Tasan, C. C.; Hoefnagels, J. P.M.; Diehl, M.; Yan, D.; Roters, F.; Raabe, D.: Strain localization and damage in dual phase steels investigated by coupled in-situ deformation experiments and crystal plasticity simulations. International Journal of Plasticity 63, pp. 198 - 210 (2014)
Eisenlohr, P.; Diehl, M.; Lebensohn, R. A.; Roters, F.: A spectral method solution to crystal elasto-viscoplasticity at finite strains. International Journal of Plasticity 46, pp. 37 - 53 (2013)
Shanthraj, P.; Diehl, M.; Eisenlohr, P.; Roters, F.; Raabe, D.: Spectral Solvers for Crystal Plasticity and Multi-physics Simulations. In: Handbook of Mechanics of Materials, pp. 1347 - 1372 (Eds. Hsueh, C.-H.; Schmauder, S.; Chen, C.-S.; Chawla, K. K.; Chawla, N. et al.). Springer, Singapore (2019)
Diehl, M.; Naunheim, Y.; Yan, D.; Morsdorf, L.; An, D.; Tasan, C. C.; Zaefferer, S.; Roters, F.; Raabe, D.: Coupled Experimental-Numerical Analysis of Strain Partitioning in Metallic Microstructures: The Importance of Considering the 3D Morphology. In: Session 1.3a, Strain Measurement at the Microscale 1, pp. 1 - 2. BSSM 12th International Conference on Advances in Experimental Mechanics, Sheffield, UK, August 29, 2017. (2017)
Roters, F.; Eisenlohr, P.; Kords, C.; Tjahjanto, D. D.; Diehl, M.; Raabe, D.: DAMASK: The Düsseldorf Advanced MAterial Simulation Kit for studying crystal plasticity using an FE based or a spectral numerical solver. IUTAM Symposium on Linking Scales in Computations: From Microstructure to Macro-scale Properties, Pensacola, FL, USA, May 17, 2011 - May 19, 2011. IUTAM Symposium on Linking Scales in Computations: From Microstructure to Macro-scale Properties, (2012)
Roters, F.; Diehl, M.; Eisenlohr, P.; Shanthraj, P.: DAMASK: the Düsseldorf Advanced MAterial Simulation Kit for studying multi-field crystal plasticity phenomena. Invited online seminar Harbin Institute of Technology, online
, Shenzhen, China (2023)
Kusampudi, N.; Diehl, M.: Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization. Working Group Microstructural Mechanics, Deutsche Gesellschaft für Materialkunde e.V., Applications of Machine Learning for Mechanical Behavior of Materials, Online (2022)
Roters, F.; Diehl, M.; Eisenlohr, P.; Shanthraj, P.: DAMASK: the Düsseldorf Advanced MAterial Simulation Kit for studying multi-field crystal plasticity phenomena. Seminar, Engineering Science Department at the University of Oxford, virtual, Oxford, UK (2021)
Diehl, M.; Kusampudi, N.: Using machine learning and crystal plasticity simulation to design damage resistant dual phase steels. Webinar: Metal Plasticity Seminar - Artificial Intelligence, Machine Learning and Big Data in Metal Plasticity, Leuven, Belgium (2021)
Roters, F.; do Nascimento, A. W. P.; Roongta, S.; Diehl, M.: An optimized method for the simulation-based determination of initial parameters of advanced yield surfaces for sheet metal forming applications. Complas 2021, online (2021)
Raabe, D.; Diehl, M.; Shanthraj, P.; Sedighiani, K.; Roters, F.: Multi-scale and multi-physics simulations of chemo-mechanical crystal plasticity problems for complex engineering materials using DAMASK. Online Colloquium Lecture, Department of Materials Science and Engineering, KTH Royal Institute of Technology, Stockholm, Sweden (2020)
Roters, F.; Diehl, M.; Sedighiani, K.: (Re-) formulation of dislocation density based crystal plasticity models in view of insights from parameter determination. Oberwolfach Workshop: Mechanics of Materials: Towards Predictive Methods for Kinetics in Plasticity, Fracture, and Damage, Oberwolfach, Germany (2020)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
Thermo-chemo-mechanical interactions due to thermally activated and/or mechanically induced processes govern the constitutive behaviour of metallic alloys during production and in service. Understanding these mechanisms and their influence on the material behaviour is of very high relevance for designing new alloys and corresponding…
Electron channelling contrast imaging (ECCI) is a powerful technique for observation of extended crystal lattice defects (e.g. dislocations, stacking faults) with almost transmission electron microscopy (TEM) like appearance but on bulk samples in the scanning electron microscope (SEM).
The project aims to study corrosion, a detrimental process with an enormous impact on global economy, by combining denstiy-functional theory calculations with thermodynamic concepts.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.