Ponge, D.: The formation of ultrafine grained microstructure in a plain C-Mn steel. International Symposium of Ultrafine Grained Steels ISUGS-2007, Kitakyushu, Japan (2007)
Ponge, D.: Warmumformbarkeit von Stahl. Kontaktstudium Werkstofftechnik Stahl, Teil III, Technologische Eigenschaften, Institut für Umformtechnik und Umformmaschinen (IFUM), Universität Hannover (2006)
Ponge, D.: Modern high strength steels for automotive applications. Robust Processes with Modern Steels, INPRO Innovationsgesellschaft für fortgeschrittene Produktionssysteme in der Fahrzeugindustrie mbH, Berlin, Germany (2006)
Romano, P.; Barani, A.; Ponge, D.; Raabe, D.: Design of High-Strength Steels by microalloying and thermomechanical treatment. TMS 2006, San Antonio, TX, USA (2006)
Ponge, D.; Song, R.; Ardehali Barani, A.; Raabe, D.: Thermomechanical Processing Research at the Max Planck Institute for Iron Research. FORTY FIRST SEMIANNUAL TECHNICAL PROGRAM REVIEW, Golden, CO, Colorado School of Mines, Advanced Steel Processing and Products Research Center (2005)
Ponge, D.; Detroy, S.: Quantitative Phase Determination of Bainitic/Martensitic Steels. EUROMAT 2005, European Congress and Exhibition on Advanced Materials and Processes, Czech Technical University in Prague (2005)
Song, R.; Ponge, D.; Kaspar, R.: Review of the properties and methods for production of ultrafine grained steels. Lecture at the SMEA Conference 2003, Sheffield (2004)
Ponge, D.: Bericht aus der Arbeitsgruppe Weiterentwicklung Umformdilatometer. Lecture at the Sitzung des Werkstoffausschusses (Arbeitskreis Umformdilatometrie), Stahlinstitut VDEh, Düsseldorf, Germany (2004)
Ponge, D.: Warmumformbarkeit von Stahl. Lecture at the Seminar 15/04, Kontaktstudium Werkstofftechnik Stahl, Teil III, Technologische Eigenschaften, Institut für Bildung im Stahl-Zentrum, Stahlinstitut VDEh (2004)
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
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…
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.