Schedule
The symposium starts on Thursday, January 30 and ends on Friday, January 31, 2020.
| Thursday, January 30th | |
| 12.30 | Registration / Coffee |
| 13.00-13.30 |
Gunther Eggeler IFM, RUBSuperalloy Data in SFB/TR 103 |
| 13.30-14.00 |
Alfred Ludwig IFM, RUBMastering Data in High Throughput Characterization |
| 14.00-14.30 |
Baptiste Gault MPIE, DüsseldorfAtom Probe: Opportunities for Data Mining |
| 14.30-15.00 |
Luca Ghiringhelli Fritz Haber Institute, BerlinMetadata and Ontologies for Computational and Experimental Materials Science |
| 15.00-15.30 |
Tilmann Hickel MPIE, DüsseldorfpyIron: Concepts of Data and Workflow Management Applied to H in Ni-based Superalloys |
| 15.30-16.00 | Coffee Break |
| 16.00-16.30 |
Chris Eberl Fraunhofer IWM, FreiburgThe Digital Transformation in Materials Science and Engineering: From Vision to Community-Driven Implementation |
| 16.30-17.00 |
Catherine M.F. Rae University of Cambridge, UKModelling Non-Isothermal Creep |
| 17.00-17.30 |
Stefan Sandfeld TU, FreibergDislocation Plasticity and Data Science |
| 17.30-18.00 |
Antonin Dlouhy IPM, CZAS, Brno, CZENoisy Creep Data and their Filtering by Machine-Learning Techniques |
| 18.00-21.00 |
Symposium Dinner Location: Beckmanns Hof |
| Friday, January 31th | |
| 8.30 | Registration / Coffee |
| 9.00-9.30 |
Surya R. Kalidindi Georgia Inst. of Technology, USAMaterials Innovation Driven by Data and Knowledge Systems |
| 9.30-10.00 |
Krishna Rajan University of Buffalo, USAA Data Foundry for Superalloy Design |
| 10.00-10.30 | Coffee Break |
| 10.30-11.00 |
Stefanie Reese RWTH AachenData Driven Mechanics – The End of Classical Constitutive Modeling? |
| 11.00-11.30 |
Yunzhi Wang Ohio State University, USAGenerating Synthetic Data of Microstructure and Deformation in Multiphase Alloys Using Phase Field Simulations |
| 11.30-12.00 |
Uwe Glatzel University BayreuthSingle-crystal Superalloys: Parameters Determining Mechanical Properties |
| 12.00-13.00 | Light Lunch |
| 13.00-13.30 |
Thomas Hammerschmidt ICAMS, RUBPredicting Structural Stability with Data Mining and Machine Learning |
| 13.30-14.00 |
Erik Bitzek FAU Erlangen-NürnbergExperimentally Informed Atomistic Simulations as Example of Data-Reuse |
| 14.00-14.30 |
Irina Roslyakova ICAMS, RUBData Mining and Machine Learning Applied to Thermodynamic and Mechanical Properties of Superalloys |
| 14.30-15.00 |
Pascal Thome IFM, RUBStudying Dendrite Growth Combing Qualitative Metallography with Machine-Learning Techniques |
| 15.00 | Coffee and End of Symposiumh |
