Saood, S.; Liebscher, C.; Dehm, G.: Observing the atomic structure of high angle [111] tilt grain boundaries in Al. Materials Science and Engineering Congress MSE 2020, virtual (2020)
Tsybenko, H.; Dehm, G.; Brinckmann, S.: Deformation and chemical evolution during tribology in cementite. Materials Science and Engineering Congress (MSE) 2020, online, Darmstadt, Germany (2020)
Hosseinabadi, R.; Dehm, G.; Kirchlechner, C.: Size effect in bi-crystalline Cu micropillars with a coherent twin boundary. DGM Arbeitskreistreffen Rasterkraftmikroskopie und nanomechanische Methoden, online (2020)
Duarte, M. J.; Fang, X.; Rao, J.; Dehm, G.: Hydrogen-microstructure interactions at small scale by in-situ nanoindentation during hydrogen charging. Nanobrücken 2020: A nanomechanical Testing Conference, Düsseldorf, Germany (2020)
Dehm, G.: Probing the mechanics of dislocation - grain boundary interactions: Lessons learned from in situ microcompression experiments. 14th International Conference on Local Mechanical Properties 2019 (plenary), Prague, Czech Republic (2019)
Jeong, J.; Dehm, G.; Liebscher, C.: Advances in automatic TEM based orientation mapping with precession electron diffraction. KSM Annual Fall Conference 2019, Gyeongju, South Korea (2019)
Stein, F.; Luo, W.; Kirchlechner, C.; Dehm, G.: Micromechanics of Laves Phases: Strength, Fracture Toughness, and Hardness as Function of Composition and Crystal Structure. Joint EPRI-123 HiMAT Conference on Advances in High Temperature Materials, Nagasaki, Japan (2019)
Dehm, G.: Do we understand the microstructure and properties of materials: New insights by advanced microscopy techniques. Metallurgical Engineering and Materials Science Department, Indian Institute of Technology, Mumbai, India (2019)
Dehm, G.: Resolving grain boundary phase transformations by advanced STEM for fcc metals and multinary alloys. 6th International Symposium on Metastable, Amorphous and Nanostructured Materials (ISMANAM-2019), Chennai, India (2019)
Dehm, G.: Micro- and Nanomechanical Testing of Materials - From Materials Physics to Materials Design. Convegno Nazionale INSTM XII, Ischia Porto, Italy (2019)
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…