Property Prediction of Organic Donor Molecules for Photovoltaic Applications Using Extremely Randomized Trees-Reference-Cited by-同舟云学术

Property Prediction of Organic Donor Molecules for Photovoltaic Applications Using Extremely Randomized Trees

Published:2019-09-10 Issue:11-12 Volume:38 Page:1900038
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Paul Arindam¹^ORCID,Furmanchuk Alona²,Liao Wei‐keng¹,Choudhary Alok¹,Agrawal Ankit¹

Affiliation:

1. Department of Electrical and Computer Engineering Northwestern University Evanston IL, 60208 USA

2. Institute for Public Health and Medicine, Feinberg School of Medicine, Center for Health Information Partnerships Northwestern University Chicago IL, 60611 USA

Funder

U.S. Department of Energy

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/minf.201900038

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4. Theoretical study of two-photon absorption properties and up-conversion efficiency of new symmetric organic π-conjugated molecules for photovoltaic devices

5. First principles investigations of vinazene molecule and molecular crystal: a prospective candidate for organic photovoltaic applications

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