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Fourth-order perturbative model for photoinduced internal conversion processes.

Brian P Molesky1, Andrew M Moran

  • 1Department of Chemistry, University of North Carolina at Chapel Hill , Chapel Hill, North Carolina 27599, United States.

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|December 4, 2013
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Summary
This summary is machine-generated.

This study introduces a new model for internal conversion (IC), a process converting light energy to heat. The model explains population decay shapes, crucial for understanding molecular dynamics.

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Area of Science:

  • Photochemistry
  • Chemical Physics
  • Molecular Dynamics

Background:

  • Internal conversion (IC) rapidly converts electronic excitation energy to heat in molecular systems.
  • Traditional kinetic theories struggle with IC due to simultaneous electronic and nuclear relaxation.
  • Understanding IC is vital for biological and synthetic molecular functionalities.

Purpose of the Study:

  • To develop a novel perturbative fourth-order phenomenological model for photoinduced IC.
  • To incorporate finite laser bandwidths and nonequilibrium nuclear motions into IC modeling.
  • To provide a framework for analyzing IC dynamics without requiring first-principles computational expertise.

Main Methods:

  • A perturbative fourth-order phenomenological model was developed.
  • The model incorporates effects of finite laser bandwidths and nonequilibrium nuclear motions.
  • Parameters are obtainable through standard spectroscopic measurements.

Main Results:

  • The model was applied to internal conversion preceding electrocyclic ring-opening in α-terpinene.
  • The rate of wavepacket approach to excited-state degeneracy dictates population decay profile shape (Gaussian vs. exponential).
  • Wavepacket dynamics, promoting mode displacement, and thermal fluctuations influence IC sensitivity but not the core physical picture.

Conclusions:

  • A new model simplifies the study of photoinduced internal conversion.
  • The wavepacket's approach to degeneracy is the key factor in population decay dynamics.
  • A wavepacket representation can visualize correlations between population transfer and energy dissipation.