Cargando…

TAO-DFT-Based Ab Initio Molecular Dynamics

Recently, AIMD (ab initio molecular dynamics) has been extensively employed to explore the dynamical information of electronic systems. However, it remains extremely challenging to reliably predict the properties of nanosystems with a radical nature using conventional electronic structure methods (e...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Shaozhi, Chai, Jeng-Da
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674663/
https://www.ncbi.nlm.nih.gov/pubmed/33251184
http://dx.doi.org/10.3389/fchem.2020.589432
_version_ 1783611552305250304
author Li, Shaozhi
Chai, Jeng-Da
author_facet Li, Shaozhi
Chai, Jeng-Da
author_sort Li, Shaozhi
collection PubMed
description Recently, AIMD (ab initio molecular dynamics) has been extensively employed to explore the dynamical information of electronic systems. However, it remains extremely challenging to reliably predict the properties of nanosystems with a radical nature using conventional electronic structure methods (e.g., Kohn-Sham density functional theory) due to the presence of static correlation. To address this challenge, we combine the recently formulated TAO-DFT (thermally-assisted-occupation density functional theory) with AIMD. The resulting TAO-AIMD method is employed to investigate the instantaneous/average radical nature and infrared spectra of n-acenes containing n linearly fused benzene rings (n = 2–8) at 300 K. According to the TAO-AIMD simulations, on average, the smaller n-acenes (up to n = 5) possess a nonradical nature, and the larger n-acenes (n = 6–8) possess an increasing radical nature, showing remarkable similarities to the ground-state counterparts at 0 K. Besides, the infrared spectra of n-acenes obtained with the TAO-AIMD simulations are in qualitative agreement with the existing experimental data.
format Online
Article
Text
id pubmed-7674663
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-76746632020-11-27 TAO-DFT-Based Ab Initio Molecular Dynamics Li, Shaozhi Chai, Jeng-Da Front Chem Chemistry Recently, AIMD (ab initio molecular dynamics) has been extensively employed to explore the dynamical information of electronic systems. However, it remains extremely challenging to reliably predict the properties of nanosystems with a radical nature using conventional electronic structure methods (e.g., Kohn-Sham density functional theory) due to the presence of static correlation. To address this challenge, we combine the recently formulated TAO-DFT (thermally-assisted-occupation density functional theory) with AIMD. The resulting TAO-AIMD method is employed to investigate the instantaneous/average radical nature and infrared spectra of n-acenes containing n linearly fused benzene rings (n = 2–8) at 300 K. According to the TAO-AIMD simulations, on average, the smaller n-acenes (up to n = 5) possess a nonradical nature, and the larger n-acenes (n = 6–8) possess an increasing radical nature, showing remarkable similarities to the ground-state counterparts at 0 K. Besides, the infrared spectra of n-acenes obtained with the TAO-AIMD simulations are in qualitative agreement with the existing experimental data. Frontiers Media S.A. 2020-11-05 /pmc/articles/PMC7674663/ /pubmed/33251184 http://dx.doi.org/10.3389/fchem.2020.589432 Text en Copyright © 2020 Li and Chai. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Li, Shaozhi
Chai, Jeng-Da
TAO-DFT-Based Ab Initio Molecular Dynamics
title TAO-DFT-Based Ab Initio Molecular Dynamics
title_full TAO-DFT-Based Ab Initio Molecular Dynamics
title_fullStr TAO-DFT-Based Ab Initio Molecular Dynamics
title_full_unstemmed TAO-DFT-Based Ab Initio Molecular Dynamics
title_short TAO-DFT-Based Ab Initio Molecular Dynamics
title_sort tao-dft-based ab initio molecular dynamics
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674663/
https://www.ncbi.nlm.nih.gov/pubmed/33251184
http://dx.doi.org/10.3389/fchem.2020.589432
work_keys_str_mv AT lishaozhi taodftbasedabinitiomoleculardynamics
AT chaijengda taodftbasedabinitiomoleculardynamics