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)
Friák, M.; Neugebauer, J.: Anomalous equilibrium volume change of magnetic Fe–Al crystals. Materials Research Society fall meeting, Boston, MA, USA (2006)
Raabe, D.; Sander, B.; Friák, M.; Neugebauer, J.: Bottom up design of novel Titanium-based biomaterials through the combination of ab-initio simulations and experimental methods. Materials Research Society fall meeting, Boston, MA, USA (2006)
Abu-Farsakh, H.; Neugebauer, J.: Tailoring the N-solubility in InGaAs-alloys by surface engineering: Applications and limits. 1. Harzer Ab initio Workshop, Clausthal, Germany (2006)
Ismer, L.; Ireta, J.; Neugebauer, J.: Vibrational modes and thermodynamic properties of the secondary structure of proteins. 1. Harzer Ab initio Workshop, Clausthal (2006)
Neugebauer, J.; Wahn, M.: Exact exchange within Kohn-Sham formalism. Standard and variational approach. 1. Harzer Ab initio Workshop, Clausthal-Zellerfeld (2006)
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)
Lymperakis, L.; Neugebauer, J.: Kinetically stabilized ordering in AlGaN alloys. Institute of Fundamental Technological Research, Polish Academy of Sciences, Colloquium, Warsaw/Poland (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)
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
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…