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Fewest Switches Surface Hopping with Decoherence in the Marcus Inverted Regime: Correct Rates but Wrong Thermal
Manas Nagda1, Priyam Kumar De1, Amber Jain1
1Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
Augmented-fewest switches surface hopping (AFSSH) accurately calculates rate constants for nonadiabatic systems but struggles with thermal populations in the Marcus inverted regime due to self-consistency issues.
Area of Science:
- Quantum dynamics
- Computational chemistry
- Nonadiabatic systems
Background:
- Fewest switches surface hopping (FSSH) is a standard method for simulating nonadiabatic dynamics.
- FSSH typically provides accurate rate constants for the spin-Boson model, often within a factor of two of exact results.
- Augmented-FSSH (AFSSH) incorporates decoherence corrections into the FSSH method.
Purpose of the Study:
- To investigate the accuracy of AFSSH in the deep inverted Marcus regime.
- To analyze the reasons behind AFSSH's performance regarding rate constants and thermal populations.
- To derive an analytical expression for the quantum correction factor in AFSSH simulations.
Main Methods:
- Simulation of nonadiabatic systems using the augmented-FSSH (AFSSH) method.
- Analytical derivation to understand the behavior of AFSSH in the Marcus inverted regime.
- Comparison of AFSSH results with established theoretical predictions.
Main Results:
- AFSSH yields reasonably accurate rate constants in the deep inverted Marcus regime.
- AFSSH produces incorrect thermal populations over a wide range of parameters in this regime.
- The study identifies a resonance between time derivative coupling and exothermicity as the cause for accurate rate constants.
- A self-consistency issue is identified as the reason for incorrect thermal populations.
Conclusions:
- While AFSSH provides accurate rate constants, its thermal populations are unreliable in the deep inverted Marcus regime.
- The analytical derivation clarifies the strengths and weaknesses of AFSSH in specific nonadiabatic scenarios.
- The derived quantum correction factor offers insights for improving AFSSH simulations in the Marcus inverted regime.
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