Han, J.; Kang, S.-H.; Lee, S.-J.; Lee, Y.-K.: Fabrication of bimodal-grained Al-free medium Mn steel by double intercritical annealing and its tensile properties. Journal of Alloys and Compounds 681, pp. 580 - 588 (2016)
Park, J.; Han, J.; Lee, S.-J.; Yi, K.; Kwon, C.; Lee, Y.-K.: Inhomogeneity of Microstructure and Damping Capacity of a FC25 Disc-Brake Rotor and Their Interrelationship. Metallurgical and Materials Transactions A 47 (8), pp. 3933 - 3942 (2016)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…