Vatti, A. K.; Todorova, M.; Neugebauer, J.: Formation Energy of ions in water: An ab initio molecular dynamics study. 2nd German-Austrian Workshop on "Computational Materials Science on Complex Energy Landscapes", Kirchdorf, Austria (2015)
Zendegani, A.; Körmann, F.; Hickel, T.; Neugebauer, J.: First-principles study of thermodynamic properties of the Q-phase in Al–Cu–Mg–Si. 2nd German-Austrian Workshop, Kirchdorf, Austria (2015)
Zhang, X.; Hickel, T.; Rogal, J.; Drautz, R.; Neugebauer, J.: Atomistic origin of structural modulations in Fe ultrathin films on Cu(001). 2nd German-Austrian Workshop, Kirchdorf, Austria (2015)
Neugebauer, J.: Efficient coarse graining of stochastic high-dimensional configuration spaces as fundament for a fully ab initio based materials design. Colloquium WIAS, Berlin, Germany (2014)
Hickel, T.; Nazarov, R.; McEniry, E.; Dey, P.; Neugebauer, J.: Impact of light elements on interface properties in steels. CECAM workshop “Modeling Metal Failure Across Multiple Scales”, Lausanne, Switzerland (2014)
Hickel, T.; Körmann, F.; Bleskov, I.; Neugebauer, J.: Ab Initio Based Modelling of Stacking Fault Energies in High-Strength Steels. International Seminar on Process Chain Simulation and Related Topics, Karlsruhe, Germany (2014)
Bleskov, I.; Hickel, T.; Neugebauer, J.: Impact of Local Magnetism on Stacking Fault Energies: A First Principles Investigation for fcc Iron. Condensed Matter - Université Paris Descartes, Paris, France (2014)
Bleskov, I.; Hickel, T.; Neugebauer, J.: Impact of Local Magnetism on Stacking Fault Energies: A First Principles Investigation for fcc Iron. TMS 2014, San Diego, CA, USA (2014)
Dey, P.; Nazarov, R.; Hickel, T.; Neugebauer, J.: Ab-initio study of hydrogen trapping by kappa-carbides in an austenitic Fe matrix. DPG Frühjahrstagung, Dresden, Germany (2014)
Dutta, B.; Hickel, T.; Neugebauer, J.: Coupling of lattice dynamics and magnetism in magnetic shape memory alloys: Consequences for phase diagrams. Asia Sweden meeting on understanding functional materials from lattice dynamics (ASMFLD) conference, Indian Institute of technology Guwahati, Guwahati, India (2014)
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.