Calcagnotto, M.; Ponge, D.; Adachi, Y.; Raabe, D.: Effect of grain refinement to 1 µm on deformation and fracture mechanisms in ferrite/martensite dual-phase steels. 2nd International Conference on Super-High Strength Steels SHSS, Peschiera del Garda, Italy (2010)
Dmitrieva, O.; Choi, P.; Ponge, D.; Raabe, D.; Gerstl, S. S. A.: Laser-pulsed atom probe studies of a complex maraging steel: Laser pulse energy variation and precipitate analysis. 52nd International Field Emission Symposium IFES 2010, Sydney, Australia (2010)
Ponge, D.; Raabe, D.: Nano-particles and filaments in steels: From understanding to materials design. 52nd International Field Emission Symposium IFES 2010, Sydney, Australia (2010)
Herrera, C.; Ponge, D.; Raabe, D.: Development of a high ductile lean duplex stainless steel. 2nd International Conference on Super-High Strength Steels SHSS, Peschiera del Garda, Italy (2009)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Effect of grain refinement to 1µm on the mechanical properties of dual-phase steels. European Congress and Exhibition on Advanced Materials and Processes (EUROMAT 2009), Glasgow, UK (2009)
Herrera, C.; Ponge, D.; Raabe, D.: Hot workability of 1.4362 duplex stainless steel. Euromat 2009 (European Congress and Exhibition on Advanced Materials and Processes), Glasgow, Scotland, UK (2009)
Calcagnotto, M.; Ponge, D.; Demir, E.; Raabe, D.; Zaefferer, S.: 3D-EBSD Investigation on Orientation Gradients and Geometrically Necessary Dislocations Induced by the Martensitic Phase Transformation in Ultrafine Grained Dual-Phase Steels. Interdisciplinary Symposium on 3D Microscopy, Interlaken, Switzerland (2009)
Calcagnotto, M.; Ponge, D.; Raabe, D.: Mechanical properties of ultrafine and fine grained dual phase steels. MS&T 2008 (Materials Science and Technology), Pittsburgh, PA, USA (2008)
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…