Brink, T.; Bhat, M. K.; Best, J. P.; Dehm, G.: Grain-boundary segregation effects on bicrystal Cu pillar compression. DPG Spring Meeting, Dresden, Germany (2023)
Kanjilal, A.; Rehman, U.; Best, J. P.; Dehm, G.: Microscale fracture behavior of Laves phases in the Mg–Ca–Al ternary alloy system. 86. Annual Meeting of DPG and DPG-Frühjahrstagung (DPG Spring Meeting) of the Matter and Cosmos Section (SMuK), Dresden, Germany (2023)
Kanjilal, A.; Rehman, U.; Best, J. P.; Dehm, G.: Microscale fracture behavior of Laves phases in the Mg–Ca–Al ternary alloy system. DPG-Frühjahrstagung (DPG Spring Meeting) of the Condensed Matter Section (SKM), Dresden, Germany (2023)
Pemma, S.; Janisch, R.; Dehm, G.; Brink, T.: Deformation mechanism of complexions in a Cu grain boundary under shear. FEMS EUROMAT 2023, Frankfurt am Main, Germany (2023)
Pemma, S.; Janisch, R.; Dehm, G.; Brink, T.: Disconnection activation in complexions of a Cu grain boundary under shear. 19th International Conference on Diffusion in Solids and Liquids (DSL-2023), Heraklion, Greece (2023)
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)
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…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…