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Ko, W.-S.; Shim, J.-H.; Jung, W.-S.; Lee, B.-J.: Computational screening of alloying elements for the development of sustainable V-based hydrogen separation membranes. Journal of Membrane Science 497, pp. 270 - 281 (2016)
Ko, W.-S.; Grabowski, B.; Neugebauer, J.: Development and application of a Ni–Ti interatomic potential with high predictive accuracy of the martensitic phase transition. Physical Review B 92 (13), 134107 (2015)
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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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
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…