Karsten Reuter - Catalysis

Author Information

Karsten Reuter is affiliated with the Chair for Theoretical Chemistry and Catalysis Research Center at Technische Universität München in Garching, Germany. His research focuses on various aspects of catalysis, including theoretical and computational chemistry approaches to understand and predict catalytic processes.

Research Contributions

Karsten Reuter has made substantial contributions to the field of catalysis, especially in the areas of machine learning-enhanced electron density models, molecular dipole moment prediction, and heterogeneous catalysis. His work often bridges experimental and computational perspectives, providing comprehensive insights into catalytic mechanisms and interactions. Notable recent works include studies on the activation and stabilization of dihydrogen by molybdenum sulfide clusters, low-dimensional heterostructures for advanced electrocatalysis, and CO hydrogenation on rhodium catalysts. Additionally, he has explored the application of machine learning to predict binding motifs of complex adsorbates and the role of adsorbate-adsorbate interactions in catalytic processes.

Aliases

Karsten Reuter is also known by the following aliases: K Reuter, K. Reuter, and Karsten Reuter.

Publication and Citation Metrics

Total Citations	16,864
H-Index	65
Number of Papers	365

Publications:

Kernel charge equilibration: efficient and accurate prediction of molecular dipole moments with a machine-learning enhanced electron density model

DOI: 10.1088/2632-2153/ac568d

Year: 2022

Di- and Tetrameric Molybdenum Sulfide Clusters Activate and Stabilize Dihydrogen as Hydrides

DOI: 10.1021/jacsau.1c00507

Year: 2022

Low-dimensional heterostructures for advanced electrocatalysis: an experimental and computational perspective.

DOI: 10.1039/d1cs00498k

Year: 2022

Selectivity Trends and Role of Adsorbate-Adsorbate Interactions in CO Hydrogenation on Rhodium Catalysts

DOI:

Year: 2022

Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation

DOI:

Year: 2022

A model-free sparse approximation approach to robust formal reaction kinetics

DOI: 10.1016/j.cej.2021.134121

Year: 2022

Heterogeneous Catalysis in Grammar School

DOI: 10.1021/acs.jpcc.1c10285

Year: 2022

CO2-activation by size-selected tantalum cluster cations (Ta1-16+): thermalization governing reaction selectivity

DOI: 10.1039/d1cp04469a

Year: 2022

Photoelectron angular distributions as sensitive probes of surfactant layer structure at the liquid–vapor interface

DOI: 10.1039/d1cp05621b

Year: 2022

Nano‐Scale Complexions Facilitate Li Dendrite‐Free Operation in LATP Solid‐State Electrolyte

DOI: 10.1002/aenm.202100707

Year: 2021

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Why are Cyclodextrins Relevant in Catalysis?

Why are Nanostructured Membranes Important in Catalysis?

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What is CASSCF?

What Are Some Examples of Improved Catalytic Systems?

What are the Applications of Operando MS in Catalysis?

What is Biochemical Catalysis?

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