Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics
Exploring excitation energy transfer (EET) in light-harvesting complexes (LHCs) is essential for understanding the natural processes and design of highly-efficient photovoltaic devices. LHCs are open systems, where quantum effects may play a crucial role for almost perfect utilization of solar energ...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Research
2022
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| Online Access: | View Fulltext in Publisher |