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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…