Grabowski, B.: Ab initio calculation of thermodynamic properties of metals: xc-related error bars and chemical trends. ADIS 2006, Ringberg Castle, Germany (2006)
Hickel, T.; Grabowski, B.; Neugebauer, J.: Temperature dependent properites of Shape-memory alloys. Physics Seminar of Loughborough University, Loughborough, UK (2006)
Grabowski, B.: Ab initio based free energy surfaces: A tool to derive temperature dependent thermodynamic and kinetic parameters. DPG-Jahrestagung, Berlin, Germany (2005)
Zhu, L.-F.; Neugebauer, J.; Grabowski, B.: A computationally highly efficient ab initio approach for melting property calculations and practical applications. CALPHAD 2024, Mannheim, Germany (2024)
Dutta, B.; Körmann, F.; Alling, B.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Interaction of magnetic and lattice degrees of freedom. International Workshop on Ab initio Description of Iron and Steel: Mechanical Properties (ADIS 2016), Ringberg Castle, Tegernsee, Germany (2016)
Glensk, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: CALPHAD assessments using T > 0K ab initio data: From quasiharmonic to local anharmonic approximation. CALPHAD 2015, Loano, Italy (2015)
Lai, M.; Tasan, C. C.; Zhang, J.; Grabowski, B.; Huang, L.; Springer, H.; Raabe, D.: ω phase accommodated nano-twinning mechanism in Gum Metal: An ab initio study. 3rd International Workshop on Physics Based Material Models and Experimental Observations: Plasticity and Creep, Cesme/Izmir, Turkey (2014)
Grabowski, B.; Hickel, T.; Neugebauer, J.: Ab initio concepts for an efficient and accurate determination of thermodynamic properties up to the melting point. Summer School: Computational Materials Science, San Sebastian, Spain (2010)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Magnetic contributions to the Thermodynamics of iron and Cementite. 448. WE-Heraeus-Seminar "Excitement in magnetism", Ringberg Castle, Tegernsee, Germany (2009)
Grabowski, B.; Hickel, T.; Neugebauer, J.: Ab initio up to the melting point: Anharmonicity and vacancies in aluminum. International Workshop on Multiscale Materials Modelling (IWoM3), Berlin, Germany (2009)
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.