Raabe, D.; Li, Y.; Ponge, D.; Sandlöbes, S.; Choi, P.; Hickel, T.; Kirchheim, R.; Neugebauer, J.: Transformations in Steels. German-Chinese High-level Workshop on “Microstructure-driven Design and Performance of Advanced Metals”, Institute of Metals Research (IMR) of the Chinese Academy of Science (CAS), Shenyang, China (2013)
Raabe, D.; Li, Y.; Ponge, D.; Sandlöbes, S.; Choi, P.-P.; Hickel, T.; Kirchheim, R.; Neugebauer, J.: Nanoscale Transformations in Steels. German-Chinese High-level Workshop on “Microstructure-driven Design and Performance of Advanced Metals”, Institute of Metals Research (IMR) of the Chinese Academy of Science (CAS), Shenyang, China (2013)
Cojocaru-Mirédin, O.; Schwarz, T.; Choi, P.; Würz, R.; Abou-Ras, D.; Dietrich, J.; Raabe, D.: Exploring the internal interfaces at the atomic-scale in Cu(In,Ga)Se2 thin-films solar cells. 1st EU APT Workshop, CEA/MINATEC, Grenoble, France (2012)
Cojocaru-Mirédin, O.; Choi, P.; Würz, R.; Abou-Ras, D.; Raabe, D.: Study on internal interfaces in CIGS thin-films solar cells using atom probe tomography. 27th EU PVSEC, Frankfurt, Germany (2012)
Schwarz, T.; Cojocaru-Mirédin, O.; Choi, P.; Würz, R.: Atomic-scale analysis of Cu(In,Ga)Se2 grain boundaries. 27th European Photovoltaic Solar Energy Conference and Exhibition, Frankfurt a. M., Germany (2012)
Schwarz, T.; Cojocaru-Mirédin, O.; Choi, P.; Würz, R.: Study of impurities redistribution inside the cigs absorber layer by atom probe tomography. Photovoltaic Technical Conference - Thin Film & Advanced Silicon Solutions 2012 (PVTC 2012), Aix-en-Provence, France (2012)
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…