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Recent Progress on Rational Design of Bimetallic Pd Based Catalysts and Their Advanced Catalysis
Abstract
Abstract Bimetallic Pd based catalysts have received tremendous research interests for many important reactions in fields of important petrochemical industrial process, fine chemical synthesis, environment protection, renewable energy conversion, as their specific activity and selectivity are usually higher than that of pure Pd. With a well-defined composition, Pd–M bimetallic catalysts are also the ideal platform for the investigation of the reaction mechanism, which provides a bridge for the construction of high-performance catalyst. This Review intends to give an overview of the recent advances on the design principles of bimetallic Pd based catalyst in term of active sites’ structure and number, and provide insights into the synergy effects between Pd and M as well as the supports to understand the elementary mechanisms of reactions. The Review starts with how the intrinsic activity and selectivity of different structures (alloy, core–shell, and Pd/metal compound interface) would be controlled by ligand effect, strain effect, ensemble effect, and support effect; followed by a discussion of the structure determined mechanism investigation in reactions of selective hydrogenation, CO oxidation, methane combustion, electrocatalytic energy conversion (HER, ORR, MOR), CO2 reduction, H2 production, biomass upgrading, and fine chemical synthesis; and then introduces the strategies for how to maximize the active sites’ number in a finite metal load. Finally, the operando insight into the active sites’ reconstruction under reaction condition will be discussed. On the basis of this Review, the experience and generic rules acquired from the design thoughts, synthetic disciplines, and the functionalities of bimetallic Pd based catalysts in a given reaction could have an important referential significance for revealing catalytic mechanisms at the molecular scales as well as building up other high-efficiency bimetallic catalysts.
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Metadata
- Authors
- Fan, J., Du, H., Zhao, Y., Wang, Q., Liu, Y., Li, D., & Feng, J.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-11-10
- Volume
- 10
- Issue
- 22
- Pages
- 13560-13583
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W3104585651
- Cited by
- 265
- References
- 126
- FWCI
- 11.00
- 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.
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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.