Kini, M. K.; Nandy, S.; Best, J. P.; Dehm, G.: Deformation of CoCrFeNi alloy thin films under thermal fatigue. International Conference on Creep and Fracture of Engineering Materials and Structures CREEP 2024, Bangalore, India (2024)
Kanjilal, A.; Best, J. P.; Dehm, G.: Using in-situ nano- and micromechanical testing to probe the fracture behavior of intermetallic Laves phase materials. 7th International Indentation Workshop – IIW7, Hyderabad, India (2023)
Dehm, G.: Resolving the interplay of structure and energy landscapes of tilt grain boundaries in metals. 3rd ELSICS Conference and Bunsen-Colloquium “Energy Landscapes and Structure in Ion Conducting Solids (ELSICS)”, Ulm, Germany (2023)
Dehm, G.; Liebscher, C.: In situ TEM study of deformation and phase transformation mechanisms in chemically complex alloys. Symposium In-situ & Environmental Microscopy, 20th International Microscopy Congress, Busan, Korea (2023)
Kanjilal, A.; Rehman, U.; Best, J. P.; Dehm, G.: Role of temperature on micromechanical fracture behaviour of Laves phase in Mg–Al–Ca ternary alloy. FEMS EUROMAT 2023, Frankfurt, Germany (2023)
Kanjilal, A.; Rehman, U.; Best, J. P.; Dehm, G.: Role of temperature on micromechanical fracture behavior of Laves phase in Mg–Al–Ca ternary alloy. FEMS Euromat 2023, Frankfurt am Main, Germany (2023)
Brink, T.; Langenohl, L.; Ahmad, S.; Liebscher, C.; Dehm, G.: Atomistic Modeling of the Thermodynamics of Grain Boundaries in fcc Metals. 19th International Conference on Diffusion in Solids and Liquids, Crete, Greece (2023)
Dehm, G.: Grain boundary phases in metallic materials: Structure, stability and properties. MiFuN III - Microstructural Functionality at the Nanoscale, Venice, Italy (2023)
Dehm, G.: On the interplay between grain boundary complexions and chemical composition for fcc metals. Possibilities and Limitations of Quantitative Materials Modeling and Characterization 2023, Bernkastel-Kues, Germany (2023)
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…