Uijttewaal, M.; Hickel, T.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in Ni_{2}MnGa: The pre-martensitic transition. Convention of the SPP 1239, Castle Eichholz in Wesseling, Germany (2007)
Hickel, T.: Research at the department of Computational Materials Design. Visit of the Steering Committee of IISI project “India 2020”, MPIE Duesseldorf, 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)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Application of the 8-band k.p-formalism to semiconductor nanostructures. Forschergruppentreffen Uni Bremen, Bremen, Germany (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)
Marquardt, O.; Wahn, M.; Lymperakis, L.; Hickel, T.; Neugebauer, J.: Implementation and application of a multi-scale approach to electronic properties of group III-nitride based semiconductor nanostructures. Workshop on Nitride Based Nanostructures, Berlin, 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)
Marquardt, O.; Hickel, T.; Neugebauer, J.: A k.p approach to electronic states and Coulomb interaction in semiconductor quantum dots. Forschergruppentreffen Uni Bremen, Bremen, 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)
Hickel, T.; Neugebauer, J.: Ab initio description of grain boundaries and diffusion processes. Arbeitstreffen der Helmholtz-Allianz „HYPER“,, Darmstadt (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature dependent properites of Ni2MnGa – An ab initio approach -. European Symposium on Martensitic Transformations (ESOMAT), Bochum (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
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…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.