Wang, Z.; Lu, W.; Min Song, F. A.; Ponge, D.; Raabe, D.; Li, Z.; Li, Z.: High stress twinning in a compositionally complex steel of very high stacking fault energy. Nature Communications 13, 3598 (2022)
Aota, L. S.; Bajaj, P.; Zilnyk, K. D.; Ponge, D.; Zschommler Sandim, H. R.: The origin of abnormal grain growth upon thermomechanical processing of laser powder-bed fusion alloys. Materialia 20, 101243 (2021)
Varanasi, R. S.; Zaefferer, S.; Sun, B.; Ponge, D.: Localized deformation inside the Lüders front of a medium manganese steel. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 824, 141816 (2021)
Benzing, J. T.; Luecke, W. E.; Mates, S. P.; Ponge, D.; Raabe, D.; Wittig, J. E.: Intercritical annealing to achieve a positive strain-rate sensitivity of mechanical properties and suppression of macroscopic plastic instabilities in multi-phase medium-Mn steels. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 803, 140469 (2021)
Wu, X.; Mayweg, D.; Ponge, D.; Li, Z.: Microstructure and deformation behavior of two TWIP/TRIP high entropy alloys upon grain refinement. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 802, 140661 (2021)
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 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…
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…