Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Influence of long-range C–C elastic interactions on the structural stability of dilute Fe–C solid solutions. EUROMAT 2009, Glasgow, UK (2009)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Influence of long-range C-C elastic interactions on the structural stability of dilute Fe-C solid solutions. Invited Talk at ICAMS, Bochum, Germany (2009)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Multi-scale modeling of the phase stability of interstitial Fe-C solid solutions. Invited talk at MPI for Metal Research, Stuttgart, Germany (2009)
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)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Atomistic modeling of the strain-induced interaction between carbon atoms in Fe-C solid solution. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Atomistic modeling of the strain-induced interaction between carbon atoms in Fe-C solid solution. XVII International Materials Research Congress 2008, Cancun, Mexico (2008)
Udyansky, A.; Friák, M.; Neugebauer, J.: An ab-initio study of the phase transitions in the interstitial Fe–C solid solutions. Spring meeting of the German Physical Society (DPG), Berlin, Germany (2008)
Udyansky, A.; von Pezold, J.; Dick, A.; Neugebauer, J.: Martensite formation in dilute Fe-based solid solutions: Ab initio based multi-scale approach. Ab initio Description of Iron and Steel: Mechanical properties, 468. Wilhelm und Else Heraeus-Seminar, Ringberg, Germany (2010)
Udyansky, A.; von Pezold, J.; Dick, A.; Neugebauer, J.: Martensite formation in dilute Fe-based solid solutions: Ab initio based multi-scale approach. Ab initio Description of Iron and Steel: Mechanical properties, 468. Wilhelm und Else Heraeus-Seminar, Ringberg, Germany (2010)
Udyansky, A.; von Pezold, J.; Dick, A.; Neugebauer, J.: Order/disorder transition of defects in ferrite: Ab initio based multi-scale approach. Psi-k 2010 Conference, Ab initio calculations of processes in materials and (bio)molecules, Berlin, Germany (2010)
Udyansky, A.; von Pezold, J.; Friák, M.; Neugebauer, J.: Atomistic modeling of the strain-induced interactions between C atoms in Fe–C solid solutions. International Workshop on Multiscale Materials Modelling (IWoM3), Berlin, Germany (2009)
Udyansky, A.; Friák, M.; Grabowski, B.; Hickel, T.; Neugebauer, J.: First Principles Study of Fe–C interstitial solid solutions. International Workshop on Ab initio Description of Iron and Steel (ADIS2008), Ringberg Castle, Germany (2008)
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
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.