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Title: Machine learning for quantum dynamics: deep learning of excitation energy transfer properties

Understanding the relationship between the structure of light-harvesting systems and their excitation energy transfer properties is of fundamental importance in many applications including the development of next generation photovoltaics.
Authors:
 [1] ;  [1] ; ORCiD logo [1]
  1. Department of Chemistry and Chemical Biology, Harvard University, Cambridge, USA
Publication Date:
Grant/Contract Number:
SC0001088
Type:
Published Article
Journal Name:
Chemical Science
Additional Journal Information:
Journal Name: Chemical Science Journal Volume: 8 Journal Issue: 12; Journal ID: ISSN 2041-6520
Publisher:
Royal Society of Chemistry (RSC)
Sponsoring Org:
USDOE
Country of Publication:
United Kingdom
Language:
English
OSTI Identifier:
1409485

Häse, Florian, Kreisbeck, Christoph, and Aspuru-Guzik, Alán. Machine learning for quantum dynamics: deep learning of excitation energy transfer properties. United Kingdom: N. p., Web. doi:10.1039/C7SC03542J.
Häse, Florian, Kreisbeck, Christoph, & Aspuru-Guzik, Alán. Machine learning for quantum dynamics: deep learning of excitation energy transfer properties. United Kingdom. doi:10.1039/C7SC03542J.
Häse, Florian, Kreisbeck, Christoph, and Aspuru-Guzik, Alán. 2017. "Machine learning for quantum dynamics: deep learning of excitation energy transfer properties". United Kingdom. doi:10.1039/C7SC03542J.
@article{osti_1409485,
title = {Machine learning for quantum dynamics: deep learning of excitation energy transfer properties},
author = {Häse, Florian and Kreisbeck, Christoph and Aspuru-Guzik, Alán},
abstractNote = {Understanding the relationship between the structure of light-harvesting systems and their excitation energy transfer properties is of fundamental importance in many applications including the development of next generation photovoltaics.},
doi = {10.1039/C7SC03542J},
journal = {Chemical Science},
number = 12,
volume = 8,
place = {United Kingdom},
year = {2017},
month = {1}
}