Neugebauer, J.: Fully ab initio determination of free energies: Basis for inverse approaches in materials design. MRS Fall Meeting, Boston, MA, USA (2012)
Sandlöbes, S.; Friák, M.; Dick, A.; Zaefferer, S.; Pei, Z.; Zhu, L.-F.; Sha, G.; Ringer, S.; Neugebauer, J.; Raabe, D.: Combining ab initio calculations and high resolution experiments to improve the understanding of advanced Mg-Y and Mg-RE alloys. 7th Annual Conference of the ARC Centre of Excellence for Design in Light Metals, Melbourne, VIC, Australia (2012)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The influence of magnetic excitations on the phase stability of metals and steels. Seminar Talk at Institute for Pure and Applied Math, UCLA, University of California, Los Angeles, CA, USA (2012)
Neugebauer, J.: Ab initio based multiscale modeling of structural materials: From a predictive thermodynamic description to tailored mechanical properties. MMM 2012 - Multiscale Materials Modeling Conference, Singapore City, Singapore (2012)
Neugebauer, J.: Ab initio computation of free energies. MDWS1: Workshop on Quantum and Atomistic Modeling of Materials Defects, Los Angeles, CA, USA (2012)
Schulz, T.; Remmele, T.; Markurt, T.; Korytov, M.; Albrecht, M.; Duff, A.; Lymperakis, L.; Neugebauer, J.: Alloy fluctuations in III-Nitrides revisited by aberration corrected transmission electron microscopy. International Workshop on Nitride Semiconductors 2012, Sapporo, Japan (2012)
Nazarov, R.; Hickel, T.; Neugebauer, J.: Consequences of H-Vacancy Interactions: An Ab Initio Insight. International Hydrogen Conference, Jackson Lake Lodge, Moran, WY, USA (2012)
Neugebauer, J.: Understanding H-embrittlement in high-strength steels by ab initio methods. 2012 International Hydrogen Conference, Moran, WY, USA (2012)
Neugebauer, J.: Density functional theory: From the chemical bond to microstructural information. Workshop Multiscale Material Modeling 2012, Bad Herrenalb, Germany (2012)
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
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…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.