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Electron Transfer Assisted by Vibronic Coupling from Multiple Modes.

Subhajyoti Chaudhuri1, Svante Hedström1,2, Dalvin D Méndez-Hernández1,3

  • 1Yale Energy Sciences Institute and Department of Chemistry, Yale University , New Haven, Connecticut 06520-8107, United States.

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Summary
This summary is machine-generated.

This study presents a new computational framework for predicting electron transfer rates, overcoming previous limitations by accounting for all molecular vibrations without empirical parameters. This advance offers accurate predictions across various chemical applications.

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Area of Science:

  • Physical Chemistry
  • Computational Chemistry
  • Chemical Physics

Background:

  • Electron transfer (ET) rate prediction is crucial for diverse applications like catalysis and solar energy.
  • Marcus-Jortner-Levich (MJL) theory provides a model for ET rates, but its integration with density functional theory (DFT) for first-principles prediction remains a challenge.
  • Previous methods often required approximations, such as using a single empirical frequency, limiting predictive accuracy.

Purpose of the Study:

  • To develop a robust first-principles methodology for calculating electron transfer rates modulated by molecular vibrations.
  • To overcome the computational cost associated with detailed vibrational analysis in ET rate calculations.
  • To establish a predictive DFT-MJL approach without empirical parameters.

Main Methods:

  • A novel framework combining density functional theory (DFT) with the Marcus-Jortner-Levich (MJL) equation.
  • Utilizing Monte Carlo sampling to evaluate the full MJL equation across the entire space of thermally accessible vibrational modes.
  • Avoiding approximations by considering the complete vibrational manifold, rather than condensing it to a single frequency.

Main Results:

  • The developed DFT-MJL approach accurately predicts electron transfer rates over four orders of magnitude (10^6 - 10^10 s^-1).
  • The method successfully circumvents the high computational cost typically associated with detailed vibrational mode analysis.
  • Individual contributions of vibrational modes to the ET rate were illustrated, offering insights into their interplay with electronic states.

Conclusions:

  • The presented framework provides accurate, parameter-free predictions of electron transfer rates, significantly advancing computational chemistry.
  • This methodology enables a deeper understanding of how multiple vibrational modes influence electron transfer processes.
  • The findings are broadly applicable to chemical systems where vibronic coupling governs electron transfer dynamics.