Dehm, G.: Resolving the mechanical performance of materials in microelectronic components with µm spatial resolution. FIMPART - Frontiers in Materials Processing Applications, Research and Technology, Bordeaux, France (2017)
Duarte, M. J.; Fang, X.; Brinckmann, S.; Dehm, G.: In-situ nanoindentation of hydrogen bcc Fe–Cr charged surfaces: Current status and future perspectives. Frontiters in Material Science & Engineering workshop: Hydrogen Interaction in Metals, Max-Planck Institut für Eisenforschung, Düsseldorf, Germany (2017)
Brinckmann, S.; Fink, C.; Dehm, G.: Severe Microscale Deformation of Pearlite and Cementite. 2017 MRS Spring Meeting & Exhibits, Phoenix, AZ, USA (2017)
Luo, W.; Kirchlechner, C.; Dehm, G.; Stein, F.: Fracture Toughness of Hexagonal and Cubic NbCo2 Laves Phases. Nanobrücken 2017, European Nanomechanical Testing Conference, University of Manchester, Manchester, UK (2017)
Dehm, G.: Resolving the interplay of nanostructure and mechanical properties in advanced materials. Karlsruher Werkstoffkolloquium im Wintersemester 2016/2017, Karlsruhe, Germany (2017)
Dehm, G.: Towards thermally stable nanocrystalline alloys with exceptional strength: Cu–Cr as a case study. 16th International Conference on Rapidly Quenched and Metastable Materials (RQ16), Leoben, Austria (2017)
Dehm, G.; Harzer, T. P.; Liebscher, C.; Raghavan, R.: High Temperature Plasticity of Cu–Cr Nanolayered and Chemically Nanostructured Cu–Cr Films. 2017 TMS Annual Meeting & Exhibition, San Diego, CA, USA (2017)
Dehm, G.; Malyar, N.; Kirchlechner, C.: Towards probing the barrier strength of grain boundaries for dislocation transmission. Electronic Materials and Applications 2017, Orlando, FL, USA (2017)
Dehm, G.; Malyar, N.; Kirchlechner, C.: Do we understand dislocation transmission through grain boundaries? PICS meeting, Luminy, Marseille, France (2017)
Jaya, B. N.; Kirchlechner, C.; Dehm, G.: Fracture Behavior of Nanostructured Heavily Cold Drawn Pearlite: Influence of the Interface. TMS 2017, San Diego, CA, USA (2017)
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
The structure of grain boundaries (GBs) is dependent on the crystallographic structure of the material, orientation of the neighbouring grains, composition of material and temperature. The abovementioned conditions set a specific structure of the GB which dictates several properties of the materials, e.g. mechanical behaviour, diffusion, and…
The goal of this project is to develop an environmental chamber for mechanical testing setups, which will enable mechanical metrology of different microarchitectures such as micropillars and microlattices, as a function of temperature, humidity and gaseous environment.
Water electrolysis has the potential to become the major technology for the production of the high amount of green hydrogen that is necessary for its widespread application in a decarbonized economy. The bottleneck of this electrochemical reaction is the anodic partial reaction, the oxygen evolution reaction (OER), which is sluggish and hence…
The computational materials design department in collaboration with the Technical University Darmstadt and the Ruhr University Bochum developed a workflow to calculate phase diagrams from ab-initio. This achievement is based on the expertise in the ab-initio thermodynamics in combination with the recent advancements in machine-learned interatomic…
The project focuses on development and design of workflows, which enable advanced processing and analyses of various data obtained from different field ion emission microscope techniques such as field ion microscope (FIM), atom probe tomography (APT), electronic FIM (e-FIM) and time of flight enabled FIM (tof-FIM).
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.