Elkot, M.; Sun, B.; Ponge, D.; Raabe, D.: Strategizing for hydrogen embrittlement by protecting the weakest microstructural element. ECF24 - European Conference on Fracture 2024 in Croatia, Zagreb, Croatia (2024)
Zhou, X.; Hickel, T.; Gault, B.; Ophus, C.; Liebscher, C.; Dehm, G.; Raabe, D.: Exploring the Relationship Between Grain Boundary Structure and Chemical Composition at the Atomic Level. International Conference on Intergranular and Interphase Boundaries in Materials (IIB 2024), Beijing, China (2024)
Rao, Z.; Han, L.; Zhang, H.; Raabe, D.: Active learning strategies for the sustainability of structural metals. Royal Society Discussion Meeting on Sustainable Metals: Science and Systems, London, UK (2024)
Zhou, X.; Wei, S.; Raabe, D.: Segregation-Driven Mechanics of White Gold at the Nanoscale: A Cursing or Blessing? Schöntal Symposium on Dislocation-based Plasticity 2024, Kloster Schöntal, Germany (2024)
Umate, K. S.; Bai, Y.; Svendsen, B.; Raabe, D.: Phase-field model for Hydrogen based direct reduction of iron oxides: Role of porosity. TMS - Algorithm Development in Materials Science and Engineering, Orlando, FL, USA (2024)
Raabe, D.: Transport and phase transformations phenomena in sustainable hydrogen-based steel production. 87th Spring Meeting of the German Physical Society, Berlin, Germany (2024)
Feng, S.; Gong, Y.; Neugebauer, J.; Raabe, D.; Liotti, E.; Grant, P. S.: Multi-technique investigation of Fe-rich intermetallic compounds for more impurity-tolerant Al alloys. Annual Meeting of DPG and DPG-Frühjahrstagung (DPG Spring Meeting) of the Condensed Matter Section (SKM) 2024, Berlin, Germany (2024)
Raabe, D.: Basic Materials Science Aspects of Green Metal Production. Royal Society Conference on Sustainable Metals: Science and Systems, London, UK (2024)
Raabe, D.: The Interplay of Lattice Defects and Chemistry at Atomic Scale and Why it Matters for the Properties of Materials. Van Horn Distinguished Lecturer Series, Cleveland, OH, USA (2023)
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
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.