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)
Aymerich Armengol, R.: Techniques for the assessment of the stability of (sea) water splitting nanocatalysts. Korean Institute for Energy Research, Jeju, South Korea (2023)
Vega-Paredes, M.; Aymerich Armengol, R.; Scheu, C.: Determining the degradation mechanisms and active species of electrocatalysts by identical location electron microscopy. NRF-DFG meeting “Electrodes for direct sea-water splitting and microstructure based stability analyses”, Korean Institute for Energy Research, Jeju, South Korea (2023)
Aymerich Armengol, R.: Determination of the structural and electrochemical stability of nanocatalysts for electrolyzer applications. Chemistry Department, Kangwon National University, Chuncheon-si, South Korea (2023)
Aymerich Armengol, R.: Understanding the stability of nanomaterials through electron microscopy techniques. Physics Department, Technical University of Denmark, Kongens Lyngby, Denmark (2023)
Aymerich Armengol, R.: Stability of 2D oxide and chalcogenide nanomaterials under synthesis and application conditions. MRSEC Seminar Series, Northwestern University, Evanston, IL, USA (2023)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
This project (B06) is part of the SFB 1394 collaborative research centre (CRC), focused on structural and atomic complexity, defect phases and how they are related to material properties. The project started in January 2020 and has three important work packages: (i) fracture analysis of intermetallic phases, (ii) the relationship of fracture to…
This project is a joint project of the De Magnete group and the Atom Probe Tomography group, and was initiated by MPIE’s participation in the CRC TR 270 HOMMAGE. We also benefit from additional collaborations with the “Machine-learning based data extraction from APT” project and the Defect Chemistry and Spectroscopy group.