Neugebauer, J.: Ab initio guided design of materials with superior mechanical properties. Colloquium, Institut für Technologie, Karlsruhe, Germany (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A Quantum-Mechanical Study. Multi-Scale Mechanics of Biological and Bio-Inspired Hierarchical Materials and Surfaces, Glasgow, UK (2011)
Dick, A.; Körmann, F.; Abbasi, A.; Hickel, T.; Neugebauer, J.: Towards an ab initio based understanding of deformation mechanisms in high-manganese Steels. 1st Int. Conf. on High Manganese Steels, Seoul, South Korea (2011)
Neugebauer, J.: Accuracy and limitations of ab initio approaches in predicting free energies for binaries and unstable phases. CALPHAD Workshop, Rio de Janeiro, Brazil (2011)
Fehr, M.; Schnegg, A.; Teutloff, C.; Bittl, R.; Astakhov, O.; Finger, F.; Pfanner, G.; Freysoldt, C.; Neugebauer, J.; Rech, B.et al.; Lips, K.: A Detailed Investigation of Native and Light-induced Defects in Hydrogenated Amorphous Silicon by Electron-spin Resonance. MRS Spring Meeting and Exhibit 2011, San Francisco, CA, USA (2011)
Elstnerová, P.; Friák, M.; Neugebauer, J.: Enhancing mechanical properties of calcite by Mg substitutions - A quantum-mechanical study. EuroBioMat - European Symposium on Biomaterials and Related Areas, Jena, Germany (2011)
Pfanner, G.; Freysoldt, C.; Neugebauer, J.: EPR parameters of the dangling bond defect in crystalline and amorphous silion: A DFT-study. APS march meeting 2011, Dallas, TX, USA (2011)
Todorova, M.; Valtiner, M.; Neugebauer, J.: Hydrogen adsorption on polar ZnO(0001)–Zn - Extending equilibrium surface phase diagrams to kinetically stabilised structures. March meeting of the American Physical Society (APS), Dallas, TX, USA (2011)
Aydin, U.; Boeck, S.; Hickel, T.; Neugebauer, J.: Hydrogen solution enthalpies derived from first principles: Chemical trends along the series of transition metals. DPG Frühjahrstagung 2011, Dresden, Germany (2011)
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…