Berova, V.; Hengge, K.; Burger, T.; Vega-Paredes, M.; Scheu, C.; Jurzinsky, T.: Accelerated stress test study on CO-tolerant PtRu anode catalysts for reformate PEM fuel cells. Journal of Power Sources 632, 236312 (2025)
Camuti, L.; Kim, S.-H.; Podjaski, F.; Vega-Paredes, M.; Mingers, A. M.; Acartürk, T.; Starke, U.; Lotsch, B. V.; Scheu, C.; Gault, B.et al.; Zhang, S.: Kinetics and direct imaging of electrochemically formed palladium hydride for efficient hydrogen evolution reaction. Physics > Chemical Physics (2025)
Cheraparambil, H.; Vega-Paredes, M.; Scheu, C.; Weidenthaler, C.: Unraveling the Evolution of Dynamic Active Sites of LaNixFe1-xO3 Catalysts During OER. ACS Applied Materials & Interfaces 16 (17), pp. 21997 - 22006 (2024)
Vega-Paredes, M.; Scheu, C.; Aymerich Armengol, R.: Expanding the Potential of Identical Location Scanning Transmission Electron Microscopy for Gas Evolving Reactions: Stability of Rhenium Molybdenum Disulfide Nanocatalysts for Hydrogen Evolution Reaction. ACS Applied Materials and Interfaces 15 (40), pp. 46895 - 46901 (2023)
Liang, Y.; Mrovec, M.; Lysogorskiy, Y.; Vega-Paredes, M.; Scheu, C.; Drautz, R.: Atomic cluster expansion for Pt–Rh catalysts: From ab initio to the simulation of nanoclusters in few steps. Journal of Materials Research 38, pp. 5125 - 5135 (2023)
Berova, V.; Garzón-Manjón, A.; Vega-Paredes, M.; Scheu, C.; Jurzinsky, T.: Influence of Shell Thickness on Durability of Ru@Pt Core-Shell Catalysts for Reformate PEM Fuel Cells. In ECS Meeting Abstracts, MA2022-01 (35), p. 1528. The Electrochemical Society (2022)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.