Race, C. P.; von Pezold, J.; Neugebauer, J.: Simulations of Grain Boundary Migration via the Nucleation and Growth of Islands. MSE Congress 2012, Darmstadt, Germany (2012)
Race, C. P.; von Pezold, J.; Neugebauer, J.: Simulations of grain boundary migration via the nucleation and growth of islands. DPG Frühjahrstagung 2012, Berlin, Germany (2012)
von Pezold, J.; Lymperakis, L.; Neugebauer, J.: Towards an ab-initio based understanding of H-embrittlement: An atomistic study of the HELP mechanism. Joint Hydrogenius and ICNER International Workshop on Hydrogen-Materials Interactions, Kyushu, Japan (2012)
Korbmacher, D.; von Pezold, J.; Spatschek, R.: Hydrogen embrittlement - A scale bridging perspective. 1st Austrian-German workshop on Computational Materials Design, Kramsach, Austria (2012)
Haghighat, S. M. H.; von Pezold, J.; Neugebauer, J.; Raabe, D.: Effect of local stress state on the glide of ½a₀<111> screw dislocation in bcc-Fe. 1st Austrian-German Workshop on Computational Materials Design, Kramsach, Austria (2012)
Nematollahi, A.; von Pezold, J.; Neugebauer, J.; Raabe, D.: Thermodynamics of the strain-induced dissolution of cementite in pearlitic structure steel: An ab-initio study. 1st Austrian-German workshop on Computational Materials Design, Kramsach, Austria (2012)
Race, C. P.; von Pezold, J.; Neugebauer, J.: Grain boundary migration via the nucleation and growth of islands in molecular dynamics. 1st Austrian-German Workshop on Computational Materials Design, Kramsach, Austria (2012)
von Pezold, J.; Neugebauer, J.: Effect of H on homogeneous dislocation nucleation: Consequences for hydrogen embrittlement. DPG Frühjahrstagung der Sektion Kondensierte Materie (SKM), Dresden, Germany (2011)
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
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…