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A windowed mean trajectory approximation for condensed phase dynamics
1Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA and Department of Chemistry, University of California, Berkeley, California 94720, USA.
We developed a new trajectory-based method to approximate quantum dynamics in condensed systems. This accurate and robust approach shows excellent agreement with exact methods, especially for dissipative systems.
Area of Science:
- Chemical Physics
- Quantum Dynamics
- Computational Chemistry
Background:
- Accurate simulation of quantum dynamics in condensed phase systems is crucial for understanding chemical processes.
- Existing semiclassical methods often struggle with accuracy, particularly at low temperatures and for off-diagonal density matrix elements.
Purpose of the Study:
- To develop a novel semiclassical method for approximating the dynamical propagation of density matrices in condensed phase systems.
- To rigorously test the accuracy and robustness of the proposed method against established models and numerically exact solutions.
Main Methods:
- A trajectory-based quasi-classical method is proposed, building upon the optimized mean trajectory approximation.
- The method incorporates ideas from filtering trajectory methods for improved density matrix propagation.
- The approach is validated using multistate electronic models, spin-boson models, and the Fenna-Matthews-Olson complex.
Main Results:
- The new method demonstrates significant improvement or comparable performance to existing semiclassical methods for dissipative systems, especially at low temperatures.
- For scattering models, the method exhibits limitations similar to mean-field propagation schemes.
- Results show excellent agreement with the numerically exact hierarchical equations of motion across various parameter regimes.
Conclusions:
- The proposed trajectory-based quasi-classical method offers a robust and accurate approach for simulating quantum dynamics in condensed phase systems.
- The method shows particular promise for studying dissipative systems and provides a valuable tool for computational chemistry and chemical physics.
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