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We developed an interface linking PySpawn and OpenMolcas for advanced nonadiabatic dynamics simulations. This open-source tool enhances excited-state calculations and studies ultrafast molecular processes.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Molecular Dynamics

Background:

  • Nonadiabatic dynamics simulations are crucial for understanding excited-state processes in molecules.
  • Accurate electronic structure calculations are essential for reliable dynamics simulations.
  • Existing software packages often lack seamless integration for advanced simulations.

Purpose of the Study:

  • To introduce a novel interface between PySpawn and OpenMolcas.
  • To enable high-accuracy excited-state calculations within ab initio multiple spawning (AIMS) dynamics.
  • To facilitate the study of ultrafast molecular processes with advanced theoretical methods.

Main Methods:

  • Developed an interface connecting PySpawn (for AIMS dynamics) and OpenMolcas (for CASPT2 electronic structure).
  • Leveraged PySpawn's Python implementation and analysis tools.
  • Utilized OpenMolcas's cutting-edge CASPT2 calculations, including analytical gradients and various flavors.

Main Results:

  • The interface enables the combined use of AIMS dynamics and high-accuracy CASPT2 calculations.
  • Demonstrated the interface's utility by studying the ultrafast relaxation of fulvene from S1 to S0.
  • Observed that the choice of CASPT2 flavor significantly influences the dynamics, highlighting the need for careful selection.

Conclusions:

  • The new interface provides a unique, open-source, and free tool for nonadiabatic dynamics.
  • This integration advances the application of AIMS dynamics with sophisticated excited-state methods.
  • The study opens avenues for deeper investigations into the impact of CASPT2 formulations on molecular dynamics.