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Angelo Vargas

Researcher at ETH Zurich

Publications -  38
Citations -  1458

Angelo Vargas is an academic researcher from ETH Zurich. The author has contributed to research in topics: Cinchonidine & Catalysis. The author has an hindex of 22, co-authored 38 publications receiving 1386 citations. Previous affiliations of Angelo Vargas include École Polytechnique Fédérale de Lausanne.

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Shape-selective enantioselective hydrogenation on Pt nanoparticles.

TL;DR: A combined catalytic and theoretical study revealed that the probable origin of the particle shape dependency of enantioselective hydrogenation is the adsorption behavior of the cinchona alkaloid.
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Magnetically separable Pt catalyst for asymmetric hydrogenation

TL;DR: In this paper, a magnetic Pt/SiO2/Fe3O4 catalyst consisting of chirally modified platinum supported on silica coated magnetite nanoparticles was prepared using an easy synthetic route and successfully applied for the enantioselective hydrogenation of various activated ketones.
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Competition at chiral metal surfaces: fundamental aspects of the inversion of enantioselectivity in hydrogenations on platinum.

TL;DR: The process leading to nonlinear effects in heterogeneous asymmetric catalysis has been characterized by in situ spectroscopy, and new insight into a heterogeneous catalytic R-S switch system is provided.
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Adsorption of cinchonidine on platinum: a DFT insight in the mechanism of enantioselective hydrogenation of activated ketones

TL;DR: In this article, the adsorption of cinchonidine on platinum has been calculated with relativistically corrected density-functional theory, by first studying the interaction of the 1(S)-(4-quinolinyl)ethanol with a platinum cluster of 31 metal atoms, and by successive addition and separate optimization of the quinuclidine moiety.
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Adsorption of activated ketones on platinum and their reactivity to hydrogenation: a DFT study

TL;DR: In this paper, the adsorption of several ketones interesting for the enantioselective hydrogenation on cinchona-modified platinum has been modeled using relativistically corrected density functional theory.