Brognara, A.; Best, J. P.; Djemia, P.; Faurie, D.; Dehm, G.; Ghidelli, M.: Effect of composition and nanolayering on mechanical properties of Zr100-xCux thin film metallic glasses. Talk at Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium (2022)
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)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
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…