An, D.; Zaefferer, S.: Formation mechanism of dislocation patterns under low cycle fatigue of a high-manganese austenitic TRIP steel with dominating planar slip mode. International Journal of Plasticity 121, pp. 244 - 260 (2019)
Rogowitz, A.; Zaefferer, S.; Dubosq, R.: Direct observation of dislocation nucleation in pyrite using combined electron channelling contrast imaging and electron backscatter diffraction. Terra Nova 30 (6), pp. 423 - 430 (2018)
Nayyeri, G.; Poole, W. J.; Sinclair, C. W.; Zaefferer, S.: Measurement of the critical resolved shear stress for basal slip in magnesium alloys using instrumented indentation. Scripta Materialia 156, pp. 37 - 41 (2018)
An, D.; Griffiths, T. A.; Konijnenberg, P. J.; Mandal, S.; Wang, Z.; Zaefferer, S.: Correlating the five parameter grain boundary character distribution and the intergranular corrosion behaviour of a stainless steel using 3D orientation microscopy based on mechanical polishing serial sectioning. Acta Materialia 156, pp. 297 - 309 (2018)
Archie, F. M. F.; Zaefferer, S.: On variant selection at the prior austenite grain boundaries in lath martensite and relevant micro-mechanical implications. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 731, pp. 539 - 550 (2018)
Breitbarth, E.; Zaefferer, S.; Archie, F. M. F.; Besel, M.; Raabe, D.; Requena, G.: Evolution of dislocation patterns inside the plastic zone introduced by fatigue in an aged aluminium alloy AA2024-T3. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 718, pp. 345 - 349 (2018)
Stechmann, G.; Zaefferer, S.; Raabe, D.: Molecular statics simulation of CdTe grain boundary structures and energetics using a bond-order potential. Modelling and Simulation in Materials Science and Engineering 26 (4), 045009 (2018)
Nayyeri, G.; Poole, W. J.; Sinclair, C. W.; Zaefferer, S.: The role of indenter radius on spherical indentation of high purity magnesium loaded nearly parallel to the c-axis. Scripta Materialia 137, pp. 119 - 122 (2017)
Wang, Z.; Zaefferer, S.: On the accuracy of grain boundary character determination by pseudo-3D EBSD. Materials Characterization 130, pp. 33 - 38 (2017)
Archie, F. M. F.; Li, X. L.; Zaefferer, S.: Micro-damage initiation in ferrite-martensite DP microstructures: A statistical characterization of crystallographic and chemical parameters. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 701, pp. 302 - 313 (2017)
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…