.3c02187 |
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