Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Automatic Prediction of Peak Optical Absorption Wavelengths in Molecules Using Convolutional Neural Networks

Published:2024-02-29 Issue:5 Volume:64 Page:1486-1501
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Jung Son Gyo¹²³^ORCID,Jung Guwon¹³⁴,Cole Jacqueline M.¹²³^ORCID

Affiliation:

1. Cavendish Laboratory, Department of Physics, University of Cambridge, J. J. Thomson Avenue, Cambridge CB3 0HE, U.K.

2. ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0QX, U.K.

3. Research Complex at Harwell, Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0FA, U.K.

4. Scientific Computing Department, STFC Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Didcot, Oxfordshire OX11 0QX, U.K.

Funder

Royal Academy of Engineering

BASF

Rutherford Appleton Laboratory

ISIS Neutron and Muon Source

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01792

Reference85 articles.

1. Correlation Between Structural and Optical Properties of Composite Polymer/Fullerene Films for Organic Solar Cells

2. Optical properties and limiting photocurrent of thin-film perovskite solar cells

3. High-Performance Organic Solar Cells with Spray-Coated Hole-Transport and Active Layers

4. Design and evaluation of conjugated polymers with polar side chains as electrode materials for electrochemical energy storage in aqueous electrolytes

5. Polymers with redox properties: materials for batteries, biosensors and more

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1. Machine-Learning Prediction of Curie Temperature from Chemical Compositions of Ferromagnetic Materials;Journal of Chemical Information and Modeling;2024-08-07

2. Research on defect detection technology of UAV power line based on deep learning;2024 IEEE 4th International Conference on Electronic Technology, Communication and Information (ICETCI);2024-05-24

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