Cited by 142Electrocatalysts for Energy ConversionCO2 Reduction Techniques and CatalystsHydrogen Storage and Materials

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Ultrasmall Ru Nanoparticles Highly Dispersed on Sulfur-Doped Graphene for HER with High Electrocatalytic Performance

Sun, Xuzhuo, Gao, Xuyun, Chen, Jing, Wang, Xin, Chang, Haixia, Li, Bo, Song, Dengmeng, Li, Jun, Li, Haisheng, Wang, Ning·2020·ACS Applied Materials & Interfaces

Abstract

Nanostructuring and metal-support interactions have been explored as effective methods to improve the electrocatalytic activity in heterogeneous catalysis. In this study, we have fabricated ultrasmall Ru nanoparticles (NPs) dispersed on S-doped graphene (denoted as Ru/S-rGO) by a facile "one-pot" procedure. The experimental results indicated that both the S doping and moderate degree of oxidization of GO can induce the formation and high dispersion of the ultrasmall Ru NPs with larger electrochemically active surface areas for exposing more active sites. Metal-support interaction between S-doped graphene and Ru NPs was observed from the X-ray photoelectron spectroscopy and electronic charge-difference studies. It resulted in the decrease in the electron density of Ru, which facilitated electron release from H 2 O and H-OH bond breakage. The results of density functional theory calculation confirmed that the S-dopants could reduce the energy barrier for breaking the H-OH bond to accelerate water dissociation during the alkaline hydrogen evolution reaction (HER). At a current density 20 mA cm -2 , the lowest overpotential of 14 mV, superior to that of Pt/C in alkaline solution, was observed for Ru/S-rGO-24. The observed lowest value of overpotential was because of the ultrasmall size, high dispersion, and metal-support interaction. This work provides a simple and effective method in designing advanced electrocatalysts for the HER in an alkaline electrolyte.

Overview

Integrity signals

Registry

Crossref · 10.1021/acsami.0c14170

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 50

  1. 10.1126/science.1103197 · DOI · Paper page
  2. 10.1038/nature11475 · DOI · Paper page
  3. 10.1021/acs.accounts.8b00193 · DOI
  4. 10.1021/acssuschemeng.8b04397 · DOI
  5. 10.1007/s40820-018-0229-x · DOI
  6. 10.1002/advs.201700464 · DOI
  7. 10.1016/j.ijhydene.2014.10.109 · DOI
  8. 10.1038/s41467-019-08419-3 · DOI · Paper page
  9. 10.1039/C7NR06111K · DOI
  10. 10.1038/nchem.917 · DOI
  11. 10.1021/acscatal.8b01609 · DOI
  12. 10.1021/acscatal.9b02457 · DOI · Paper page
  13. 10.1021/acsami.6b15725 · DOI
  14. 10.1039/D0TA03475D · DOI
  15. 10.1016/j.apcatb.2020.118896 · DOI
  16. 10.1038/s41893-020-0509-6 · DOI
  17. 10.1002/smtd.201900653 · DOI
  18. 10.1021/acssuschemeng.0c02636 · DOI · Paper page
  19. 10.1002/advs.202001526 · DOI
  20. 10.1039/c7ta08764k · DOI
  21. 10.1002/aenm.201803913 · DOI · Paper page
  22. 10.1039/c9ta06206h · DOI
  23. 10.1038/ncomms14969 · DOI · Paper page
  24. 10.1038/nnano.2016.304 · DOI · Paper page
  25. 10.1002/aenm.201900931 · DOI
  26. 10.1039/C7EE03345A · DOI · Paper page
  27. 10.1016/j.nanoen.2018.12.085 · DOI
  28. 10.1039/C9TA06244K · DOI
  29. 10.1016/j.nanoen.2019.104023 · DOI
  30. 10.1016/j.carbon.2015.05.088 · DOI
  31. 10.1021/acssuschemeng.8b04823 · DOI
  32. 10.1039/C8CC09624D · DOI
  33. 10.1016/j.nanoen.2019.05.034 · DOI
  34. 10.1038/nchem.1412 · DOI · Paper page
  35. 10.1038/nchem.2607 · DOI
  36. 10.1126/science.1191778 · DOI
  37. 10.1126/science.1256018 · DOI
  38. 10.1021/ja302070k · DOI · Paper page
  39. 10.1002/adma.201201587 · DOI
  40. 10.1021/jz900265j · DOI
  41. 10.1002/adma.201903415 · DOI
  42. 10.1016/j.carbon.2016.01.019 · DOI
  43. 10.1021/nn501434a · DOI
  44. 10.1021/acsami.8b08239 · DOI · Paper page
  45. 10.1039/C9TA01916B · DOI
  46. 10.1002/anie.201410050 · DOI
  47. 10.1021/acscatal.8b01447 · DOI
  48. 10.1002/aenm.201602355 · DOI
  49. 10.1021/jp0131931 · DOI
  50. 10.1021/acscatal.0c02254 · DOI

Cited by

Sorted by citations

Metadata

Authors
Sun, X., Gao, X., Chen, J., Wang, X., Chang, H., Li, B., Song, D., Li, J., Li, H., & Wang, N.
Affiliations
  • Henan University of Technology (CN)
  • Northwest University (CN)
  • Henan University of Science and Technology (CN)
Corresponding author
  • Li, Bo
  • Li, Haisheng
  • Wang, Ning
Venue
ACS Applied Materials & Interfaces
Published
2020-10-19
Volume
12
Issue
43
Pages
48591-48597
ISSN
  • 1944-8244 (ISSN-L)
  • 1944-8252
OpenAlex
W3093472884
Cited by
142
References
7
Citations by year
2026: 12 · 2025: 21 · 2024: 28 · 2023: 34 · 2022: 26 · 2021: 19 · 2020: 2
FWCI
4.00
Type
journal article
Language
en
Open access
closed
Locations
  • ACS Applied Materials & Interfaces (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Natural Science Foundation of Henan Province (162300410052)
  • National Natural Science Foundation of China (11404098, 21671158, 21773184)
  • Key Science and Technology Project of Henan (202102210238)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
  • Physical Sciences › Materials Science › Materials Chemistry › Hydrogen Storage and Materials
Keywords
ruthenium nanoparticles, sulfur-doped graphene, hydrogen evolution reaction, alkaline electrocatalysis, metal-support interaction, nanoparticle dispersion, water dissociation, reduced graphene oxide, one-pot synthesis, overpotential

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