Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 187

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Structure Effects of Metal Corroles on Energy-Related Small Molecule Activation Reactions

Lei, Haitao, Li, Xialiang, Meng, Jia, Zheng, Haoquan, Zhang, Wei, Cao, Rui·2019·ACS Catalysis

Abstract

The increasing global energy and environmental crises make it urgent to find and use renewable, clean, and environmentally benign new energy resources. New energy conversion schemes based on small molecule activation reactions, including hydrogen evolution reaction (HER), oxygen evolution reaction (OER), and oxygen reduction reaction (ORR), have been proposed. For example, catalytic water splitting provides a promising way to convert solar energy to chemical energy, which is stored as the hydrogen fuel. Hydrogen oxidation in fuel cells is an energy-releasing process to generate electric energy and water as the only product. Although such a hydrogen-based new energy scheme is appealing, its viability is dependent on highly efficient and robust catalysts for these small molecule activation reactions. Recently, a variety of metal corroles have been demonstrated to be efficient in catalyzing HER, OER, and ORR. The redox-active trianionic corrole ligands can afford a rigid four-coordinated square-planar molecular structure and are very effective in stabilizing high-valent metal centers. These features make metal corroles very attractive to serve as catalysts for these processes. More importantly, the structure of metal corroles can be systematically modified, which provides an ideal system to investigate the structure–reactivity relationship with aims to obtain fundamental knowledge on catalyst design and also catalytic mechanism. In this review, we summarize recently reported metal corrole catalysts for HER, OER, and ORR, as well as pay particular attention to the structure effects on these reactions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acscatal.9b00310

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 187

Metadata

Authors
Lei, H., Li, X., Meng, J., Zheng, H., Zhang, W., & Cao, R.
Venue
ACS Catalysis
Published
2019-04-03
Volume
9
Issue
5
Pages
4320-4344
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2928095884
Cited by
187
References
5
FWCI
5.26
Type
journal article
Language
en
Open access
closed

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 ›

Are you an author, or do you see a problem with this page? Request a review

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.