Hickel, T.; Uijttewaal, M.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in magnetic shape memory Heusler alloys. SPP 1239 Convention, Duisburg, Germany (2009)
Fabritius, H.; Hild, S.; Nikolov, S.; Ziegler, A.; Raabe, D.; Friák, M.; Neugebauer, J.: Variations in the constructional morphology of crustacean skeletal elements at different hierarchical levels. Third International Conference on Mechanics of Biomaterials & Tissues ICMOBT 2009, Clearwater, FL, USA (2009)
Ma, D.; Friák, M.; Knezevic, M.; Kalidindi, S. R.; Lebensohn, R. A.; Roters, F.; Neugebauer, J.; Raabe, D.: Polycrystal coarse graining of elastic properties for Ti-Nb biomedical grades using ab-initio single crystal elastic constants. International Plasticity Conference 2009, Virgin Islands, USA (2009)
Nikolov, S.; Sachs, C.; Fabritius, H.; Raabe, D.; Petrov, M.; Friák, M.; Neugebauer, J.: Modeling of the mechanical properties of lobster cuticle from ab initio to macroscale: How nature designs multifunctional composites with optimal properties. International Plasticity Conference 2009, Virgin Islands, USA (2009)
Counts, W. A.; Friák, M.; Battaile, C.; Raabe, D.; Neugebauer, J.: Multiscale Prediction of Polycrystal Elastic Properties of Ultralight Weight Mg-Li Alloys using Ab Initio and FEM Approaches. MRS Fall Conference 2008, Boston, MA, USA (2008)
Knezevic, M.; Ma, D.; Raabe, D.; Kalidindi, S. R.; Friák, M.; Neugebauer, J.: Application of Spectral Methods for Anisotropy Design of Ti-Nb Polycrystals for Biomedical Applications based on ab Initio Elastic Single Crystal Constants and Fast Fourier Homogenization. MRS Fall Conference 2008, Boston, MA, USA (2008)
Petrov, M.; Friák, M.; Lymperakis, L.; Neugebauer, J.; Raabe, D.: Ground-state structure and elastic anisotropy of crystalline alpha-chitin: An ab-initio based conformational analysis. Materials Research Society meeting (MRS), Boston, MA, USA (2008)
Neugebauer, J.: Ab initio based modeling of engineering materials: From a predictive thermodynamic description to tailored mechanical properties. Multiscale Materials Modeling 2008, Tallahassee, FL, USA (2008)
Udyansky, A.; Bugaev, V.; von Pezold, J.; Friák, M.; Neugebauer, J.: Modeling of the strain-induced interaction between carbon atoms in Fe-C solid solution using embedded atom method potential. Contemporary Problems of Metal Physics, Kiev, Ukraine (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.