Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 216

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Upraising the O 2p Orbital by Integrating Ni with MoO2 for Accelerating Hydrogen Evolution Kinetics

Liu, Xiong, Ni, Kun, Niu, Chaojiang, Guo, Ruiting, Xi, Wei, Wang, Zhaoyang, Meng, Jiashen, Li, Jiantao, Zhu, Yanwu, Wu, Peijie, Li, Qi, Luo, Jun, Wu, Xiaojun, Mai, Liqiang·2019·ACS Catalysis

Abstract

Unique interfacial properties within heterostructures play vital roles in enhancing hydrogen evolution reaction (HER) electrocatalysis. On the basis of the MoO 2 -Ni heterostructure, we hereby propose an upraised atomic orbital promoted catalytic mechanism for accelerating the HER kinetics. A controllable gradient-pyrolysis approach is adopted on molybdates to integrate Ni with MoO 2, possessing numerous phase-separation-induced intimate interfaces. In situ characterizations demonstrate the formation process of MoO 2 -Ni interfaces and excellent compositional stability under alkaline conditions. The optimized MoO 2 -Ni catalyst delivers remarkable Pt-like HER activity and good stability with 50 h operation in 1 M KOH. An enhancement of 3 orders of magnitude on the exchange current density is achieved for MoO 2 -Ni in comparison to the simplex MoO 2 . Further experimental and theoretical analyses verify the existence of a concentrated surface charge at MoO 2 -Ni interfaces. Meanwhile, with the incorporation of Ni into MoO 2, the most active sites dramatically change from Mo to O atoms at MoO 2 -Ni interfaces. The Ni contact upraises the O 2p orbital in MoO 2, thus strengthening the hydrogen adsorption for enhanced HER kinetics.

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.8b04817

Cites

12 of 12 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

Show all 12 references

Cited by

Metadata

Authors
Liu, X., Ni, K., Niu, C., Guo, R., Xi, W., Wang, Z., Meng, J., Li, J., Zhu, Y., Wu, P., Li, Q., Luo, J., Wu, X., & Mai, L.
Venue
ACS Catalysis
Published
2019-01-25
Volume
9
Issue
3
Pages
2275-2285
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2913179618
Cited by
216
References
12
FWCI
6.49
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.