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Talies, Jesco (2024) Leveraging Explainable Artificial Intelligence for Enhanced Material Research and Fracture Mechanics. Master's, University of Cologne.
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| Item URL in elib: | https://elib.dlr.de/210507/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Leveraging Explainable Artificial Intelligence for Enhanced Material Research and Fracture Mechanics | ||||||||
| Authors: |
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| Date: | 3 November 2024 | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Künstliche Intelligenz, Erklärbarkeit, Unsicherheitsschätzung, Bruchmechanik, Synchrotrontomographie | ||||||||
| Institution: | University of Cologne | ||||||||
| Department: | Department of Physics, Institute for Biological Physics | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Aeronautics | ||||||||
| HGF - Program Themes: | Components and Systems | ||||||||
| DLR - Research area: | Aeronautics | ||||||||
| DLR - Program: | L CS - Components and Systems | ||||||||
| DLR - Research theme (Project): | L - Structural Materials and Design | ||||||||
| Location: | Köln-Porz | ||||||||
| Institutes and Institutions: | Institute of Materials Research > Metallic and Hybrid Materials | ||||||||
| Deposited By: | Melching, David | ||||||||
| Deposited On: | 13 Jan 2025 08:48 | ||||||||
| Last Modified: | 13 Jan 2025 09:05 |
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