Literature DB >> 29465231

Ab Initio Nonadiabatic Quantum Molecular Dynamics.

Basile F E Curchod1, Todd J Martínez2,3.   

Abstract

The Born-Oppenheimer approximation underlies much of chemical simulation and provides the framework defining the potential energy surfaces that are used for much of our pictorial understanding of chemical phenomena. However, this approximation breaks down when the dynamics of molecules in excited electronic states are considered. Describing dynamics when the Born-Oppenheimer approximation breaks down requires a quantum mechanical description of the nuclei. Chemical reaction dynamics on excited electronic states is critical for many applications in renewable energy, chemical synthesis, and bioimaging. Furthermore, it is necessary in order to connect with many ultrafast pump-probe spectroscopic experiments. In this review, we provide an overview of methods that can describe nonadiabatic dynamics, with emphasis on those that are able to simultaneously address the quantum mechanics of both electrons and nuclei. Such ab initio quantum molecular dynamics methods solve the electronic Schrödinger equation alongside the nuclear dynamics and thereby avoid the need for precalculation of potential energy surfaces and nonadiabatic coupling matrix elements. Two main families of methods are commonly employed to simulate nonadiabatic dynamics in molecules: full quantum dynamics, such as the multiconfigurational time-dependent Hartree method, and classical trajectory-based approaches, such as trajectory surface hopping. In this review, we describe a third class of methods that is intermediate between the two: Gaussian basis set expansions built around trajectories.

Entities:  

Year:  2018        PMID: 29465231     DOI: 10.1021/acs.chemrev.7b00423

Source DB:  PubMed          Journal:  Chem Rev        ISSN: 0009-2665            Impact factor:   60.622


  29 in total

1.  Transient absorption spectroscopy using high harmonic generation: a review of ultrafast X-ray dynamics in molecules and solids.

Authors:  Romain Geneaux; Hugo J B Marroux; Alexander Guggenmos; Daniel M Neumark; Stephen R Leone
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2019-05-20       Impact factor: 4.226

Review 2.  From quantum to subcellular scales: multi-scale simulation approaches and the SIRAH force field.

Authors:  Matías R Machado; Ari Zeida; Leonardo Darré; Sergio Pantano
Journal:  Interface Focus       Date:  2019-04-19       Impact factor: 3.906

Review 3.  Quantum Mechanical and Molecular Mechanics Modeling of Membrane-Embedded Rhodopsins.

Authors:  Mikhail N Ryazantsev; Dmitrii M Nikolaev; Andrey V Struts; Michael F Brown
Journal:  J Membr Biol       Date:  2019-09-30       Impact factor: 1.843

4.  TeraChem: Accelerating electronic structure and ab initio molecular dynamics with graphical processing units.

Authors:  Stefan Seritan; Christoph Bannwarth; B Scott Fales; Edward G Hohenstein; Sara I L Kokkila-Schumacher; Nathan Luehr; James W Snyder; Chenchen Song; Alexey V Titov; Ivan S Ufimtsev; Todd J Martínez
Journal:  J Chem Phys       Date:  2020-06-14       Impact factor: 3.488

5.  Machine Learning for Electronically Excited States of Molecules.

Authors:  Julia Westermayr; Philipp Marquetand
Journal:  Chem Rev       Date:  2020-11-19       Impact factor: 60.622

Review 6.  NAST: Nonadiabatic Statistical Theory Package for Predicting Kinetics of Spin-Dependent Processes.

Authors:  Vsevolod D Dergachev; Mitra Rooein; Ilya D Dergachev; Aleksandr O Lykhin; Robert C Mauban; Sergey A Varganov
Journal:  Top Curr Chem (Cham)       Date:  2022-02-24

7.  Mechanistic analysis of light-driven overcrowded alkene-based molecular motors by multiscale molecular simulations.

Authors:  Mudong Feng; Michael K Gilson
Journal:  Phys Chem Chem Phys       Date:  2021-03-25       Impact factor: 3.676

8.  Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.

Authors:  John A Keith; Valentin Vassilev-Galindo; Bingqing Cheng; Stefan Chmiela; Michael Gastegger; Klaus-Robert Müller; Alexandre Tkatchenko
Journal:  Chem Rev       Date:  2021-07-07       Impact factor: 60.622

9.  Born-Oppenheimer approximation in optical cavities: from success to breakdown.

Authors:  Csaba Fábri; Gábor J Halász; Lorenz S Cederbaum; Ágnes Vibók
Journal:  Chem Sci       Date:  2020-11-13       Impact factor: 9.825

10.  Nonadiabatic dynamics in multidimensional complex potential energy surfaces.

Authors:  Fábris Kossoski; Mario Barbatti
Journal:  Chem Sci       Date:  2020-09-07       Impact factor: 9.825

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