Tasan, C. C.; Diehl, M.; Yan, D.; Shanthraj, P.; Roters, F.; Eisenlohr, P.; Raabe, D.: Integrated in-situ experiments – full field crystal plasticity simulations to analyze stress – strain partitioning in multi-phase alloys. Nanomechanical Testing in Materials Research and Development IV, Olhão, Algarve, Portugal (2013)
Yan, D.; Tasan, C. C.; Raabe, D.: High resolution strain mapping coupled with EBSD during in-situ tension in SEM. BSSM 9th Int. Conf. on Advances in Experimental Mechanics, Cardiff, UK (2013)
Yan, D.; Tasan, C. C.; Raabe, D.: High resolution strain mapping coupled with EBSD during in-situ tension in SEM. Interdisciplinary Center for Advanced materials Simulation (ICAMS), Ruhr-Universität Bochum, Bochum, Germany (2013)
Diehl, M.; Yan, D.; Tasan, C. C.; Shanthraj, P.; Eisenlohr, P.; Roters, F.; Raabe, D.: Stress-strain partitioning in martensitic-ferritic steels analyzed by integrated full-field crystal plasticity simulations and high resolution in situ experiments. GDRi CNRS MECANO General Meeting on the Mechanics of Nano-Objects, MPIE, Düsseldorf, Germany (2013)
Yan, D.; Tasan, C. C.; Raabe, D.: Coupled high resolution strain and microstructure mapping based on digital image correlation and electron backscatter diffraction. IMPRS-SurMat Seminar, Meschede, Germany (2013)
Zhang, J.; Raabe, D.; Lai, M.; Yan, D.; Tasan, C. C.: Site-preferential recrystallization and nano-precipitation to achieve improved mechanical properties. MRS Fall Meeting 2016, Boston, MA, USA (2016)
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)
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)
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
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.
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
The structures of grain boundaries (GBs) have been investigated in great detail. However, much less is known about their chemical features, owing to the experimental difficulties to probe these features at the near-atomic scale inside bulk material specimens. Atom probe tomography (APT) is a tool capable of accomplishing this task, with an ability…
Hydrogen embrittlement is one of the most substantial issues as we strive for a greener future by transitioning to a hydrogen-based economy. The mechanisms behind material degradation caused by hydrogen embrittlement are poorly understood owing to the elusive nature of hydrogen. Therefore, in the project "In situ Hydrogen Platform for…