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)
Ponge, D.: Charakterisierung des Umwandlungsverhaltens bei der Simulation moderner Direktwalzprozesse. Lecture at the Sitzung des Werkstoffausschusses (Unterausschuss für Metallographie, Werkstoffanalytik und –simulation), Stahlinstitut VDEh, Düsseldorf (2004)
Ponge, D.: Bericht aus der Arbeitsgruppe Weiterentwicklung Umformdilatometer. Lecture at the Sitzung des Werkstoffausschusses (Arbeitskreis Umformdilatometrie), Stahlinstitut VDEh, Düsseldorf, Germany (2004)
Song, R.; Ponge, D.; Kaspar, R.: Microstructure and mechanical properties of ultrafine grained steels. Lecture at the workshop KUL-UGent-RWTH-MPIE, Gent University (2004)
Ponge, D.; Song, R.; Kaspar, R.: The effect of Mn on the microstructure and mechanical properties after heavy warm rolling of C-Mn steel. Lecture at the 2004 TMS annual meeting in Charlotte, North Carolina, USA (2004)
Ponge, D.: Arbeiten des MPI für Eisenforschung auf dem Gebiet der feinkörnigen Stähle. Lecture at the Sitzung des Arbeitsausschusses des Werkstoffausschusses, Stahlinstitut VDEh, Düsseldorf, Germany (2004)
Ponge, D.: Hochfeste Baustähle und deren schweißtechnische Verarbeitung. Berufsfortbildung Deutscher Verband für Schweißen und verwandte Verfahren e. V., Hamburg (2003)
Storojeva, L.; Kaspar, R.; Ponge, D.: Ferritic-Pearlitic Steel with Deformation Induced Spheroidized Cementite. Lecture at the International Conference on Processing & Manufacturing of Advanced Materials THERMEC'2003, Leganes, Madrid, Spain (2003)
Kwiatkowski da Silva, A.; Ponge, D.; Inden, G.; Gault, B.; Raabe, D.: Physical Metallurgy of segregation, austenite reversion, carbide precipitation and related phenomena in medium Mn steels. Gordon Research Conference: Physical Metallurgy, Biddeford, ME, USA (2017)
Neddermann, P.; Ponge, D.; Raabe, D.: Influence of Chromium on the Low Temperature Austenite Reversion through Local Equilibrium in Martensitic Stainless Steel. MSE 2014, Darmstadt, Germany (2014)
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…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…