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
This work led so far to several high impact publications: for the first time nanobeam diffraction (NBD) orientation mapping was used on atom probe tips, thereby enabling the high throughput characterization of grain boundary segregation as well as the crystallographic identification of phases.
Smaller is stronger” is well known in micromechanics, but the properties far from the quasi-static regime and the nominal temperatures remain unexplored. This research will bridge this gap on how materials behave under the extreme conditions of strain rate and temperature, to enhance fundamental understanding of their deformation mechanisms. The…
The prediction of materials properties with ab initio based methods is a highly successful strategy in materials science. While the working horse density functional theory (DFT) was originally designed to describe the performance of materials in the ground state, the extension of these methods to finite temperatures has seen remarkable…
The aim of the work is to develop instrumentation, methodology and protocols to extract the dynamic strength and hardness of micro-/nano- scale materials at high strain rates using an in situ nanomechanical tester capable of indentation up to constant strain rates of up to 100000 s−1.
The balance between different contributions to the high-temperature heat capacity of materials can hardly be assessed experimentally. In this study, we develop computationally highly efficient ab initio methods which allow us to gain insight into the relevant physical mechanisms. Some of the results have lead to breakdown of the common…
We plan to investigate the rate-dependent tensile properties of 2D materials such as metal thin films and PbMoO4 (PMO) films by using a combination of a novel plan-view FIB based sample lift out method and a MEMS based in situ tensile testing platform inside a TEM.