Lee, J. S.; Dehm, G.; Best, J. P.; Stein, F.: Mechanical properties of B2 FeAl as a function of composition using targeted nanoindentation on diffusion couples. ECI Conference on Nanomechanical Testing in Materials Research and Development, Giardini Naxos, Messina (Sicily), Italy (2024)
Sahu, S.; Dehm, G.; Best, J. P.: High Temperature micropillar compression of Hematite: Insights and experimental challenges. Materials Research and Development IX ECI, Messina (Sicily), Italy (2024)
Riedel, J. L.; Kauffmann, A.; Nizamoglu, S.; Guth, S.; Best, J. P.; Lee, J. S.; Stein, F.; Heilmaier, M.: Application of a novel testing scheme for single-specimen brittle-to-ductile-transition temperature determination to Iron-Aluminides. MSE 2024, Darmstadt, Germany (2024)
Bhat, M. K.; Frommeyer, L.; Prithiv, T. S.; Dehm, G.; Best, J. P.: Using small-scale mechanics to probe the origins of segregation-induced strengthening. Nanomechanical Testing in Materials Research and Development VIII, Split, Croatia (2022)
Rehman, U.; Tian, C.; Stein, F.; Best, J. P.; Dehm, G.: Fracture Toughness of the Intermetallic C15 Al2Ca Laves Phase Determined using a Micropillar Splitting Technique. Intermetallics 2021, Educational Center Kloster Banz, Bad Staffelstein, Germany (2021)
Brognara, A.; Best, J. P.; Djemia, P.; Faurie, D.; Ghidelli, M.; Dehm, G.: On the mechanical properties and thermal stability of ZrxCu100-x thin film metallic glasses with different compositions. Nanobrücken 2021 - Nanomechanical Testing Conference virtual event, Düsseldorf, Germany (2021)
Brognara, A.; Best, J. P.; Djemia, P.; Faurie, D.; Ghidelli, M.; Dehm, G.: Effect of composition on mechanical properties and thermal stability of ZrCu thin film metallic glasses. European Materials Research Society (E-MRS) Spring Meeting 2021, Virtual Conference, Strasbourg, France (2021)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
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.