Geometrical shape learning as basis for compact microstructure representations and microstructure-properties linkages
Process-structure-properties linkages play a major role in materials and process engineering. Nowadays, such linkages are often established on the basis of experimental data and simulation data using machine learning approaches. For this purpose, typically, state-of-the-art feature extraction method...
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Main Authors: | Rodrigo Iza Teran, Daniela Steffes-lai, Lukas Morand |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
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Series: | European Journal of Materials |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/26889277.2025.2454654 |
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