Grabowski, B.; Hickel, T.; Neugebauer, J.: From ab initio to materials properties: Accuracy and error bars of DFT thermodynamics. MMM Workshop, Barcelona, Spain (2007)
Hickel, T.; Uijttewaal, M.; Grabowski, B.; Neugebauer, J.: Ab initio prediction of structural and thermodynamic properties of metals. International Max-Planck Workshop on Multiscale Materials Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Hickel, T.; Neugebauer, J.: Ab initio description of grain boundaries and diffusion processes. Arbeitstreffen der Helmholtz-Allianz „HYPER“,, Darmstadt (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature dependent properites of Ni2MnGa – An ab initio approach -. European Symposium on Martensitic Transformations (ESOMAT), Bochum (2006)
Hickel, T.: Ab initio description of Iron and Steel - The department of computational materials design -. Visit of ISIT at MPIE, MPIE, Düsseldorf (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Ferromagnetic shape memory alloys: Thermodynamic and magnetic properites. Joint group meeting at Material Research Laboratory of University of California, Santa Barbara, Santa Barbara, USA (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature and magnetic field dependent properites of Ni2MnGa. Kolloquium zur Festkörpertheorie, Institut für Physik der Humboldt-Universtität zu Berlin, Berlin, Germany (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature and magnetic field dependent properites of Ni2MnGa. DPG Spring Meeting of the Division Condensed Matter, Dresden, Germany (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature dependent properites of Shape-memory alloys. Physics Seminar of Loughborough University, Loughborough, UK (2006)
Hickel, T.; Neugebauer, J.: Temperature-dependent ab initio investigation of the martensitic phase transition in magnetic SMAs. Kickoff-Workshop of SPP1239, Dresden, Germany (2005)
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