Combining Experiments, Simulations, and Data Science to Understand Damage in 
Dual Phase Steels

Diehl, Martin; Kusampudi, Navyanth; Kusche, Carl; Raabe, Dierk; Korte-Kerzel, Sandra

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Combining Experiments, Simulations, and Data Science to Understand Damage in Dual Phase Steels

Diehl, M., Kusampudi, N., Kusche, C., Raabe, D., & Korte-Kerzel, S. (2020). Combining Experiments, Simulations, and Data Science to Understand Damage in Dual Phase Steels. Talk presented at International Conference on Plasticity, Damage, and Fracture. Riviera May, Mexico. 2020-01-03 - 2020-01-06.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0005-D8A4-E Versions-Permalink: https://hdl.handle.net/21.11116/0000-0005-D8A5-D

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Urheber:
Diehl, Martin^{1, 2}, Autor
Kusampudi, Navyanth¹, Autor
Kusche, Carl², Autor
Raabe, Dierk³, Autor
Korte-Kerzel, Sandra⁴, Autor

Affiliations:
1Integrated Computational Materials Engineering, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_3069168
2Theory and Simulation, Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863392
3Microstructure Physics and Alloy Design, Max-Planck-Institut für Eisenforschung GmbH, Max Planck Society, ou_1863381
4Institut für Metallkunde und Metallphysik, RWTH Aachen University, Aachen 52074, Germany, ou_persistent22