Machine Learning Exciton Hamiltonians in Light-Harvesting Complexes
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DOI: 10.1021/acs.jctc.2c01044
Abstract: We propose a machine learning (ML)-based strategy for an inexpensive calculation of excitonic properties of light-harvesting complexes (LHCs). The strategy uses classical molecular dynamics simulations of LHCs in their natural environment in combination with ML… read more here.
Keywords: learning exciton; harvesting complexes; machine learning; exciton hamiltonians ... See more keywords