Neugebauer, J.: Ab initio thermodynamics. International Max-Planck Workshop Multiscale Materials Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Friák, M.; Neugebauer, J.: First principles study of the anomalous volume-composition effect in Fe-Al and Fe-Ga alloys. 4th Discussion Meeting on the Development of Innovative Iron Aluminum Alloys, Interlaken, Switzerland (2007)
Abu-Farsakh, H.; Neugebauer, J.: Ab-initio study of the thermodynamics and kinetics of N at GaAs(001) surface. PAW workshop 2007, Goslar, Germany (2007)
Dick, A.; Neugebauer, J.: Ab initio STM and STS simulations on magnetic and nonmagnetic metallic surfaces. Computational Materials Science Workshop, Goslar, Germany (2007)
Kim, O.; Friák, M.; Neugebauer, J.: Ab-initio study of formation energies in steel and their relations to the solubility limits of carbon in austenite and ferrite. PAW workshop 2007, Goslar, Germany (2007)
Uijttewaal, M.; Hickel, T.; Neugebauer, J.: Phase transformation of Ni_2MnGa shape memory alloy from first principles: The pre-martensitic transition. PAW workshop 2007, Goslar, Germany (2007)
Uijttewaal, M.; Hickel, T.; Grabowski, B.; Neugebauer, J.: First ab initio determination of the phase transformation of Ni_{2}MnGa: The pre-martensitic transition. e-MRS 2007 Fall Meeting, Warsaw, Poland (2007)
Neugebauer, J.: First-principles calculations on CVD growth and doping in group-III-nitride semiconductors. EuroCVD16 - Sixteenth European Conference on Chemical Vapor Deposition, The Hague, The Netherlands (2007)
Grabowski, B.; Hickel, T.; Neugebauer, J.: From ab initio to materials properties: Accuracy and error bars of DFT thermodynamics. Euromat 2007, European Congress on Advanced Materials and Processes, Nürnberg, Germany (2007)
Hickel, T.; Grabowski, B.; Uijttewaal, M.; Neugebauer, J.: Ab initio prediction of structural and thermodynamic properties of magnetic shape memory alloys. Euromat 2007, European Congress on Advanced Materials and Processes, Nürnberg, Germany (2007)
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.