Accelerating the generation and discovery of high-performance donor materials for organic solar cells by deep learning-Reference-Cited by-同舟云学术

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Accelerating the generation and discovery of high-performance donor materials for organic solar cells by deep learning

Published:2024 Issue:33 Volume:12 Page:21813-21823
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Sun Jinyu¹,Li Dongxu¹,Wang Yue¹,Xie Ting¹,Zou Yingping¹^ORCID,Lu Hongmei¹^ORCID,Zhang Zhimin¹^ORCID

Affiliation:

1. College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China

Abstract

A deep learning-based framework (DeepDonor) has been developed to find high-performance donor materials. The experimental PCEs of devices based on two discovered candidates were 16.27% and 15.07%.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/TA/D4TA03944K

Reference55 articles.

1. Design Principles and Top Non-Fullerene Acceptor Candidates for Organic Photovoltaics

2. Organic solar cells based on non-fullerene acceptors

3. Efficient Tandem Organic Photovoltaics with Tunable Rear Sub-cells

4. Organic and solution-processed tandem solar cells with 17.3% efficiency

5. High‐Performance Small Molecule Organic Solar Cells Enabled by a Symmetric‐Asymmetric Alloy Acceptor with a Broad Composition Tolerance

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