von Pezold, J.; Lymperakis, L.; Neugebauer, J.: Understanding embrittlement in metals: A multiscale study of the Hydrogen-enhanced local plasticity mechanism. Materials Research Society (MRS) Fall meeting, Boston, MA, USA (2009)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Polarization-induced charge carrier separation in realistic polar and nonpolar grown GaN quantum dots. Collaborative Conference on Interacting Nanostructures CCIN'09, San Diego, CA, USA (2009)
Friak, M.; Raabe, D.; Neugebauer, J.: First-principles based multi-scale approaches to the elasticity of metallic polycrystals and hierarchical bio-composites. AICES meets MPIE workshop, Monschau, Germany (2009)
Lange, B.; Freysoldt, C.; Neugebauer, J.: Highly p-doped GaN:Mg! What hinders the thermal drive-out of hydrogen? 2. Klausurtagung des Graduierten Kollegs: Mikro und Nanostrukturen in der Optoelektronik, Bad Karlshafen, Germany (2009)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Crustacean skeletal elements: Variations in the constructional morphology at different hierarchical levels. Seminar talk at Masaryk University, Brno, Czech Republic (2009)
Hickel, T.; Al-Zubi, A.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in magnetic shape memory Heusler alloys. SPP1239 Fokustreffen A "Fundamentals", Bonn, Germany (2009)
Counts, W. A.; Friak, M.; Raabe, D.; Neugebauer, J.: Ab Initio Determined Materials-Design Limits in Ultra Light-Weight Mg-Li Alloys. 8th International Conference on Magnesium Alloys and their Applications, Weimar, Germany (2009)
Lymperakis, L.; Neugebauer, J.: Adatom Kinetics, Thermodynamics, and Si Incorporation on Non-Polar III-Nitride Surfaces: Implications on Nanowire Growth. 8th nternational Conference on Nitride Semiconductors, Jeju Island, South Korea (2009)
Todorova, M.; Neugebauer, J.: Extending the Concept of Semiconductor Defect Chemistry to Electro Chemistry: A Novel Approach to Construct ab Initio Electrochemical E/pH Diagrams. 216th ECS Meeting, Vienna, Austria (2009)
Hickel, T.; Körmann, F.; Dick, A.; Neugebauer, J.: Considerations on the magnetic contribution to the free energy of Fe and related alloys. MCA-Fe. International workshop "Modern computational approaches in iron based alloys”, Ekaterinburg, Russia (2009)
Neugebauer, J.: Computing the free energy: Possibilities, challenges and limitations of present day ab initio techniques. Workshop: “Modern computational approaches in iron based alloys”, Ekaterinburg, Russia (2009)
Dick, A.; Hickel, T.; Neugebauer, J.: Thermodynamics of high-Mn steels from ab initio theory. Workshop of the SFB761 "Steel - ab initio", Salzgitter, Germany (2009)
Hickel, T.; Uijttewaal, M.; Neugebauer, J.: First principles determination of phase transitions in magnetic shape memory alloys. 1st International Conference on Material Modeling, Dortmund, Germany (2009)
Ma, D.; Friák, M.; Raabe, D.; Neugebauer, J.: Multi-physical alloy approaches to solid solution strengthening of Al. 1st International Conference on Material Modelling, Dortmund, Germany (2009)
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.