Marlon Rück

Marlon Rück is an Associate Professor at the Technical University of Munich (TUM) within the TUM School of Computation, Information and Technology. He works at the Associate Professorship Simulation of Nanosystems for Energy Conversion under Prof. Alessio Gagliardi, focusing on electrocatalysis and machine learning for materials predictions.

His research spans nanostructured catalysts, density functional theory, multiscale modeling, and graph neural networks. Recent projects include DFG e-Conversion Clusters (I, II, III), TUM Innovation Networks (ARTEMIS), EU Lion-Hearted, and collaborations with the SunCat Summer Institute and Royal Society of Chemistry.

Key publications analyze oxygen reduction reaction mechanisms in platinum-based electrocatalysts using machine learning, computational screening, and quantum modeling. Awards include an Angewandte Chemie International Edition Hot Paper (2019).

He contributes to academic supervision, active projects, and conferences like ECS Meeting and Materials Research Society Fall Meeting. Affiliated institutions include TUM and Free University of Berlin's Dahlem Center for Complex Quantum Systems.