Leineweber, A.; Berger, T.; Udyansky, A.; Bugaev, V. N.; Duppel, V.: The incommensurate crystal structure of the Pd5b1-z phase; B ordering driven by elastic interaction between B atoms. Zeitschrift für Kristallographie: International Journal for Structural, Physical, and Chemical Aspects of Crystalline Materials 229 (5), pp. 353 - 367 (2014)
Udyansky, A.; von Pezold, J.; Bugaev, N. V.; Friák, M.; Neugebauer, J.: Interplay between long-range elastic and short-range chemical interactions in Fe–C martensite formation. Physical Review B 79 (22), pp. 224112-1 - 224112-5 (2009)
Zhu, L.-F.; Friák, M.; Dick, A.; Udyansky, A.; Neugebauer, J.: First principles study of elastic properties of eutectic Ti-Fe alloys up to their mechanical stability limits. DPG Spring Meeting 2011, Dresden, Germany (2011)
von Pezold, J.; Udyansky, A.; Aydin, U.; Hickel, T.; Neugebauer, J.: Strain-Induced Metal-Hydrogen Interactions across the First Transition Series – An Ab Initio Study of Hydrogen Embrittlement. TMS 2011 Meeting, San Diego, CA, USA (2011)
Udyansky, A.; von Pezold, J.; Dick, A.; Neugebauer, J.: Atomistic study of martensite stability in dilute Fe-based solid solutions. PTM 2010 (Solid-Solid Phase Transformations in Inorganic Materials), Avignon, France (2010)
Udyansky, A.; von Pezold, J.; Dick, A.; Neugebauer, J.: Impurity ordering in iron: An ab initio based multi-scale approach. GraCoS Workshop (Carbon and Nitrogen in Steels: Measurement, Phase Transformations and Mechanical Properties), Rouen, France (2010)
Udyansky, A.; von Pezold, J.; Neugebauer, J.: Multi-scale modeling of martensite formation in Fe-based solid solutions. 139th Annual Meeting of the Minerals, Metals and Materials Society (TMS), Seattle, WA, USA (2010)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Computational study of interstitial ordering in bcc iron. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
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.