|
Record |
Links |
|
Author |
Jenkinson, K.; Spadaro, M.C.; Golovanova, V.; Andreu, T.; Morante, J.R.; Arbiol, J.; Bals, S. |
|
|
Title |
Direct operando visualization of metal support interactions induced by hydrogen spillover during CO₂ hydrogenation |
Type |
A1 Journal article |
|
Year |
2023 |
Publication |
Advanced materials |
Abbreviated Journal |
|
|
|
Volume |
35 |
Issue |
51 |
Pages |
2306447-10 |
|
|
Keywords |
A1 Journal article; Engineering sciences. Technology; Electron microscopy for materials research (EMAT) |
|
|
Abstract |
The understanding of catalyst active sites is a fundamental challenge for the future rational design of optimized and bespoke catalysts. For instance, the partial reduction of Ce4+ surface sites to Ce3+ and the formation of oxygen vacancies are critical for CO2 hydrogenation, CO oxidation, and the water gas shift reaction. Furthermore, metal nanoparticles, the reducible support, and metal support interactions are prone to evolve under reaction conditions; therefore a catalyst structure must be characterized under operando conditions to identify active states and deduce structure-activity relationships. In the present work, temperature-induced morphological and chemical changes in Ni nanoparticle-decorated mesoporous CeO2 by means of in situ quantitative multimode electron tomography and in situ heating electron energy loss spectroscopy, respectively, are investigated. Moreover, operando electron energy loss spectroscopy is employed using a windowed gas cell and reveals the role of Ni-induced hydrogen spillover on active Ce3+ site formation and enhancement of the overall catalytic performance. |
|
|
Address |
|
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Wos |
001106139400001 |
Publication Date |
2023-10-22 |
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
0935-9648 |
ISBN |
|
Additional Links |
UA library record; WoS full record |
|
|
Impact Factor |
29.4 |
Times cited |
|
Open Access |
OpenAccess |
|
|
Notes |
This work was supported by the funding received by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement no. 818776 – DYNAPOL, no. 770887 PICOMETRICS and no. 815128 REALNANO). The authors also acknowledge the computational resources provided by the Swiss National Supercomputing Center (CSCS), by CINECA, and the Research Foundation Flanders (FWO, Belgium) G.0346.21N.; Sygma_SB |
Approved |
Most recent IF: 29.4; 2023 IF: 19.791 |
|
|
Call Number |
UA @ admin @ c:irua:201143 |
Serial |
9022 |
|
Permanent link to this record |