Fabritius, H.; Hild, S.; Nikolov, S.; Ziegler, A.; Raabe, D.; Friák, M.; Neugebauer, J.: Variations in the constructional morphology of crustacean skeletal elements at different hierarchical levels. Third International Conference on Mechanics of Biomaterials & Tissues ICMOBT 2009, Clearwater, FL, USA (2009)
Ma, D.; Friák, M.; Knezevic, M.; Kalidindi, S. R.; Lebensohn, R. A.; Roters, F.; Neugebauer, J.; Raabe, D.: Polycrystal coarse graining of elastic properties for Ti-Nb biomedical grades using ab-initio single crystal elastic constants. International Plasticity Conference 2009, Virgin Islands, USA (2009)
Nikolov, S.; Sachs, C.; Fabritius, H.; Raabe, D.; Petrov, M.; Friák, M.; Neugebauer, J.: Modeling of the mechanical properties of lobster cuticle from ab initio to macroscale: How nature designs multifunctional composites with optimal properties. International Plasticity Conference 2009, Virgin Islands, USA (2009)
Counts, W. A.; Friák, M.; Battaile, C.; Raabe, D.; Neugebauer, J.: Multiscale Prediction of Polycrystal Elastic Properties of Ultralight Weight Mg-Li Alloys using Ab Initio and FEM Approaches. MRS Fall Conference 2008, Boston, MA, USA (2008)
Knezevic, M.; Ma, D.; Raabe, D.; Kalidindi, S. R.; Friák, M.; Neugebauer, J.: Application of Spectral Methods for Anisotropy Design of Ti-Nb Polycrystals for Biomedical Applications based on ab Initio Elastic Single Crystal Constants and Fast Fourier Homogenization. MRS Fall Conference 2008, Boston, MA, USA (2008)
Petrov, M.; Friák, M.; Lymperakis, L.; Neugebauer, J.; Raabe, D.: Ground-state structure and elastic anisotropy of crystalline alpha-chitin: An ab-initio based conformational analysis. Materials Research Society meeting (MRS), Boston, MA, USA (2008)
Neugebauer, J.: Ab initio based modeling of engineering materials: From a predictive thermodynamic description to tailored mechanical properties. Multiscale Materials Modeling 2008, Tallahassee, FL, USA (2008)
Udyansky, A.; Bugaev, V.; von Pezold, J.; Friák, M.; Neugebauer, J.: Modeling of the strain-induced interaction between carbon atoms in Fe-C solid solution using embedded atom method potential. Contemporary Problems of Metal Physics, Kiev, Ukraine (2008)
Neugebauer, J.: Design of engineering materials based on ab initio thermodynamics and kinetics. Materials Science and Technology 2008, Pittsburgh, PA, USA (2008)
Lymperakis, L.; Neugebauer, J.: Ab initio study of Thermodynamics and adatom kinetics on non-polar GaN surfaces: Consequences on the growth morphology and the formation of nanowires. International Workshop on Nitride Semiconductors, Montreux, Switzerland (2008)
Ma, A.; Friák, M.; Neugebauer, J.; Raabe, D.: Ab initio based design of alloys. MS&T'08, Symposium: Discovery and Optimization of Materials Through Computational Design, David Lawrence Convention Center, Pittsburgh, PA, USA (2008)
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.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…