He, D.; Zhu, J.; Zaefferer, S.; Raabe, D.: Effect of retained beta layer on slip transmission in Ti–6Al–2Zr–1Mo–1V near alpha titanium alloy during tensile deformation at room temperature. Materials and Design 56, pp. 937 - 942 (2014)
Zhu, M.; Sun, D.; Pan, S.; Zhang, Q.; Raabe, D.: Modelling of dendritic growth during alloy solidification under natural convection. Modelling and Simulation in Materials Science and Engineering 22 (3), 034006 (2014)
Koyama, M.; Springer, H.; Merzlikin, S. V.; Tsuzaki, K.; Akiyama, E.; Raabe, D.: Hydrogen embrittlement associated with strain localization in a precipitation-hardened Fe–Mn–Al–C light weight austenitic steel. International Journal of Hydrogen Energy 39 (9), pp. 4634 - 4646 (2014)
Wen, Y.; Peng, H.; Si, H.; Xiong, R.; Raabe, D.: A novel high manganese austenitic steel with higher work hardening capacity and much lower impact deformation than Hadfield manganese steel. Materials and Design 55, pp. 798 - 804 (2014)
Toji, Y.; Matsuda, H.; Herbig, M.; Choi, P.; Raabe, D.: Atomic-scale analysis of carbon partitioning between martensite and austenite by atom probe tomography and correlative transmission electron microscopy. Acta Materialia 65, pp. 215 - 228 (2014)
Haghighat, S. M. H.; Schäublin, R. E.; Raabe, D.: Atomistic simulation of the a0 <1 0 0> binary junction formation and its unzipping in body-centered cubic iron. Acta Materialia 64, pp. 24 - 32 (2014)
Song, W.; Choi, P.; Inden, G.; Prahl, U.; Raabe, D.; Bleck, W.: On the Spheroidized Carbide Dissolution and Elemental Partitioning in High Carbon Bearing Steel 100Cr6. Metallurgical and Materials Transactions A 45 (2), pp. 595 - 606 (2014)
Yao, M.; Pradeep, K. G.; Tasan, C. C.; Raabe, D.: A novel, single phase, non-equiatomic FeMnNiCoCr high-entropy alloy with exceptional phase stability and tensile ductility. Scripta Materialia 72–73, pp. 5 - 8 (2014)
Alankar, A.; Field, D. P.; Raabe, D.: Plastic anisotropy of electro-deposited pure alpha-iron with sharp crystallographic <1 1 1>// texture in normal direction: Analysis by an explicitly dislocation-based crystal plasticity model. International Journal of Plasticity 52, pp. 18 - 32 (2014)
Gutiérrez-Urrutia, I.; Böttcher, A.; Lahn, L.; Raabe, D.: Microstructure-magnetic property relations in grain-oriented electrical steels: quantitative analysis of the sharpness of the Goss orientation. Journal of Materials Science 49 (1), pp. 269 - 276 (2014)
Ram, F.; Zaefferer, S.; Raabe, D.: Kikuchi bandlet method for the accurate deconvolution and localization of Kikuchi bands in Kikuchi diffraction patterns. Journal of Applied Crystallography 47, pp. 264 - 275 (2014)
Marceau, R. K. W.; Gutiérrez-Urrutia, I.; Herbig, M.; Moore, K. L.; Lozano-Perez, S.; Raabe, D.: Multi-Scale Correlative Microscopy Investigation of both Structure and Chemistry of Deformation Twin Bundles in Fe–Mn–C TWIP Steel. Microscopy & Microanalysis 19 (6), pp. 1581 - 1585 (2013)
Song, W.; von Appen, J.; Choi, P.; Dronskowski, R.; Raabe, D.; Bleck, W.: Atomic-scale investigation of epsilon and theta precipitates in bainite in 100Cr6 bearing steel by atom probe tomography and ab initio calculations. Acta Materialia 61 (20), pp. 7582 - 7590 (2013)
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…