Hosseinabadi, R.; Riesch-Oppermann, H.; Best, J. P.; Dehm, G.; Kirchlechner, C.: Size-dependent coherent twin boundary strength contribution in Cu micropillars. Nanomechanical Testing in Materials Research and Development VIII, Split, Croatia (2022)
Hosseinabadi, R.; Riesch-Oppermann, H.; Best, J. P.; Dehm, G.; Kirchlechner, C.: Size effect in bi-crystalline Cu micropillars with a coherent twin boundary. ECI conference 2022, Nanomechanical Testing in Materials Research and Development VIII, Split, Croatia (2022)
Jentner, R.; Best, J. P.; Kirchlechner, C.; Dehm, G.: Challenges in the phase identification of steels using unsupervised clustering of nanoindentation data. Nanomechanical Testing in Materials Research and Development VIII, Split, Croatia (2022)
Pemma, S.; Brink, T.; Janisch, R.; Dehm, G.: Stress driven grain boundary migration for different complexions of a Cu tilt grain boundary. Materials Science and Engineering Congress 2022, Darmstadt, Germany (2022)
Dehm, G.: New insights on the atomic grain boundary structure in pure and alloyed Cu and Fe. 10th International Workshop on Interfaces, Santiago de Compostele, Spain (2022)
Dehm, G.: Structure and properties of tilt grain boundaries in Cu thin films. Graduiertenkollegs GRK1896 „In situ microsopy with electrons, X-rays and scanning probes: Abschlusssymposium, Erlangen, Germany (2022)
Dehm, G.: Grain Boundary Phases (Complexions) in Pure and Alloyed Cu: Insights from Advanced Electron Microscopy and Molecular Dynamics. Gordon Research Conference Structural Nanomaterials, Les Diablerets, Switzerland (2022)
Dehm, G.: Grain boundary phase transitions in pure and alloyed Cu. Possibilities and Limitations of Quantitative Materials Modeling and Characterization 2022, Berndkastel-Kues, Germany (2022)
Dehm, G.; Rao, J.; Duarte, M. J.: Impact of Hydrogen on Dislocation Nucleation and Strength in bcc Fe–Cr alloys. TMS 2022 Annual Meeting, Symposium “Mechanical Behavior at the Nanoscale VI”, Anaheim, CA, USA (2022)
Hosseinabadi, R.; Best, J. P.; Kirchlechner, C.; Dehm, G.: Impact of an incoherent twin boundary on the mechanical response of Cu bi-crystalline micropillars. 11th European Solid Mechanics Conference - ESMC 2022, Galway, Ireland (2022)
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…