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)
Counts, W. A.; Ma, D.; Friák, M.; Neugebauer, J.; Raabe, D.: Multiscale design of aluminium alloys based on ab-initio methods. ICAA 11 – 11th International Conference on Aluminium Alloys 2008, Aachen, Germany (2008)
Lymperakis, L.; Neugebauer, J.: Growth simulations of non-polar GaN surfaces: Thermodynamics, kinetics and dopant incorporations. Bremen DFG Forschergruppe: Workshop in Riezlern, Reizlern, Austria (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Modeling of electronic and optical properties of GaN/AlN quantum dots by using the k.p-method. Bremen DFG Forschergruppe: Workshop in Riezlern, Riezlern, Austria (2008)
Raabe, D.; Friak, M.; Neugebauer, J.; Counts, W. A.: Homogenization in Polycrystal Mechanics on the Basis of First Principles Simulations. IUTAM Symposium on Variational Concepts in Materials Mechanics, Ruhr-Universität Bochum, Germany (2008)
Dick, A.; Hickel, T.; Neugebauer, J.: First Principles Predictions of Mechanical Properties of FeMn-Alloys. Workshop des SFB761, Beilngries, Germany (2008)
Friák, M.; Neugebauer, J.: Ab initio study on elastic properties of Fe3Al-based alloys. Materials Science and Engineering (MSE'08), Nürnberg, Germany (2008)
Neugebauer, J.: Ab Initio Based Modeling of Engineering Materials: From a Predictive Thermodynamic Description to Tailored Mechanical Properties. Materials Science and Engineering, Nürnberg, Germany (2008)
von Pezold, J.; Neugebauer, J.: Hydrogen-enhanced local plasticity - An atomistic study. Materials Science and Engineering 2008, Nuernberg, Germany (2008)
Ismer, L.; Ireta, J.; Neugebauer, J.: First principles study of vibrational and thermodynamic properties of the secondary structure of proteins. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of bcc iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. Computational Materials Science Workshop, Ebernburg Castle, Germany (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
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.
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…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…