Roters, F.; Ma, A.: Ein nicht lokales Versetzungsdichte basiertes konstitutives Gesetz für Kristall-Plastizitäts-Finite-Elemente-Simulationen. Institutsseminar, Fraunhofer-Institut für Werkstoffmechanik IWM, Freiburg (2005)
Roters, F.; Ma, A.: Die Kristall-Plastizitäts-Finite-Elemente-Methode und ihre Anwendung auf Bikristall-Scherversuche. Institutsseminar, Institut für Werkstoffwissenschaften, Universität, Erlangen-Nürnberg (2005)
Roters, F.; Jeon-Haurand, H. S.; Raabe, D.: A texture evolution study using the Texture Component Crystal Plasticity FEM. Plasticity 2005, Kauai, USA (2005)
Raabe, D.; Roters, F.: How do 10^10 crystals co-deform. "Weitab vom Hooksechen Gesetz -- Moderne Ansätze und Ingenieurpraxis großer inelastischer deformation metallischer Werkstoffe'' Symposium der Akademie der Wissenschaften und der Literatur, Mainz, Germany (2004)
Raabe, D.; Roters, F.: Physically-Based Large-Scale Texture and Anisotropy Simulation for Automotive Sheet Forming. TMS Fall meeting, New Orleans, LA, USA (2004)
Roters, F.: Das Anwendungspotential der Kristallplastizitäts-Finite-Elemente-Methode aus Sicht der werkstoffphysikalischen Grundlagen. Werkstoffwoche 2004, München, Germany (2004)
Roters, F.; Ma, A.; Raabe, D.: The Texture Component Crystal Plasticity Finite Element Method. Keynote lecture at the Third GAMM (Society for Mathematics and Mechanics) Seminar on Microstructures, Stuttgart, Germany (2004)
Roters, F.: Numerische Simulation der Metallumformung und Rekristallisation. Workshop, Simulation und numerische Modellierung, Materials Valley e.V., Mainz (2003)
Wang, Y.; Roters, F.; Raabe, D.: Simulation of Texture and Anisotropy during Metal Forming with Respect to Scaling Aspects. 1st Colloquium Process Scaling, Bremen, Germany (2003)
Roters, F.: Crystal plasticity FEM from grain scale plasticity to anisotropic sheet forming behaviour. 13th international Workshop on Computational Modelling of the Mechanical Behaviour of Materials, Magdeburg, Germany (2003)
Raabe, D.; Helming, K.; Roters, F.; Zhao, Z.; Hirsch, J.: A Texture Component Crystal Plasticity Finite Element Method for Scalable Large Strain Anisotropy Simulations. ICOTOM 13, Seoul, South Korea (2002)
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…
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…