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Non-precious-metal catalysts for alkaline water electrolysis: operando characterizations, theoretical calculations, and recent advances

Wang, Jian, Gao, Yang, Kong, Hui, Kim, Juwon, Choi, Subin, Ciucci, Francesco, Hao, Yong, Yang, Shihe, Shao, Zongping, Lim, Jongwoo·2020·Chemical Society Reviews
DOI 10.1039/d0cs00575d
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Abstract

Advances of non-precious-metal catalysts for alkaline water electrolysis are reviewed, highlighting operando techniques and theoretical calculations in their development.

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Metadata

Authors
Wang, J., Gao, Y., Kong, H., Kim, J., Choi, S., Ciucci, F., Hao, Y., Yang, S., Shao, Z., & Lim, J.
Venue
Chemical Society Reviews
Publisher
Royal Society of Chemistry (RSC)
Published
2020
Volume
49
Issue
24
Pages
9154-9196
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
DOI
10.1039/d0cs00575d
OpenAlex
W3097222816
Cited by
884
References
47
FWCI
4.50
Type
journal article
Language
en
Open access
closed
Licence
rsc.li/journals-terms-of-use (am, 672 d)
Funders
  • National Research Foundation of Korea (NRF-2018M1A2A2063868, NRF-2018R1C1B6006854, NRF-2019M3E6A1065102)
  • National Natural Science Foundation of China (51676189, 52006124)
  • Chinese Academy of Sciences (182211KYSB20160043)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.