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)
Vega-Paredes, M.; Arenas Esteban, D.; Garzón-Manjón, A.; Scheu, C.: How can electron tomography be used for studying the catalyst degradation of fuel cells. Advanced Electron Nanoscopy Group – Institut Catala de Nanociencia I Nanotecnologia, Bellaterra, Spain (2022)
Garzón-Manjón, A.: Highly active complex solid solution electrocatalysts for oxygen reduction reaction: characterization of the structure-activity correlations by (scanning) transmission electron microscopy. Catalan Institute of Nanoscience and Nanotechnology (ICN2), Barcelona, Spain (2022)
Garzón-Manjón, A.: Highly active complex solid solution electrocatalysts for oxygen reduction reaction: characterization of the structure-activity correlations by (scanning) transmission electron microscopy. Department of Materials & Earth Sciences, Technical University Darmstadt, Darmstadt, Germany (2022)
Garzón-Manjón, A.: Tailoring the structure and composition of complex solid solution nanoparticles for energy applications. 5th International Caparica Symposium on Nanoparticles/Nanomaterials and Applications 2022, Caparica, Portugal (2022)
Vega-Paredes, M.; Garzón-Manjón, A.; Rivas Rivas, N. A.; Berova, V.; Hengge, K. A.; Gänsler, T.; Jurinsky, T.; Scheu, C.: Ruthenium-Platinum Core-Shell Nanoparticles as durable, CO tolerant catalyst for Polymer Electrolyte Membrane Fuel Cells. 5th International Caparica Symposium on Nanoparticles/Nanomaterials and Applications (ISN2A), Online (accepted)
Garzón-Manjón, A.: Tailoring the structure and composition of complex solid solution nanoparticles for energy applications. Seminar Series at Max Planck Institute for Solid State Research, Stuttgart, Germany (2021)
Garzón-Manjón, A.: Controlling the structure and composition of multinary alloy nanoparticles for energy applications. Leitat Institut Colloquium, Barcelona, Spain (2018)
Garzón-Manjón, A.; Meyer, H.; Grochla, D.; Ludwig, A.; Scheu, C.: Insights in the structure and composition of nanoparticles for energy applications. Advanced Structural and Functional Materials, Krakow, Poland (2018)
Garzón-Manjón, A.; Zahn, G.; Kuchshaus, C.; Ludwig, A.; Scheu, C.: Observation of the Structural Transformation of Multinary Nanoparticles by In-situ Transmission Electron Microscopy. 13th Multinational Congress on Microscopy (MCM2017), Rovinj, Croatia (2017)
Garzón-Manjón, A.; Zahn, G.; Kuchshaus, C.; Ludwig, A.; Scheu, C.: In-situ Transmission Electron Microscopy on the Transformation Behaviour of Multinary Nanoparticles. International Congress Engineering of Advanced Materials (ICEAM 2017), Erlangen, Germany (2017)
Garzón-Manjón, A.; Zahn, G.; Kuchshaus, C.; Zhang, S.; Ludwig, A.; Scheu, C.: Observation of the Structural Transformation of Multinary Nanoparticles by In-situ Transmission Electron Microscopy. EMAT Workshop on Transmission Electron Microscopy, University of Antwerp, Antwerp, Belgium (2017)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
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