The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Interfacing Epitaxial Dinickel Phosphide to 2D Nickel Thiophosphate Nanosheets for Boosting Electrocatalytic Water Splitting
Open accessAbstract
Heterostructures with abundant phase boundaries are compelling for surface-mediated electrochemical applications. However, rational design of such bifunctional electrocatalysts for efficient hydrogen and oxygen evolution reactions (HER and OER) is still challenging. Here, due to the well-matched lattice parameters, we easily achieved the epitaxy of two-dimensional ternary nickel thiophosphate (NiPS 3 ) nanosheets with in-grown dinickel phosphide (Ni 2 P) through an in situ growth strategy. Density functional theory calculations reveal that the NiPS 3 /Ni 2 P heterojunction significantly decreases the kinetic barrier for hydrogen adsorption and accelerates electron transfer due to the built-in electric field at the epitaxial interfaces. The significantly improved electrocatalytic performance is shown to be closely related to the epitaxial interfacial area rather than the amount of secondary phase. Notably, the resultant NiPS 3 /Ni 2 P heterostructures enable an overall water splitting electrolyzer to achieve 50 mA cm –2 at a lower bias of 1.65 V compared to that for the pristine NiPS 3 alone (2.02 V) and even the benchmark Pt/C//IrO 2 electrocatalysts (1.69 V).
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.
Integrity signals
Registry
Cites
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.
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
Benchmarking Heterogeneous Electrocatalysts for the Oxygen Evolution Reaction
McCrory, C. C. L., Jung, S., Peters, J. C., & Jaramillo, T. F. (2013) · Journal of the American Chemical Society · doi:10.1021/ja407115p · Cited by 7,026
McCrory, C. C. L., Jung, S., Ferrer, I. M., Chatman, S. M., Peters, J. C., & Jaramillo, T. F. (2015) · Journal of the American Chemical Society · doi:10.1021/ja510442p · Cited by 4,145
Liu, P., & Rodriguez, J. A. (2005) · Journal of the American Chemical Society · doi:10.1021/ja0540019 · Cited by 1,240
Shan, J., Ling, T., Davey, K., Zheng, Y., & Qiao, S. (2019) · Advanced Materials · doi:10.1002/adma.201900510 · Cited by 642
Self-citationBenchmarking nanoparticulate metal oxide electrocatalysts for the alkaline water oxidation reaction
Jung, S., McCrory, C. C. L., Ferrer, I. M., Peters, J. C., & Jaramillo, T. F. (2016) · Journal of Materials Chemistry A · doi:10.1039/c5ta07586f · Cited by 600
Gu, Y., Chen, S., Ren, J., Jia, Y. A., Chen, C., Komarneni, S., Yang, D., & Yao, X. (2018) · ACS Nano · doi:10.1021/acsnano.7b05971 · Cited by 540
Jin, H., Liu, X., Vasileff, A., Jiao, Y., Zhao, Y., Zheng, Y., & Qiao, S.-Z. (2018) · ACS Nano · doi:10.1021/acsnano.8b07841 · Cited by 441
Self-citation
Cited by
Zhang, H., Maijenburg, A. W., Li, X., Schweizer, S. L., & Wehrspohn, R. B. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202003261 · Cited by 666
Diao, J., Qiu, Y., Liu, S., Wang, W., Chen, K., Li, H., Yuan, W., Qu, Y., & Guo, X. (2020) · Advanced Materials · doi:10.1002/adma.201905679 · Cited by 555
Zhang, B., Wang, J., Liu, G., Weiss, C. M., Liu, D., Chen, Y., Xia, L., Zhou, P., Gao, M., Liu, Y., et al. (2024) · Nature Catalysis · doi:10.1038/s41929-024-01126-3 · Cited by 567
Designing a Built-In Electric Field for Efficient Energy Electrocatalysis
Zhao, X., Liu, M., Wang, Y., Xiong, Y., Yang, P., Qin, J., Xiong, X., & Lei, Y. (2022) · ACS Nano · doi:10.1021/acsnano.2c09888 · Cited by 437
Lattice‐Strain Engineering for Heterogenous Electrocatalytic Oxygen Evolution Reaction
Hou, Z., Cui, C., Li, Y., Gao, Y., Zhu, D., Gu, Y., Pan, G., Zhu, Y., & Zhang, T. (2023) · Advanced Materials · doi:10.1002/adma.202209876 · Cited by 365
Metadata
- Authors
- Liang, Q., Zhong, L., Du, C., Luo, Y., Zhao, J., Zheng, Y., Xu, J., Ma, J., Liu, C., Li, S., & Yan, Q.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-07-02
- Volume
- 13
- Issue
- 7
- Pages
- 7975-7984
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2954338368
- Cited by
- 213
- References
- 7
- FWCI
- 6.75
- Type
- journal article
- Language
- en
- Open access
- green
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.