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We developed an efficient ab initio method using the classical path approximation (CPA) to simulate polariton transport. This approach accurately models light-matter interactions, reducing computational cost for studying energy flow in hybrid systems.

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Area of Science:

  • Quantum dynamics
  • Materials science
  • Computational chemistry

Background:

  • Simulating polariton transport requires computationally expensive quantum dynamics of many electronic degrees of freedom.
  • Fully ab initio dynamics simulations are often intractable due to high computational cost.

Purpose of the Study:

  • To present a novel ab initio framework for simulating polariton transport dynamics.
  • To establish the classical path approximation (CPA) as an efficient method for polaritonics.

Main Methods:

  • Utilized the classical path approximation (CPA) to remove the need for excited-state nuclear gradients.
  • Developed an ab initio framework for polariton transport dynamics simulations.
  • Performed benchmark comparisons with full excited-state force evaluations.

Main Results:

  • Demonstrated CPA's suitability for polaritonic systems due to vanishing excited-state forces from light-matter coupling.
  • Achieved excellent agreement between CPA and full calculations for polariton group velocities and mean-squared displacements.
  • Reproduced experimental trends in BODIPY molecules using ab initio CPA simulations.

Conclusions:

  • The classical path approximation (CPA) is a computationally efficient tool for ab initio simulations of polariton transport.
  • CPA accurately captures key physical trends in hybrid light-matter systems.
  • This framework facilitates investigations of transport and energy flow in polaritonic systems.