Neugebauer, J.: Design of structural materials by predictive ab initio thermodynamics: Challenges, applications and perspectives. Euromat Conference, Warsaw, Poland (2015)
Vatti, A. K.; Todorova, M.; Neugebauer, J.: Formation Energy of Halide ions (Cl/Br/I) in water from ab-initio Molecular Dyna. Psi-k 2015 Conference, San Sebastián, Spain (2015)
Neugebauer, J.: Quantum-mechanical approaches to address the structural and thermodynamic complexity of engineering materials. Swedish Chemical Society, Kalmar, Sweden (2015)
Neugebauer, J.: Understanding the fundamental mechanisms behind H embrittlement: An ab initio guided multiscale approach. Colloquium UCB Vancouver, Vancouver, Canada (2015)
Neugebauer, J.: Vacancies in fcc metals: Discovery of large non-Arrhenius effects. The 5th Sino-German Symposium Thermodynamics and Kinetics of Nano and Mesoscale Materials and Their Applications, Changchun, China (2015)
Neugebauer, J.: Ab initio thermodynamics: A novel route to design materials on the computer. Colloquium at Universität Marburg, Marburg, Germany (2015)
Neugebauer, J.: Understanding the fundamental mechanisms behind H embrittlement: An ab initio guided multiscale approach. International Workshop MoD-PMI , Marseille, France (2015)
Neugebauer, J.: Materials design based on predictive ab initio thermodynamics. Colloquium at Lawrence Livermore National Lab, Livermore, CA, USA (2015)
Dutta, B.; Körmann, F.; Hickel, T.; Ghosh, S.; Sanyal, B.; Neugebauer, J.: The Itinerant Coherent Potential Approximation for phonons: role of fluctuations for systems with magnetic and chemical disorder. Materials Theory Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA (2015)
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
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…
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 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.