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Gareth John Moore, Olivier Bardagot and Natalie Banerji

Deep Transfer Learning: A Fast and Accurate Tool to Predict the Energy Levels of Donor Molecules for Organic Photovoltaics

Published in: Advanced theory and simulations 23.02.2022

Title	Deep Transfer Learning: A Fast and Accurate Tool to Predict the Energy Levels of Donor Molecules for Organic Photovoltaics
Involved	Gareth John Moore (Verfasser) Olivier Bardagot (Verfasser) Natalie Banerji (Verfasser)
Published in	Advanced theory and simulations 23.02.2022
Published	23.02.2022
Language	Englisch
Country	Deutschland
Subject	convolutional neural network deep learning density functional theory organic photovoltaics transfer learning
Persistent identifier	urn:nbn:de:101:1-2022022314192234660290 (URN) 10.1002/adts.202100511 (DOI)
Record ID	1252428049

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Deep Transfer Learning: A Fast and Accurate Tool to Predict the Energy Levels of Donor Molecules for Organic Photovoltaics