Deep Learning for Optoelectronic Properties of Organic Semiconductors-Reference-Cited by-同舟云学术

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Deep Learning for Optoelectronic Properties of Organic Semiconductors

Published:2020-03-11 Issue:13 Volume:124 Page:7048-7060
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Lu Chengqiang¹,Liu Qi¹,Sun Qiming²,Hsieh Chang-Yu³,Zhang Shengyu³,Shi Liang⁴^ORCID,Lee Chee-Kong²

Affiliation:

1. Anhui Province Key Lab of Big Data Analysis and Application, University of Science and Technology of China, Hefei, Anhui 230026, China

2. Tencent America, Palo Alto, California 94306, United States

3. Tencent, Shenzhen, Guangdong 518057, China

4. Chemistry and Chemical Biology, University of California, Merced, California 95343, United States

Funder

China Association for Science and Technology

Youth Innovation Promotion Association of the Chinese Academy of Sciences

University of California

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.0c00329

Reference136 articles.

1. Organic Optoelectronic Materials: Mechanisms and Applications

2. Molecular Semiconductors in Organic Photovoltaic Cells

3. Organic Semiconductors and their Applications in Photovoltaic Devices

4. Recent Advances in Bulk Heterojunction Polymer Solar Cells

5. Light Harvesting for Organic Photovoltaics

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