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  4. Scalable High-Performance Algorithm for the Simulation of Exciton Dynamics. Application to the Light-Harvesting Complex II in the Presence of Resonant Vibrational Modes

Scalable High-Performance Algorithm for the Simulation of Exciton Dynamics. Application to the Light-Harvesting Complex II in the Presence of Resonant Vibrational Modes

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Date
2014
Author(s)
Kreisbeck, Christoph
Kramer, Tobias
DOI
10.1021/ct500629s
Publisher
American Chemical Society (ACS)
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Citation
Kreisbeck, Christoph, Tobias Kramer, and Alán Aspuru-Guzik. 2014. “Scalable High-Performance Algorithm for the Simulation of Exciton Dynamics. Application to the Light-Harvesting Complex II in the Presence of Resonant Vibrational Modes.” Journal of Chemical Theory and Computation 10 (9) (September 9): 4045–4054. doi:10.1021/ct500629s.
Abstract
The accurate simulation of excitonic energy transfer in molecular complexes with coupled electronic and vibrational degrees of freedom is essential for comparing excitonic system parameters obtained from ab initio methods with measured time-resolved spectra. Several exact methods for computing the exciton dynamics within a density-matrix formalism are known but are restricted to small systems with less than 10 sites due to their computational complexity. To study the excitonic energy transfer in larger systems, we adapt and extend the exact hierarchical equation of motion (HEOM) method to various high-performance many-core platforms using the Open Compute Language (OpenCL). For the light-harvesting complex II (LHC II) found in spinach, the HEOM results deviate from predictions of approximate theories and clarify the time scale of the transfer process. We investigate the impact of resonantly coupled vibrations on the relaxation and show that the transfer does not rely on a fine-tuning of specific modes.
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This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service
URI
http://nrs.harvard.edu/urn-3:HUL.InstRepos:29304546
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FAS Scholarly Articles
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