Zhang, X.; Hickel, T.; Rogal, J.; Drautz, R.; Neugebauer, J.: Atomistic origin of structural modulations in Fe ultrathin film and impact for structural transformations in Fe–C alloys. ADIS Workshop 2014, Ringberg, Germany (2014)
Neugebauer, J.: Computational coarse-graining in configuration space as basis for a predictive ab initio thermodynamics. EPSRC Symposium, Warwick, London, UK (2013)
Körmann, F.; Grabowski, B.; Palumbo, M.; Fries, S. G.; Hickel, T.; Neugebauer, J.: Strong and weak magnetic coupling in chromium. ICAMS Advanced Discussions - Current Developments, Ruhr-Universität-Bochum, Bochum, Germany (2013)
Grabowski, B.; Glensk, A.; Korbmacher, D.; Huang, L.; Körmann, F.; Hickel, T.; Neugebauer, J.: First principles at finite temperatures: New approaches and massively parallel computations. CMSI International Symposium 2013: Extending the power of computational materials sciences with K-computer, Ito International Research Center, University of Tokyo, Japan (2013)
Hickel, T.; Nazarov, R.; Neugebauer, J.: Aspekte der Wasserstoffversprödung von Stählen: Verständnisgewinn durch quantenmechanische Simulationen. AKE Workshop, DECHEMA, Frankfurt a. M, Germany (2013)
Dey, P.; Nazarov, R.; Friák, M.; Hickel, T.; Neugebauer, J.: kappa-carbides as precipitates in austenitic steels: Ab initio study of structural, magnetic and Interface properties. EUROMAT 2013, Sevilla, Spain (2013)
Neugebauer, J.: Ab initio based multiscale modeling of structural materials: From a predictive thermodynamic description to tailored mechanical properties. CECAM Conference, Platja d’Aro, Spain (2013)
Dutta, B.; Körmann, F.; Dey, P.; Hickel, T.; Neugebauer, J.: Ab-initio based prediction of chemical trends for phase transitions in magnetic shape memory alloys. Weekly Seminar, Interdisciplinary Centre for Advanced Materials Simulation (ICAMS), Ruhr-Universität Bochum, Bochum, Germany (2013)
Lymperakis, L.; Weidlich, P. H.; Eisele, H.; Schnedler, M.; Nys, J.-P.; Grandidier, B.; Stievenard, D.; Dunin-Borkowski, R.; Neugebauer, J.; Ebert, P.: Revealing Hidden Surface States of Non-Polar GaN Facets by an Ab Initio Tailored STM Approach. 10th International Conference on Nitride Semiconductors, Washigton DC, USA (2013)
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