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Low-Scaling Excited State Calculation Using the Block Interaction Product State.

Ke WangZhaoxuan XieZhen LuoHai-Bo Ma
Published in: The journal of physical chemistry letters (2022)
We develop an automatic and efficient scheme for the accurate construction of the bases for excitonic models, which can enable "black-box" excited state structure calculations for large molecular systems. These new and optimized bases, which are named the block interaction product state (BIPS), can be expressed as the direct products of the local states for each chromophore. Each chromophore's local states are selected by diagonalization of its reduced density matrix, which is obtained by quantum chemical calculation of the small subsystem composed of the chromophore and its nearest neighbors. We implemented the BIPS framework with fragment-based calculations considering two- and three-body interactions. Test calculations for eight different molecular aggregates demonstrate that this framework provides an accurate description of not only the excitation energies but also the first-order wave function properties (dipole moment and transition dipole moment) of the low-lying excited states at a low-scaling computational cost.
Keyphrases
  • density functional theory
  • monte carlo
  • molecular dynamics
  • molecular dynamics simulations
  • high resolution
  • energy transfer
  • transcription factor
  • machine learning
  • binding protein