Experiment‐Oriented Machine Learning of Polymer:Non‐Fullerene Organic Solar Cells-Reference-Cited by-同舟云学术

Experiment‐Oriented Machine Learning of Polymer:Non‐Fullerene Organic Solar Cells

Published:2021-02-25 Issue:23 Volume:31 Page:2011168
ISSN:1616-301X
Container-title:Advanced Functional Materials
language:en
Short-container-title:Adv. Funct. Mater.

Author:

Kranthiraja Kakaraparthi¹^ORCID,Saeki Akinori¹²³^ORCID

Affiliation:

1. Department of Applied Chemistry Graduate School of Engineering Osaka University 2‐1 Yamadaoka Suita Osaka 5650871 Japan

2. Innovative Catalysis Science Division (ICS) Institute for Open and Transdisciplinary Research Initiatives (OTRI) Osaka University 1‐1 Yamadaoka Suita Osaka 5650871 Japan

3. Precursory Research for Embryonic Science and Technology (PRESTO) Japan Science and Technology Agency (JST) 4‐1‐8 Honcho Kawaguchi Saitama 332012 Japan

Funder

Japan Science and Technology Agency

Japan Society for the Promotion of Science

Precursory Research for Embryonic Science and Technology

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adfm.202011168

Reference77 articles.

1. Machine learning for renewable energy materials