Zhang, S.; Mio, A.; Cagnoni, M.; Zhu, M.; Cojocaru-Mirédin, O.; Wuttig, M.; Scheu, C.: Valence EELS investigation on GeSexTe1-x phase change material. EDGE 2017: Enhanced Data Generated by Electrons, 8th International Workshop on Electron Energy Loss Spectroscopy and Related Techniques, Okuma, Okinawa, Japan (2017)
Koprek, A.; Cojocaru-Mirédin, O.; Freysoldt, C.; Würz, R.; Raabe, D.: Atomic scale investigation of the p-n Junction in CIGS based solar cells: correlation between cell efficiency and impurities. E-MRS 2014, Lille, France (2014)
Cojocaru-Mirédin, O.; Schwarz, T.; Choi, P.; Würz, R.; Raabe, D.: Characterization of Cu(In,Ga)Se2 grain boundaries using atom probe tomography. 2013 MRS Spring Meeting & Exhibit, San Francisco, CA, USA (2013)
Cojocaru-Mirédin, O.; Choi, P.; Wuerz, R.; Raabe, D.: Atomic-scale analysis of the p-n junction in CI(G)S thin-film solar cells. Euromat 2011, Montpellier, France (2011)
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
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…