Neugebauer, J.: The role of hydrogen-hydrogen interaction in understanding H embrittlement: An ab initio guided multiscale approach. Hydrogen Conference, London, UK (2014)
Neugebauer, J.: Ab initio based design of structural materials: Status and challenges. Expertenpanel Computer Simulation of Material Structures and Properties, Schott AG , Mainz, Germany (2014)
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)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.