Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Chemical Trends for Phase Transitions in Magnetic Shape Memory Alloys Derived from First Principles. TMS2011, San Diego, CA, USA (2011)
von Pezold, J.; Udyansky, A.; Aydin, U.; Hickel, T.; Neugebauer, J.: Strain-Induced Metal-Hydrogen Interactions across the First Transition Series – An Ab Initio Study of Hydrogen Embrittlement. TMS 2011 Meeting, San Diego, CA, USA (2011)
Neugebauer, J.: Ab initio based modeling of metallic alloys: From a predictive thermodynamic description to tailored mechanical properties. Colloquium at University of California-Santa Barbara, Santa Barbara, CA, USA (2011)
Race, C. P.; von Pezold, J.; Neugebauer, J.: Grain Boundary Kinetics in Molecular Dynamics: The Effect of the Driving Force on Mobility and Migration Mechanisms. TMS 2011, San Diego, CA, USA (2011)
Sandlöbes, S.; Friák, M.; Dick, A.; Zaefferer, S.; Pei, Z.; Neugebauer, J.; Raabe, D.: Combining ab initio calculations and high-resolution experiments to understand advanced Mg alloys. German-Korean workshop on the “Production and industrial applications of semi-finished Mg products”, Irsee, Germany (2011)
Todorova, M.; Neugebauer, J.: On the accuracy of ion hydration energies - An ab initio study. 1st Austrian-German workshop on Computational Materials Design, Kramsach, Austria (2011)
Neugebauer, J.: Ab initio based multiscale modeling of advanced electronic, structural and biological materials. Colloquium at Montan-Universiät Leoben, Leoben, Austria (2010)
Neugebauer, J.: Ab-initio Determination of Magnetic Free Energies at Finite Temperatures For Realistic Materials. ICAUMS Conference, Jeju Island, South Korea (2010)
Fabritius, H.; Nikolov, S.; Hild, S.; Ziegler, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Design Principles of Load-bearing Cuticle from different Crustacean Species evaluated experimentally and by Ab initio-based Multiscale Simulations. MRS Fall Meeting 2010, Boston, MA, USA (2010)
Neugebauer, J.: Ab-initio Based Modeling of Novel High-strength Steels: From a predictive Thermodynamic Description to Tailored Mechanical Properties. MRS Fall Meeting, Boston, MA, USA (2010)
Neugebauer, J.: Ab-initio Determination of Free Energies at Finite Temperatures for High-Throughput Modeling. International Workshop Materials Discovery by Scale-Bridging High-Throughput Experimentation and Modeling, Ruhr-Universität Bochum, Germany (2010)
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
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…