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Highly efficient surface hopping dynamics using a linear vibronic coupling model.

Felix Plasser1, Sandra Gómez, Maximilian F S J Menger

  • 1Department of Chemistry, Loughborough University, Loughborough, LE11 3TU, UK. F.Plasser@lboro.ac.uk.

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This summary is machine-generated.

We developed an efficient linear vibronic coupling (LVC) model for surface hopping dynamics. This method accurately predicts molecular photodynamics, reducing computational cost by 1000x and enabling new benchmarks.

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Area of Science:

  • Computational Chemistry
  • Theoretical Chemistry
  • Photochemistry

Background:

  • Simulating molecular photodynamics is crucial for understanding chemical reactions.
  • Existing methods like surface hopping can be computationally expensive.
  • Accurate modeling requires capturing electron-vibrational interactions.

Purpose of the Study:

  • To implement an efficient linear vibronic coupling (LVC) model within surface hopping dynamics.
  • To provide a blackbox parameterization for the LVC model.
  • To enable faster and more accurate simulations of molecular photodynamics and benchmarking.

Main Methods:

  • Implementation of the LVC model in a surface hopping framework.
  • Development of blackbox utilities for LVC model parameterization.
  • Application to SO2, adenine, 2-aminopurine, 2-thiocytosine, and 5-azacytosine.

Main Results:

  • Achieved a 1000x reduction in computational cost for SO2 photodynamics compared to on-the-fly simulations.
  • Accurately reproduced SO2 absorption spectrum beyond the Condon approximation and intersystem crossing timescales.
  • Correctly predicted ultrafast decay in adenine versus extended lifetime in 2-aminopurine.
  • Successfully predicted intersystem crossing in 2-thiocytosine and its absence in 5-azacytosine.

Conclusions:

  • The LVC model offers a highly efficient approach for qualitative and semi-quantitative photodynamics simulations.
  • This method provides a valuable tool for benchmarking surface hopping computations.
  • The model demonstrates broad applicability across various molecular systems, including nucleobases.