Roters, F.; Diehl, M.; Shanthraj, P.; Zambaldi, C.; Tasan, C. C.; Yan, D.; Raabe, D.: Simulation analysis of stress and strain partitioning in dual phase steel based on real microstructures. MMM2014, 7th International Conference on Multiscale
Materials Modeling
, Berkeley, CA, USA (2014)
Zhang, J.; Tasan, C. C.; Lai, M.; Zhang, J.; Raabe, D.: Damage Resistance through Hierarchical Microstructure Development on GUM Metal. Materials Science and Engineering (MSE2014), Darmstadt, Germany (2014)
Tasan, C. C.; Diehl, M.; Yan, D.; Zambaldi, C.; Shanthraj, P.; Roters, F.; Raabe, D.: Integrated experimental and simulation analysis of stress and strain partitioning in dual phase steel. IUTAM Symposium on Connecting Multiscale Mechanics to Complex Material Design, Evanston, IL, USA (2014)
Zhang, J.; Tasan, C. C.; Lai, M.; Springer, H.; Raabe, D.: Influence of oxygen and cold deformation on the ω phase formation in gum metal. TMS 2014, San Diego, TX, USA (2014)
Güder, Ü.; Tasan, C. C.; Yavaş, A.: Iron from Kubad-Abad: Production Techniques of Iron Tools from a Medieval Anatolian Palace. European Association of Archaeologists 20th Annual Meeting, Istanbul, Turkey (2014)
Tasan, C. C.; Diehl, M.; Yan, D.; Zambaldi, C.; Shanthraj, P.; Roters, F.; Raabe, D.: Integrated experimental and simulation analysis of stress and strain partitioning in dual phase steel. 17th U.S. National Congress on Theoretical and Applied Mechanics Michigan State University, East Lansing, MI, USA (2014)
Tasan, C. C.; Hoefnagels, J. P. M.; Geers, M. G. D.: Experimental challenges in continuum damage modeling. The International Symposium on Plasticity 2014, Freeport, Bahamas, USA (2014)
Tasan, C. C.; Jeannin, O.; Barbier, D.; Morsdorf, L.; Wang, M.; Ponge, D.; Raabe, D.: In-situ characterization of martensite plasticity by high resolution microstructure and microstrain mapping. ICOMAT 2014, International Conference on Martensitic Transformations 2014, Bilbao, Spain (2014)
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
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
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…
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…