Elkot, M.; Sun, B.; Zhou, X.; Ponge, D.; Raabe, D.: On the formation and growth of grain boundary k-carbides in austenitic high-Mn lightweight steels. Materials Research Letters 12 (1), pp. 10 - 16 (2024)
Elkot, M.; Sun, B.; Ponge, D.; Raabe, D.: Strategizing for hydrogen embrittlement by protecting the weakest microstructural element. ECF24 - European Conference on Fracture 2024 in Croatia, Zagreb, Croatia (2024)
Elkot, M.; Sun, B.; Ponge, D.; Raabe, D.: Tackling hydrogen embrittlement sensitivity and poor low-temperature toughness of austenitic high manganese lightweight steel. Thermec 2023 - International Conference on PROCESSING & MANUFACTURING OF ADVANCED MATERIALS, Vienna, Austria (2023)
Elkot, M.; Sun, B.; Ponge, D.; Raabe, D.: The deceit of steel strength ductility diagrams: A case study on high manganese lightweight steel. 7th International Conference of Engineering Against Failure ICEAF 2023, Spetses, Greece (2023)
Elkot, M.; Sun, B.; Zhou, X.; Ponge, D.; Raabe, D.: Grain boundary κ-carbides in high manganese lightweight steel: degradation assessment and potential solutions. 5th International High Manganese Steel Conference 2022, online, Linz, Austria (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
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…
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…
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…
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…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…