Pierce, D. T.; Jiménez, J. A.; Bentley, J.; Raabe, D.: The influence of manganese content on the stacking fault and austenite/epsilon-martensite interfacial energies in Fe–Mn–(Al–Si) steels investigated by experiment and theory. Acta Materialia 68, pp. 238 - 253 (2014)
Pradeep, K. G.; Herzer, G.; Choi, P.; Raabe, D.: Atom probe tomography study of ultrahigh nanocrystallization rates in FeSiNbBCu soft magnetic amorphous alloys on rapid annealing. Acta Materialia 68, pp. 295 - 309 (2014)
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)
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…
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…
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…