0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessSingle-atom catalysts offer a pathway to cost-efficient catalysis using the minimal amount of precious metals. This chapter reports the synthesis of double transition metal MXene nanosheets—Mo2TiC2Tx, with abundant exposed basal planes and Mo vacancies in the outer layers—by electrochemical exfoliation, enabled by the interaction between protons and the surface functional groups of Mo2TiC2Tx. Hydrogen has been considered promising as a clean energy carrier to replace fossil fuels and can be produced by electrocatalytic water splitting. The strong covalent interactions between single atoms and such a matrix can efficiently anchor the individual atoms, avoiding the formation of aggregated particles. Single metal atoms trapped by defect sites in transition metal compounds form a unique class of single-atom catalysts.
Jinqiang Zhang, Yufei Zhao, Xin Guo, Chen Chen, Chung‐Li Dong, Ru‐Shi Liu, Chih‐Pin Han, Yadong Li, Yury Gogotsi, Guoxiu Wang (2023). Single Platinum Atoms Immobilized on an MXene as an Efficient Catalyst for the Hydrogen Evolution ReactionDOI: https://doi.org/10.1201/9781003306511-42,
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Chapter in a book
Year
2023
Authors
10
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1201/9781003306511-42
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access