Elite cliques: Palladium clusters with three and four atoms were found to be the catalytically active species for ligand-free palladium-catalyzed CC bond-forming reactions. These palladium cluster species could be stabilized in water and stored for long periods of time for use on demand with no loss of activity. High yields of products and turnover frequencies (TOFs) of up to 10(5) h(-1) were observed.
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http://dx.doi.org/10.1002/anie.201303188 | DOI Listing |
Inorg Chem Front
December 2024
Department of Chemistry, University of Manchester Manchester M13 9PL UK
Phenylacetylene is a detrimental impurity in the polymerisation of styrene, capable of poisoning catalysts even at ppm levels and significantly degrading the quality of polystyrene. The semi-hydrogenation of phenylacetylene to styrene instead of ethylbenzene is, therefore, an important industrial process. We report a novel cerium(iv)-based metal-organic framework (denoted as Ce-bptc), which comprises {Ce} clusters bridged by biphenyl-3,3',5,5'-tetracarboxylate linkers.
View Article and Find Full Text PDFChem Sci
December 2024
School of Chemistry and Chemical Engineering, Hainan University Haikou 570228 China
Environ Sci Technol
December 2024
State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
The sustainable and affordable environmental application of Pd catalysis needs further improvement of Pd mass activity. Besides the well-recognized importance of physical utilization efficiency─the ratio of surface atoms forming reactant-accessible reactive sites─a lesser-known fact is that the congestion of these reactive sites, which we term as the chemical utilization efficiency, also influences the mass activity. Herein, by leveraging the 100% physical utilization efficiency of a fully exposed Pd cluster (Pd) and the hydrogenation activity of TiNiN, we developed Pd/TiNiN as a high physical and chemical utilization efficiency catalyst.
View Article and Find Full Text PDFRSC Adv
October 2024
School of Electrical and Electronic Engineering, Hanoi University of Science and Technology Hanoi Vietnam
In this study, we present a comprehensive approach for the morphological analysis of palladium on carbon (Pd/C) nanoparticles utilizing scanning electron microscopy (SEM) imaging and advanced deep learning techniques. A deep learning detection model based on an attention mechanism was implemented to accurately identify and delineate small nanoparticles within unlabeled SEM images. Following detection, a graph-based network was employed to analyze the structural characteristics of the nanoparticles, while density-based spatial clustering of applications with noise was utilized to cluster the detected nanoparticles, identifying meaningful patterns and distributions.
View Article and Find Full Text PDFPrecis Chem
October 2024
School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao 266580, Shandong China.
Using density functional theory, we carefully calculated the relative stability of monolayer, few-layer, and cluster structures with Penta PdSe, T-phase PdSe, and PdSe-phase. We found that the stability of Penta PdSe increases with the number of layers. The Penta PdSe, T-phase PdSe, and PdSe monolayers are all semiconducting, with band gaps of 1.
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