Tasan, C. C.: Overcoming challenges in damage engineering: Design of reliable damage quantification methodologies and damage-resistant microstructures. TMS 2015, Orlando, FL, USA (2015)
Tasan, C. C.; Diehl, M.; Yan, D.; Raabe, D.: Coupled high-resolution experiments and crystal plasticity simulations to analyze stress and strain partitioning in multi-phase alloys. TMS2015, Orlando, FL, USA (2015)
Tasan, C. C.; Yan, D.; Raabe, D.: A novel, high-resolution approach for concurrent mapping of micro-strain and micro-structure evolution up to damage nucleation. TMS 2015, Orlando, FL, USA (2015)
Morsdorf, L.; Tasan, C. C.; Ponge, D.; Raabe, D.: Lath martensite transformation, µ-plasticity and tempering reactions: potential TEM aids. Seminar at Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (2015)
Tasan, C. C.: Doing more, with less, for longer:Designing high-performance eco-friendly materials guided by in-situ experiments and simulations. Invited Seminar at the Dept. of Mat. Sci. and Eng. of MIT, Boston, MA, USA (2015)
Tasan, C. C.: Investigating Stress - Strain Partitioning in Nanostructured Multi-phase Alloys by Coupled Experiments and Simulations. 3rd World Congress on Integrated Computational Materials Engineering, Colorado Springs, CO, USA (2015)
Tasan, C. C.: Doing more, with less, for longer: Designing high-performance eco-friendly materials guided by in-situ experiments and simulations. Invited Seminar at the Dept. of Mat. Sci. and Eng. of MIT, Boston, MA, USA (2015)
Tasan, C. C.; Morsdorf, L.: In-situ characterization of martensite plasticity by high resolution microstructure and strain mapping. ICM12, Karlsruhe, Germany (2015)
Diehl, M.; Shanthraj, P.; Roters, F.; Tasan, C. C.; Raabe, D.: A Virtual Laboratory to Derive Mechanical Properties. M2i Conference "High Tech Materials: your world - our business"
, Sint Michielgestel, The Netherlands (2014)
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
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
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…
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.
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…
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.