iridium catalysts
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ChemCatChem ◽  
2021 ◽  
Author(s):  
Ali J. Saadun ◽  
Sharon Mitchell ◽  
Hristo Bonchev ◽  
Javier Pérez‐Ramírez
Keyword(s):  

ChemCatChem ◽  
2021 ◽  
Author(s):  
Ali J Saadun ◽  
Sharon Mitchell ◽  
Hristo Bonchev ◽  
Javier Pérez-Ramírez
Keyword(s):  

Author(s):  
Ana Luque-Gómez ◽  
Susana García-Abellán ◽  
Julen Munarriz ◽  
Victor Polo ◽  
Vincenzo Passarelli ◽  
...  

2021 ◽  
Vol 64 (5) ◽  
pp. 271-279
Author(s):  
Han YU ◽  
Lin MA ◽  
Kenji WADA ◽  
Ryohsuke KURIHARA ◽  
Qi FENG ◽  
...  
Keyword(s):  

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4465
Author(s):  
Michał Zieliński ◽  
Monika Kot ◽  
Mariusz Pietrowski ◽  
Robert Wojcieszak ◽  
Jolanta Kowalska-Kuś ◽  
...  

This paper investigates the catalytic properties of the iridium catalysts supported on modified silicalite-1. Post-synthesis modification of silicalite-1, with solutions of ammonium compounds (NH4F and NH4OH), appeared to be an efficient method to generate the acidic sites in starting support. The modification of support led not only to changes in its acidity but also its porosity—formation of additional micro- and mesopores. The novel materials were used as supports for iridium. The iridium catalysts (1 wt.% Ir) were characterized by N2 adsorption/desorption measurements, temperature-programmed reduction with hydrogen (TPR-H2), H2 chemisorption, transmission electron microscopy (TEM), temperature-programmed desorption of ammonia (TPD-NH3), X-ray photoelectron spectroscopy (XPS) and tested in the hydrogenation of toluene reaction. The catalytic activity of iridium supported on silicalite-1 treated with NH4OH (higher porosity of support, better dispersion of active phase) was much higher than that of Ir supported on unmodified and modified with NH4F silicalite-1.


2021 ◽  
Author(s):  
Hongyu Chen ◽  
Shigeru Yamaguchi ◽  
Yuya Morita ◽  
Hiroyasu Nakao ◽  
Xiang-Ning Zhai ◽  
...  

Abstract Asymmetric catalysis enabling divergent control of multiple stereocenters remains challenging in synthetic organic chemistry. While machine learning-based optimization of molecular catalysis is an emerging approach, data-driven catalyst design to achieve stereodivergent asymmetric synthesis producing multiple reaction outcomes, such as constitutional selectivity, diastereoselectivity, and enantioselectivity, is unprecedented. Here, we report the straightforward identification of asymmetric two-component iridium/boron hybrid catalyst systems for α-C-allylation of carboxylic acids. Structural optimization of the chiral ligands for iridium catalysts was driven by molecular field-based regression analysis with a dataset containing overall 32 molecular structures. The catalyst systems enabled selective access to all the possible isomers of chiral carboxylic acids bearing contiguous stereocenters. This stereodivergent asymmetric catalysis is applicable to late-stage structural modifications of drugs and their derivatives.


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