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Path Integrals for Nonadiabatic Dynamics: Multistate Ring Polymer Molecular Dynamics.

Nandini Ananth1

  • 1Department of Chemistry and Chemical Biology, Cornell University, Ithaca, New York, USA;

Annual Review of Physical Chemistry
|January 26, 2022
PubMed
Summary
This summary is machine-generated.

This review explores path-integral methods for simulating nonadiabatic dynamics using classical molecular dynamics. Multistate ring polymer methods offer a promising approach for calculating thermal correlation functions.

Keywords:
excited-state dynamicsmapping variablesnonadiabatic dynamicspath integralsreal-time correlation functionssemiclassical theory

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Area of Science:

  • Chemical Physics
  • Quantum Dynamics
  • Computational Chemistry

Background:

  • Simulating nonadiabatic dynamics is crucial for understanding chemical reactions.
  • Traditional methods struggle with accuracy and computational cost.
  • Accurate modeling requires incorporating quantum effects of nuclei and electronic states.

Purpose of the Study:

  • To review recent path-integral-based methods for condensed-phase nonadiabatic dynamics.
  • To present multistate ring polymer molecular dynamics (RPMD) methods.
  • To discuss the applications and limitations of these semiclassical techniques.

Main Methods:

  • Utilizing path-integral-based methods.
  • Employing classical molecular dynamics trajectories in an extended phase space.
  • Deriving an exact, continuous, Cartesian variable path-integral representation for the canonical partition function.
  • Developing multistate ring polymer molecular dynamics (RPMD) for thermal correlation functions.

Main Results:

  • Established an exact statistical foundation for simulating coupled electronic-nuclear systems.
  • Developed multistate RPMD methods for approximate real-time thermal correlation functions.
  • Demonstrated the promise and successful applications of these novel simulation techniques.

Conclusions:

  • Path-integral-based methods, particularly multistate RPMD, show significant promise for nonadiabatic dynamics.
  • These methods offer a computationally tractable route to study complex quantum systems.
  • Further research is needed to fully explore their capabilities and address limitations.