Literature DB >> 31595910

A multi-layer energy-based fragment method for excited states and nonadiabatic dynamics.

Wen-Kai Chen1, Wei-Hai Fang, Ganglong Cui.   

Abstract

We developed a multi-layer energy-based fragment (MLEBF) method within the many-body energy expansion framework. It supplies accurate energies and gradients, and accurately reproduces excited-state topological structures. Moreover, MLEBF-based nonadiabatic dynamics simulations give nearly the same results compared with full ab initio ones. The present work could stimulate developing energy-based fragment methods for photochemistry of large systems.

Year:  2019        PMID: 31595910     DOI: 10.1039/c9cp04842a

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  2 in total

1.  Machine Learning for Electronically Excited States of Molecules.

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

2.  Modeling the heating and cooling of a chromophore after photoexcitation.

Authors:  Elizete Ventura; Silmar Andrade do Monte; Mariana T do Casal; Max Pinheiro; Josene Maria Toldo; Mario Barbatti
Journal:  Phys Chem Chem Phys       Date:  2022-04-20       Impact factor: 3.945

  2 in total

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