Exploiting the quantum mechanically derived force field for functional materials simulations
Abstract The computational design of functional materials relies heavily on large-scale atomistic simulations. Such simulations are often problematic for conventional classical force fields, which require tedious and time-consuming parameterization of interaction parameters. The problem can be solve...
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2021-09-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-021-00628-z |
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doaj-e7ff4e264a824374b6d4e4a285a70ee12021-10-03T11:20:16ZengNature Publishing Groupnpj Computational Materials2057-39602021-09-01711910.1038/s41524-021-00628-zExploiting the quantum mechanically derived force field for functional materials simulationsAlexey Odinokov0Alexander Yakubovich1Won-Joon Son2Yongsik Jung3Hyeonho Choi4Samsung R&D Institute Russia (SRR), Samsung ElectronicsSamsung R&D Institute Russia (SRR), Samsung ElectronicsData and Information Technology Center, Samsung ElectronicsSamsung Advanced Institute of Technology (SAIT), Samsung ElectronicsSamsung Advanced Institute of Technology (SAIT), Samsung ElectronicsAbstract The computational design of functional materials relies heavily on large-scale atomistic simulations. Such simulations are often problematic for conventional classical force fields, which require tedious and time-consuming parameterization of interaction parameters. The problem can be solved using a quantum mechanically derived force field (QMDFF)—a system-specific force field derived directly from the first-principles calculations. We present a computational approach for atomistic simulations of complex molecular systems, which include the treatment of chemical reactions with the empirical valence bond approach. The accuracy of the QMDFF is verified by comparison with the experimental properties of liquid solvents. We illustrate the capabilities of our methodology to simulate functional materials in several case studies: chemical degradation of material in organic light-emitting diode (OLED), polymer chain packing, material morphology of organometallic photoresists. The presented methodology is fast, accurate, and highly automated, which allows its application in diverse areas of materials science.https://doi.org/10.1038/s41524-021-00628-z |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alexey Odinokov Alexander Yakubovich Won-Joon Son Yongsik Jung Hyeonho Choi |
spellingShingle |
Alexey Odinokov Alexander Yakubovich Won-Joon Son Yongsik Jung Hyeonho Choi Exploiting the quantum mechanically derived force field for functional materials simulations npj Computational Materials |
author_facet |
Alexey Odinokov Alexander Yakubovich Won-Joon Son Yongsik Jung Hyeonho Choi |
author_sort |
Alexey Odinokov |
title |
Exploiting the quantum mechanically derived force field for functional materials simulations |
title_short |
Exploiting the quantum mechanically derived force field for functional materials simulations |
title_full |
Exploiting the quantum mechanically derived force field for functional materials simulations |
title_fullStr |
Exploiting the quantum mechanically derived force field for functional materials simulations |
title_full_unstemmed |
Exploiting the quantum mechanically derived force field for functional materials simulations |
title_sort |
exploiting the quantum mechanically derived force field for functional materials simulations |
publisher |
Nature Publishing Group |
series |
npj Computational Materials |
issn |
2057-3960 |
publishDate |
2021-09-01 |
description |
Abstract The computational design of functional materials relies heavily on large-scale atomistic simulations. Such simulations are often problematic for conventional classical force fields, which require tedious and time-consuming parameterization of interaction parameters. The problem can be solved using a quantum mechanically derived force field (QMDFF)—a system-specific force field derived directly from the first-principles calculations. We present a computational approach for atomistic simulations of complex molecular systems, which include the treatment of chemical reactions with the empirical valence bond approach. The accuracy of the QMDFF is verified by comparison with the experimental properties of liquid solvents. We illustrate the capabilities of our methodology to simulate functional materials in several case studies: chemical degradation of material in organic light-emitting diode (OLED), polymer chain packing, material morphology of organometallic photoresists. The presented methodology is fast, accurate, and highly automated, which allows its application in diverse areas of materials science. |
url |
https://doi.org/10.1038/s41524-021-00628-z |
work_keys_str_mv |
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