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
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…