Deep transfer learning for predicting frontier orbital energies of organic materials using small data and its application to porphyrin photocatalysts
Author:
Affiliation:
1. College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China
Abstract
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2023/CP/D3CP00917C
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