Login / Signup

On the identity of the identity operator in nonadiabatic linearized semiclassical dynamics.

Maximilian A C SallerAaron KellyJeremy O Richardson
Published in: The Journal of chemical physics (2019)
Simulating the nonadiabatic dynamics of condensed-phase systems continues to pose a significant challenge for quantum dynamics methods. Approaches based on sampling classical trajectories within the mapping formalism, such as the linearized semiclassical initial value representation (LSC-IVR), can be used to approximate quantum correlation functions in dissipative environments. Such semiclassical methods however commonly fail in quantitatively predicting the electronic-state populations in the long-time limit. Here we present a suggestion to minimize this difficulty by splitting the problem into two parts, one of which involves the identity and treating this operator by quantum-mechanical principles rather than with classical approximations. This strategy is applied to numerical simulations of spin-boson model systems, showing its potential to drastically improve the performance of LSC-IVR and related methods with no change in the equations of motion or the algorithm in general, but rather by simply using different functional forms of the observables.
Keyphrases
  • molecular dynamics
  • density functional theory
  • monte carlo
  • high resolution
  • deep learning
  • machine learning
  • depressive symptoms
  • single molecule
  • neural network
  • room temperature
  • quantum dots