Palm, M.; Distl, B.; Kahrobaee, Z.; Stein, F.; Mayer, S.; Hauschildt, K.; Rackel, M.; Pyczak, F.; Yang, Y.; Chen, H.-L.et al.; Engström, A.: ADVANCE - Advancing a CALPHAD Database for Next Generation TiAl Alloys. 65th Metal Research Colloquium organized by the Department for Metal Research and Materials Testing of the University Leoben, Lech am Arlberg, Austria (2019)
Rashkova, B.; Mendez Martin, F.; Brabetz, M.; Distl, B.; Hauschildt, K.; Stein, F.; Clemens, H.: Phase Constitution in an Intermetallic Ti-37Al-10Nb Alloy: What We Can Learn about the Phase Equilibria? MC2021, Microscopy conference 2021, ePoster, online (2021)
Distl, B.; Palm, M.; Stein, F.; Rackel, M. W.; Hauschildt, K.; Pyczak, F.: Phase equilibria investigations in the ternary Ti–Al–Nb system at elevated temperatures. Intermetallics 2019, Bad Staffelstein, Germany (2019)
Distl, B.: Phase equilibria and phase transformations of Ti–Al–X (X=Nb, Mo, W) alloys for high-temperature structural applications between 700 and 1300 °C. Dissertation, Ruhr-Universität Bochum, Fakultät für Maschinenbau, Germany (2022)
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 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.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
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…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
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.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…