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Formally exact simulations of mesoscale exciton dynamics in molecular materials.

Leonel VarveloJacob K LyndDoran I G B Raccah
Published in: Chemical science (2021)
Excited state carriers, such as excitons, can diffuse on the 100 nm to micron length scale in molecular materials but only delocalize over short length scales due to coupling between electronic and vibrational degrees-of-freedom. Here, we leverage the locality of excitons to adaptively solve the hierarchy of pure states equations (HOPS). We demonstrate that our adaptive HOPS (adHOPS) methodology provides a formally exact and size-invariant (i.e., ) scaling algorithm for simulating mesoscale quantum dynamics. Finally, we provide proof-of-principle calculations for exciton diffusion on linear chains containing up to 1000 molecules.
Keyphrases
  • density functional theory
  • molecular dynamics
  • energy transfer
  • monte carlo
  • molecular dynamics simulations
  • machine learning
  • single molecule
  • deep learning
  • low grade
  • quantum dots
  • neural network