Counts, W. A.; Ma, D.; Friák, M.; Neugebauer, J.; Raabe, D.: Multiscale design of aluminium alloys based on ab-initio methods. ICAA 11 – 11th International Conference on Aluminium Alloys 2008, Aachen, Germany (2008)
Lymperakis, L.; Neugebauer, J.: Growth simulations of non-polar GaN surfaces: Thermodynamics, kinetics and dopant incorporations. Bremen DFG Forschergruppe: Workshop in Riezlern, Reizlern, Austria (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Modeling of electronic and optical properties of GaN/AlN quantum dots by using the k.p-method. Bremen DFG Forschergruppe: Workshop in Riezlern, Riezlern, Austria (2008)
Raabe, D.; Friak, M.; Neugebauer, J.; Counts, W. A.: Homogenization in Polycrystal Mechanics on the Basis of First Principles Simulations. IUTAM Symposium on Variational Concepts in Materials Mechanics, Ruhr-Universität Bochum, Germany (2008)
Dick, A.; Hickel, T.; Neugebauer, J.: First Principles Predictions of Mechanical Properties of FeMn-Alloys. Workshop des SFB761, Beilngries, Germany (2008)
Friák, M.; Neugebauer, J.: Ab initio study on elastic properties of Fe3Al-based alloys. Materials Science and Engineering (MSE'08), Nürnberg, Germany (2008)
Neugebauer, J.: Ab Initio Based Modeling of Engineering Materials: From a Predictive Thermodynamic Description to Tailored Mechanical Properties. Materials Science and Engineering, Nürnberg, Germany (2008)
von Pezold, J.; Neugebauer, J.: Hydrogen-enhanced local plasticity - An atomistic study. Materials Science and Engineering 2008, Nuernberg, Germany (2008)
Ismer, L.; Ireta, J.; Neugebauer, J.: First principles study of vibrational and thermodynamic properties of the secondary structure of proteins. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of bcc iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Effect of strain and polarization on the electronic properties of 2-, 1- and 0-dimensional semiconductor nanostructures. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Todorova, M.; Neugebauer, J.: Towards an ab initio description of corrosion. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.