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An Algorithm Predicting the Optimal Mechanical Response of Electronic Energy Difference
[Image: see text] The use of mechanical forces at the molecular level has been shown to be an interesting tool for modulating different chemical and physical molecular properties. The so-called covalent mechanochemistry deals with the application of precise mechanical forces that induce specific cha...
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/PMC10536970/ https://www.ncbi.nlm.nih.gov/pubmed/37669417 http://dx.doi.org/10.1021/acs.jctc.3c00490 |
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author | Jodra, Alejandro García-Iriepa, Cristina Frutos, Luis Manuel |
author_facet | Jodra, Alejandro García-Iriepa, Cristina Frutos, Luis Manuel |
author_sort | Jodra, Alejandro |
collection | PubMed |
description | [Image: see text] The use of mechanical forces at the molecular level has been shown to be an interesting tool for modulating different chemical and physical molecular properties. The so-called covalent mechanochemistry deals with the application of precise mechanical forces that induce specific changes in the structure, stability, reactivity, and other physical properties. The use of this kind of force to modulate photophysical properties and photochemical reactivity has also been studied. Nevertheless, the general problem of mechanical modulation of the energy gap between two electronic states has been addressed only with the development of simple theoretical models. Here, we develop and implement an algorithm providing the Largest energy Gap variation with Minimal mechanical Force (LGMF) that allows the determination of the optimal mechanical forces tuning the electronic energy gap, as well as to identify the maximum mechanical response of a molecular system to the application of any mechanical stimulus. The algorithm has been implemented for diverse molecular systems showing different degrees of flexibility. The phyton code of the algorithm is available in a public repository. |
format | Online Article Text |
id | pubmed-10536970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-105369702023-09-29 An Algorithm Predicting the Optimal Mechanical Response of Electronic Energy Difference Jodra, Alejandro García-Iriepa, Cristina Frutos, Luis Manuel J Chem Theory Comput [Image: see text] The use of mechanical forces at the molecular level has been shown to be an interesting tool for modulating different chemical and physical molecular properties. The so-called covalent mechanochemistry deals with the application of precise mechanical forces that induce specific changes in the structure, stability, reactivity, and other physical properties. The use of this kind of force to modulate photophysical properties and photochemical reactivity has also been studied. Nevertheless, the general problem of mechanical modulation of the energy gap between two electronic states has been addressed only with the development of simple theoretical models. Here, we develop and implement an algorithm providing the Largest energy Gap variation with Minimal mechanical Force (LGMF) that allows the determination of the optimal mechanical forces tuning the electronic energy gap, as well as to identify the maximum mechanical response of a molecular system to the application of any mechanical stimulus. The algorithm has been implemented for diverse molecular systems showing different degrees of flexibility. The phyton code of the algorithm is available in a public repository. American Chemical Society 2023-09-05 /pmc/articles/PMC10536970/ /pubmed/37669417 http://dx.doi.org/10.1021/acs.jctc.3c00490 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 | Jodra, Alejandro García-Iriepa, Cristina Frutos, Luis Manuel An Algorithm Predicting the Optimal Mechanical Response of Electronic Energy Difference |
title | An Algorithm Predicting
the Optimal Mechanical Response
of Electronic Energy Difference |
title_full | An Algorithm Predicting
the Optimal Mechanical Response
of Electronic Energy Difference |
title_fullStr | An Algorithm Predicting
the Optimal Mechanical Response
of Electronic Energy Difference |
title_full_unstemmed | An Algorithm Predicting
the Optimal Mechanical Response
of Electronic Energy Difference |
title_short | An Algorithm Predicting
the Optimal Mechanical Response
of Electronic Energy Difference |
title_sort | algorithm predicting
the optimal mechanical response
of electronic energy difference |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10536970/ https://www.ncbi.nlm.nih.gov/pubmed/37669417 http://dx.doi.org/10.1021/acs.jctc.3c00490 |
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