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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
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
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…