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Published on: December 4, 2017
Hierarchy of effective modes for the dynamics through conical intersections in macrosystems
Etienne Gindensperger1, Horst Köppel, Lorenz S Cederbaum
1Theoretische Chemie, Universität Heidelberg, Im Neuenheimer Feld 229, D-69120 Heidelberg, Germany.
This study extends effective-mode theory for large systems undergoing conical intersection dynamics. An iterative approach refines calculations for more accurate spectra and longer-time dynamics predictions.
Area of Science:
- Quantum Chemistry
- Theoretical Chemistry
- Chemical Physics
Background:
- Effective-mode theory simplifies complex molecular dynamics.
- Conical intersections are crucial for non-adiabatic processes.
- Macrosystems present challenges due to numerous nuclear degrees of freedom.
Purpose of the Study:
- To extend effective-mode theory for simulating short-time dynamics in macrosystems with conical intersections.
- To develop an iterative scheme for constructing a hierarchy of effective modes.
- To enable accurate calculation of low-resolution spectra and dynamics over extended time scales.
Main Methods:
- Decomposition of macrosystems into system and environment parts.
- Iterative construction of additional triplets of effective modes.
- Application of the extended effective-mode theory to numerical examples.
Main Results:
- The extended theory accurately captures short-time dynamics and low-resolution spectra using a minimal set of effective modes.
- The iterative scheme allows for systematic improvement of accuracy by including more effective mode triplets.
- Simulations with increasing numbers of effective modes predict dynamics for progressively longer times and yield more resolved spectra.
Conclusions:
- The proposed iterative hierarchy of effective modes provides a powerful extension of the effective-mode theory.
- This approach enables accurate and efficient simulation of complex quantum dynamics in large molecular systems.
- The method is versatile for calculating both spectral properties and time-dependent dynamics.
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