Diehl, M.; Shanthraj, P.; Roters, F.; Raabe, D.: From Crystal Plasticity to Forming Simulations: The "Virtual Laboratory". M2i Conference "High Tech Materials: your world - our business", Sint Michielgestel, The Netherlands (2014)
Diehl, M.; Yan, D.; Tasan, C. C.; Shanthraj, P.; Roters, F.; Raabe, D.: Stress and Strain Partitioning in Multiphase Alloys: An Integrated Experimental-Numerical Analysis. Winter School 2014, Research Training Group 1483,
Karlsruher Intitut f. Technologie (KIT), Karlsruhe, Germany (2014)
Diehl, M.; Yan, D.; Tasan, C. C.; Shanthraj, P.; Roters, F.; Raabe, D.: Stress and Strain Partitioning in Multiphase Alloys: An Integrated Experimental-Numerical Analysis. Materials to Innovate Industry and Society, Noordwijkerhout, The Netherlands (2013)
Shanthraj, P.; Diehl, M.; Eisenlohr, P.; Roters, F.: Numerically robust spectral methods for crystal plasticity simulations of heterogeneous materials. Materials to Innovate Industry and Society, Noordwijkerhout, The Netherlands (2013)
Yan, D.; Tasan, C. C.; Ponge, D.; Diehl, M.; Roters, F.; Hartmaier, A.; Raabe, D.: Experimental-Numerical Analysis of Stress and Strain Partitioning in Dual Phase Steel. 10th Materials Day, Joint workshop of the Materials Research Department (MRD) and the IMPRS-SurMat, Bochum, Germany (2012)
Diehl, M.; Eisenlohr, P.; Roters, F.; Raabe, D.: Using a "Virtual Laboratory" to Derive Mechanical Properties of Complex Microstructures. 11th GAMM-Seminar on Microstructures, Essen, Germany (2012)
Diehl, M.; Eisenlohr, P.; Roters, F.; Tasan, C. C.; Raabe, D.: Using a "Virtual Laboratory" to Derive Mechanical Properties of Complex Microstructures. Materials to Innovate Industry and Society, Noordwijkerhout, The Netherlands (2011)
Diehl, M.: High Resolution Crystal Plasticity Simulations. Dissertation, Aachen Institute for Advanced Study in Computational Engineering Science (AICES), RWTH Aachen University, Aachen, Germany (2015)
Diehl, M.: A Spectral Method Using Fast Fourier Transform to Solve Elastoviscoplastic Mechanical Boundary Value Problems. Diploma, TUM, München, Germany (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
We will investigate the electrothermomechanical response of individual metallic nanowires as a function of microstructural interfaces from the growth processes. This will be accomplished using in situ SEM 4-point probe-based electrical resistivity measurements and 2-point probe-based impedance measurements, as a function of mechanical strain and…