Isotta, E.: Investigating microstructure via thermal conductivity imaging: from grain boundaries, to phase segregations and material anisotropy. 50th International Conference and Expo on Advanced Ceramics and Composites (ICACC 2026), Daytona Beach, FL, USA (2026)
Isotta, E.: Investigating microstructure via thermal conductivity imaging: from grain boundaries, to material anisotropy, and phase segregations. Invited Seminar at RWTH Aachen, Physics Department, Aachen, Germany (2025)
Isotta, E.: Thermal conductivity imaging to advance microstructure engineering in thermoelectric and energy materials. Materials Science and Technology Meeting (MSandT) 2025, Columbus, OH, USA (2025)
Isotta, E.; Zhang, S.; Ghosh, S.; de Boor, J.; Balogun, O.; Snyder, G. J.; Scheu, C.: Thermal conductivity imaging to advance microstructure engineering in thermoelectrics. European Conference on Thermoelectrics 2025, Nancy, France (2025)
Isotta, E.: Thermal conductivity imaging to guide microstructure engineering in energy materials. Invited Seminar at the Karlsruhe Institute of Technology, Karlsruhe, Germany (2025)
Isotta, E.: Thermal conductivity imaging to guide microstructure engineering in energy materials. Invited Seminar at the German Aerospace Center in Cologne, Köln, Germany (2025)
Isotta, E.: Thermal conductivity imaging to guide microstructure engineering in energy materials. Iberian Workshop on Thermoelectrics 2025, Castello de la Plana, Spain (2025)
Isotta, E.: Local thermal conductivity imaging and modelling to guide microstructure engineering in energy materials. TMS 2025 Annual Meeting, Las Vegas, NV, USA (2025)
Isotta, E.: Thermal conductivity imaging to guide microstructure engineering in energy materials. Invited Seminar at the Institute of Science and Technology Austria, Klosterneuburg, Austria (2024)
Busch, F.; Balogun, O.; Snyder, G. J.; Scheu, C.; Isotta, E.: Unravelling grain boundary influences on electronic and lattice thermal conductivity in Mn-doped SnTe thermoelectrics. 21st European Conference on Thermoelectrics (ECT) 2025, Nancy, Frankreich (2025)
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
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Water electrolysis has the potential to become the major technology for the production of the high amount of green hydrogen that is necessary for its widespread application in a decarbonized economy. The bottleneck of this electrochemical reaction is the anodic partial reaction, the oxygen evolution reaction (OER), which is sluggish and hence…
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.