J
Jens K. Nørskov
Researcher at Technical University of Denmark
Publications - 723
Citations - 181092
Jens K. Nørskov is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Catalysis & Density functional theory. The author has an hindex of 184, co-authored 706 publications receiving 146151 citations. Previous affiliations of Jens K. Nørskov include Aarhus University & Fritz Haber Institute of the Max Planck Society.
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Electronic-Structure-Based Design of Ordered Alloys
Thomas Bligaard,Martin Andersson,Karsten Wedel Jacobsen,Hans Lomholt Skriver,Claus H. Christensen,Jens K. Nørskov +5 more
TL;DR: In this article, the authors describe some recent advances in the methodology of using electronic structure calculations for materials design and discuss various strategies for approaching this problem and show how one strategy has led to the computational discovery of a promising catalytic metal alloy surface with high reactivity and low cost.
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Methanol Partial Oxidation on Ag(1 1 1) from First Principles
TL;DR: In this article, the authors examined the thermochemistry and kinetics of the partial oxidation of methanol to formaldehyde on silver surfaces using periodic density functional theory calculations employing the BEEF-vdW functional.
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Theoretical and Experimental Studies of CoGa Catalysts for the Hydrogenation of CO2 to Methanol
Joseph A. Singh,Ang Cao,Julia Schumann,Tao Wang,Jens K. Nørskov,Frank Abild-Pedersen,Stacey F. Bent +6 more
TL;DR: In this paper, the authors used density functional theory combined with microkinetic modeling to understand the methanol synthesis reaction mechanism on a model CoGa catalyst and found that the most active catalysts have up to 95% CO-free selectivity towards methanols and dimethyl ether during CO2 hydrogenation and are comparable in performance to a commercial CuZn catalyst.
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Understanding Trends in Ethylene Epoxidation on Group IB Metals
Hao Li,Ang Cao,Jens K. Nørskov +2 more
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Efficient Pourbaix diagrams of many-element compounds
TL;DR: In this article, the authors present a method for constructing multi-element Pourbaix diagrams which uses a pre-processing step to circumvent the most egregious computational bottleneck and make many-element pourbaix diagram computationally efficient.