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Nonadiabatic molecular dynamics simulations based on time-dependent density functional tight-binding method.

Xiaoyan Wu1, Shizheng Wen2, Huajing Song3

  • 1Shenzhen JL Computational Science and Applied Research Institute, Longhua District, Shenzhen 518110, China.

The Journal of Chemical Physics
|September 1, 2022
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Summary
This summary is machine-generated.

This study introduces an efficient nonadiabatic molecular dynamics (NAMD) method using time-dependent density functional tight-binding (TDDFTB) theory. The new approach accurately simulates excited-state dynamics, offering a faster alternative to existing methods for materials science.

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Area of Science:

  • Computational Chemistry
  • Theoretical Chemistry
  • Materials Science

Background:

  • Nonadiabatic excited state molecular dynamics are crucial for understanding photophysical and photochemical processes like exciton dynamics and charge transport.
  • Accurate simulation of these dynamics is essential for designing new materials with specific light-interacting properties.

Purpose of the Study:

  • To develop an efficient and accurate nonadiabatic molecular dynamics (NAMD) simulation method.
  • To improve computational efficiency in simulating excited-state dynamics.

Main Methods:

  • Utilized time-dependent density functional tight-binding (TDDFTB) theory for adiabatic electronic structure calculations.
  • Employed the trajectory surface hopping algorithm to treat nonadiabatic effects.
  • Derived analytical expressions for nonadiabatic couplings and used molecular orbital overlaps for faster calculations.

Main Results:

  • Developed an efficient NAMD method based on TDDFTB.
  • Implemented analytical nonadiabatic couplings and optimized calculations using molecular orbital overlaps.
  • Demonstrated the method's accuracy by simulating the photoinduced dynamics of benzene, showing good agreement with more computationally expensive methods.

Conclusions:

  • The proposed TDDFTB-based NAMD method is computationally efficient and accurate for simulating excited-state dynamics.
  • This methodology serves as a valuable tool for predicting photophysical and photochemical properties of complex materials.
  • The implementation in NEXMD software enhances accuracy and handles complex crossing scenarios.