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Royal Society of Chemistry, Physical Chemistry Chemical Physics, 5(25), p. 3651-3665, 2023

DOI: 10.1039/d2cp04960k

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Determining interchromophore effects for energy transport in molecular networks using machine-learning algorithms

Journal article published in 2023 by Brian S. Rolczynski ORCID, Sebastián A. Díaz ORCID, Young C. Kim, Divita Mathur ORCID, William P. Klein, Igor L. Medintz ORCID, Joseph S. Melinger ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Structural DNA nanotechnology provides structural control in molecular networks. Machine-learning algorithms are used to understand energy-transport in these tightly controlled systems.