Rusitzka, A. K.; Stephenson, L.; Gremer, L.; Raabe, D.; Willbold, D.; Gault, B.: Getting insights to Alzheimer‘s disease by atom probe tomography. 6th International caesar conference, Overcoming Barriers — atomic-resolution and beyond: advances in molecular electron microscopy, Bonn, Germany (2017)
Diehl, M.; Kühbach, M.; Broß, C.; Raabe, D.: Experimental-Numerical Analysis of Primary Recrystallization in DC04 Low Carbon Steel. Gordon Research Conference on Physical Metallurgy: Frontiers of Quantification and Predictive Capability in Physical Metallurgy, University of New England, Biddeford, ME, USA (2017)
Kwiatkowski da Silva, A.; Ponge, D.; Inden, G.; Gault, B.; Raabe, D.: Physical Metallurgy of segregation, austenite reversion, carbide precipitation and related phenomena in medium Mn steels. Gordon Research Conference: Physical Metallurgy, Biddeford, ME, USA (2017)
Broß, C.; Diehl, M.; Raabe, D.: Quasi In-Situ Untersuchung der statischen Rekristallisation in DC04 Stahl. Fachtagung für Mikroskopie und Präparation MikPräp 2017, Solingen, Germany (2017)
Zhang, J.; Raabe, D.; Lai, M.; Yan, D.; Tasan, C. C.: Site-preferential recrystallization and nano-precipitation to achieve improved mechanical properties. MRS Fall Meeting 2016, Boston, MA, USA (2016)
Haghighat, S. M. H.; Reed, R. C.; Raabe, D.: Modeling of dislocation mechanisms and the influence of the γ/γ´lattice misfit on the dislocation assisted creep of high temperature Ni-base superalloys. 7th International Conference on Multiscale Materials Modeling , Berkeley, CA, USA (2014)
Belde, M. M.; Springer, H.; Inden, G.; Raabe, D.: Tailoring multi-phase steel microstructures by controlling local chemical gradients. MSE 2014, Darmstadt, Germany (2014)
Neddermann, P.; Ponge, D.; Raabe, D.: Influence of Chromium on the Low Temperature Austenite Reversion through Local Equilibrium in Martensitic Stainless Steel. MSE 2014, Darmstadt, Germany (2014)
Nellessen, J.; Sandlöbes, S.; Raabe, D.: Systematic Investigation of the Influence of Strain Amplitude, Orientation and Cycle Number on the Dislocation Structures Formed during Low Cycle Fatigue. MSE 2014, Darmstadt, Germany (2014)
Koprek, A.; Cojocaru-Mirédin, O.; Freysoldt, C.; Würz, R.; Raabe, D.: Atomic scale investigation of the p-n Junction in CIGS based solar cells: correlation between cell efficiency and impurities. E-MRS 2014, Lille, France (2014)
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
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…
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…
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…
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…