Eleno, L. T. F.; Balun, J.; Inden, G.; Schön, C. G.: Phase equilibria in the Fe–Rh–Ti system II. CVM Calculations. Intermetallics 15 (9), pp. 1248 - 1256 (2007)
Eleno, L. T. F.; Schön, C. G.; Balun, J.; Inden, G.: Experimental study and Cluster Variation modelling of the A2/B2 equilibria at the Ti-rich side of the Ti–Fe system. Zeitschrift für Metallkunde 95 (6), pp. 464 - 468 (2004)
Eleno, L. T. F.; Schön, C. G.; Balun, J.; Inden, G.: Prototype Calculations of B2 Miscibility Gaps in Ternary B.C.C. Systems with Strong Ordering Tendencies. Intermetallics 11, pp. 1245 - 1252 (2003)
Eleno, L. T. F.; Schön, C. G.; Balun, J.; Inden, G.: CVM calculations in the bcc Fe–Rh–Ti system. Calphad XXXIV – International Conference on Phase Diagram Calculations and Associated Subjects, Maastricht, The Netherlands (2005)
Eleno, L. T. F.; Balun, J.; Inden, G.; Houserova, J.; Schneider, A.: Experimental study and thermodynamic modelling of the Fe-Ta equilibrium phase diagram. TOFA, Discussion Meeting on Thermodynamics of Alloys, Wien, Austria (2004)
Balun, J.; Houserova, J.; Kroupa, A.; Inden, G.: The modelling of important intermetallic phases, existing in Fe-based systems by the combined CALPHAD and ab-initio approach. CALPHAD XXXIII, Krakow, Poland (2004)
Balun, J.; Inden, G.; Eleno, L. T. F.; Schön, C. G.: Phase Equilibria in the Ternary Fe–Rh–Ti System. TMS Annual Meeting 2003, International Symposium on Intermetallic and Advanced Metallic Materials – A Symposium dedicated to Dr. C.T. Liu, San Diego, CA, USA (2003)
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
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…
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.