Sedighiani, K.; Traka, K.; Diehl, M.; Roters, F.; Bos, K.; Sietsma, J.; Raabe, D.: A Coupled Crystal Plasticity – Cellular Automaton Method for 3D Modeling of Recrystallization: Part I: Crystal Plasticity. International Conference on Plasticity, Damage, and Fracture, Riviera May, Mexico (2020)
Cereceda, D.; Diehl, M.; Roters, F.; Raabe, D.; Perlado, J. M.; Marian, J.: Understanding the Plastic Behavior of Tungsten From First Principles to Crystal Plasticity. International Mechanical Engineering Congress & Exposition (IMECE) 2019, Salt Lake City, UT, USA (2019)
Sedighiani, K.; Traka, K.; Diehl, M.; Roters, F.; Sietsma, J.; Raabe, D.: Determination and validation of BCC crystal plasticity parameters for a wide range of temperatures and strain rates. 7th Conference on Recrystallization and Grain Growth, REX 2019, Ghent, Belgium (2019)
Shah, V.; Diehl, M.; Roters, F.: Prediction of Nucleation Sites for Recrystallization using Crystal Plasticity Simulations. 7th International Conference on Recrystallization and Grain Growth, Ghent, Belgium (2019)
Diehl, M.; Roters, F.; Raabe, D.: Coupled Experimental-Computational Investigations of Grain Scale Mechanics in Complex Metallic Microstructures. 15th U.S. National Congress on Computational Mechanics, Ausrin, TX, USA (2019)
Han, F.; Diehl, M.; Roters, F.; Raabe, D.: Multi-scale modeling of plasticity. ICIAM 2019 - The 9th International Congress on Industrial and Applied Mathematics, Valencia, Spain (2019)
Liu, C.; Shanthraj, P.; Roters, F.; Raabe, D.: Phase-field/CALPHAD methods for multi-phase and multi-component microstructures. The 4th International Symposium on Phase Field Modelling in Materials Science (PF 19), Bochum, Germany (2019)
Sedighiani, K.; Diehl, M.; Roters, F.; Sietsma, J.; Raabe, D.: Obtaining constitutive parameters for a physics-based crystal plasticity model from macro-scale behavior. International Conference on Plasticity, Damage, and Fracture , Panama City, Panama (2019)
Diehl, M.; Shanthraj, P.; Eisenlohr, P.; Roters, F.; Raabe, D.: DAMASK - Düsseldorf Advanced Material Simulation Kit. Seminar of the Department of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, USA (2018)
Diehl, M.; Shanthraj, P.; Eisenlohr, P.; Roters, F.; Raabe, D.: DAMASK - Düsseldorf Advanced Material Simulation Kit. Seminar of the Department of Mechanical Engineering, Villanova University, Villanova, PA, USA (2018)
Diehl, M.; Shanthraj, P.; Eisenlohr, P.; Roters, F.; Raabe, D.: DAMASK - The Düsseldorf Advanced Material Simulation Kit for Modeling Multi-Physics Crystal Plasticity, Thermal, and Damage Phenomena. WCCM 2018, 13th World Congress in Computational Mechanics, New York, USA (2018)
Han, F.; Diehl, M.; Roters, F.; Raabe, D.: Multi-scale modelling of sheet metal forming by coupling FEM with a CP-Spectral solver using the DAMASK modelling package. 10th European Solid Mechanics Conference (ESMC2018), Bologna, Italy (2018)
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
In 2020, an interdepartmental software task force (STF) was formed to serve as a forum for discussion on topics related to software development and digital workflows at the MPIE. A central goal was to facilitate interdepartmental collaboration by co-developing and integrating workflows, aligning internally developed software, and rolling out…
In collaboration with Dr. Edgar Rauch, SIMAP laboratory, Grenoble, and Dr. Wolfgang Ludwig, MATEIS, INSA Lyon, we are developing a correlative scanning precession electron diffraction and atom probe tomography method to access the three-dimensional (3D) crystallographic character and compositional information of nanomaterials with unprecedented…
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.
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.