Accelerated discovery of CO2 electrocatalysts using active machine learning-Reference-Cited by-同舟云学术

Accelerated discovery of CO2 electrocatalysts using active machine learning

Published:2020-05-13 Issue:7807 Volume:581 Page:178-183
ISSN:0028-0836
Container-title:Nature
language:en
Short-container-title:Nature

Author:

Zhong Miao,Tran Kevin,Min Yimeng,Wang Chuanhao,Wang Ziyun^ORCID,Dinh Cao-Thang^ORCID,De Luna Phil^ORCID,Yu Zongqian,Rasouli Armin Sedighian,Brodersen Peter,Sun Song^ORCID,Voznyy Oleksandr^ORCID,Tan Chih-Shan,Askerka Mikhail,Che Fanglin,Liu Min,Seifitokaldani Ali^ORCID,Pang Yuanjie,Lo Shen-Chuan,Ip Alexander,Ulissi Zachary,Sargent Edward H.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41586-020-2242-8.pdf

Reference33 articles.

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2. Schreier, M. et al. Solar conversion of CO2 to CO using Earth-abundant electrocatalysts prepared by atomic layer modification of CuO. Nat. Energy 2, 17087 (2017).

3. Dinh, C. et al. Sustained high-selectivity CO2 electroreduction to ethylene via hydroxide-mediated catalysis at an abrupt reaction interface. Science 360, 783–787 (2018).

4. Li, C. et al. Electroreduction of carbon monoxide to liquid fuel on oxide-derived nanocrystalline copper. Nature 508, 504–507 (2014).

5. Lu, Q. et al. A selective and efficient electrocatalyst for carbon dioxide reduction. Nat. Commun. 5, 3242 (2014).

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