Mianroodi, J. R.; Shanthraj, P.; Svendsen, B.: Strongly versus weakly non-local dislocation transport and pile-up. 24th International Congress of Theoretical and Applied Mechanics, Montreal, Canada (2016)
Reese, S.; Kochmann, J.; Mianroodi, J. R.; Wulfinghoff, S.; Svendsen, B.: Two-scale FE-FFT phase-field-based computational modeling of bulk microstructural evolution and nanolaminates. 12th World Congress on Computational Mechanics, Seoul, South Korea (2016)
Mianroodi, J. R.; Shanthraj, P.; Svendsen, B.: Comparison of algorithms and solution methods for classic and phase-field-based periodic inhomogeneous elastostatics. ECCOMAS Congress 2016, Crete, Greece (2016)
Svendsen, B.; Mianroodi, J. R.: Atomistic and phase-field modelling of nanoscopic dislocation processes. Dislocation based Plasticity, Kloster Schöntal, Schöntal, Germany (2016)
Mianroodi, J. R.; Svendsen, B.: Periodic molecular dynamics modeling of dislocation-stacking fault interaction. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Mianroodi, J. R.; Svendsen, B.: Molecular Dynamics-Based Modeling of Dislocation-Stacking Fault Interaction. 84th Annual Meeting of International Association of Applied Mathematics and Mechanics (GAMM), Novi Sad, Serbia (2013)
Mianroodi, J. R.; Svendsen, B.: Modeling and calculation of the stacking fault free energy of iron at high temperature. International Workshop Molecular Modeling and Simulation: Natural Science meets Engineering, Frankfurt a. M., Germany (2013)
Mianroodi, J. R.; Shanthraj, P.; Svendsen, B.: Comparison of Methods for Discontinuous and Smooth Inhomogeneous Elastostatics. 24th International Congress of Theoretical and Applied Mechanics, Montreal, Canada (2016)
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) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
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…
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.