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)
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)
Hickel, T.; Grabowski, B.; Uijttewaal, M.; Neugebauer, J.: Determination of symmetry-reduced structures by a soft-phonon analysis in magnetic shape memory alloys. Physics Seminar of Loughborough University, Loughborough, UK (2007)
Hickel, T.; Grabowski, B.; Neugebauer, J.; Marquardt, O.: Department of Computational Materials Design: Present activities and future research. Guided tour in the MPIE of IMPRS-SurMat, Duesseldorf, Germany (2007)
Grabowski, B.; Hickel, T.; Neugebauer, J.: Ab initio calculation of free energies and thermodynamic properties of fcc metals. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
Marquardt, O.; Hickel, T.; Grabowski, B.; Boeck, S.; Neugebauer, J.: Implementation and application of the k.p-formalism to electronic structure and Coulomb matrix elements. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
Hickel, T.; Grabowski, B.; Uijttewaal, M.; Neugebauer, J.: Ab initio determination of symmetry-reduced structures by a soft-phonon analysis in Ni_{2}MnGa. Spring meeting of the German Physical Society (DPG), Regensburg, Germany (2007)
Hickel, T.; Grabowski, B.; Uijttewaal, M.; Neugebauer, J.: Ab initio prediction of structural and thermodynamic properties of magnetic shape memory alloys. Focus meeting of the SPP 1239: Fundamentals of the Magnetic Shape Memory Effect: Materials properties & simulations, Schloss Ringberg, Germany (2007)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Ab initio prediction of structural and thermodynamic properties of metals. Seminar Abt. Jansen, MPI für Festkörperforschung, Stuttgart, Germany (2007)
Grabowski, B.; Hickel, T.; Neugebauer, J.: From ab initio to materials properties: Accuracy and error bars of DFT thermodynamics. MMM Workshop, Barcelona, Spain (2007)
Hickel, T.; Uijttewaal, M.; Grabowski, B.; Neugebauer, J.: Ab initio prediction of structural and thermodynamic properties of metals. International Max-Planck Workshop on Multiscale Materials Modeling of Condensed Matter, Sant Feliu de Guixols, Spain (2007)
Grabowski, B.: PAW calculations of thermodynamic properties of metals: xc-related error bars and chemical trends. 1. Harzer Ab initio Workshop, Clausthal-Zellerfeld, Germany (2006)
Grabowski, B.: Quantum mechanics meets steel: Was uns moderne Simulationsprogramme über Stahl und Eisen verraten. Schülertag, MPIE, Düsseldorf, Germany (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature dependent properites of Ni2MnGa – An ab initio approach -. European Symposium on Martensitic Transformations (ESOMAT), Bochum (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Ferromagnetic shape memory alloys: Thermodynamic and magnetic properites. Joint group meeting at Material Research Laboratory of University of California, Santa Barbara, Santa Barbara, USA (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature and magnetic field dependent properites of Ni2MnGa. Kolloquium zur Festkörpertheorie, Institut für Physik der Humboldt-Universtität zu Berlin, Berlin, Germany (2006)
Grabowski, B.: Ab initio calculation of thermodynamic properties of metals: xc-related error bars and chemical trends. DPG-Jahrestagung, Dresden, Germany (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature and magnetic field dependent properites of Ni2MnGa. DPG Spring Meeting of the Division Condensed Matter, Dresden, Germany (2006)
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…