Dmitrieva, O.; Ponge, D.; Inden, G.; Millán, J.; Choi, P.; Sietsma, J.; Raabe, D.: Chemical gradients across phase boundaries between martensite and austenite in steel studied by atom probe tomography and simulation. Acta Materialia 59 (1), pp. 364 - 374 (2011)
Millán, J.; Ponge, D.; Raabe, D.; Choi, P.; Dmitrieva, O.: Characterization of Nano-Sized Precipitates in a Mn-Based Lean Maraging Steel by Atom Probe Tomography. Steel Research Int. 82, pp. 137 - 145 (2011)
Ponge, D.; Millán, J.; Dmitrieva, O.; Sander, B.; Kostka, A.; Raabe, D.: Ultra high strength steel design by using nanoparticles. In: Proceedings Book 2nd Inter. Symp. Steel Science ISSS 2009 (Ed. K, H. N.T.). Proceedings 2nd Inter. Symp. Steel Science ISSS 2009, Kyoto, Japan, October 21, 2009 - October 24, 2009. The Iron and Steel Institute of Japan, Japan (2009)
Dmitrieva, O.; Ponge, D.; Millán, J.; Choi, P.; Raabe, D.: Study of local chemical gradients in advanced precipitation hardened TRIP steel. 52nd International Field Emission Symposium IFES 2010, Sydney, Australia (2010)
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…