A generative diffusion-based AI-model to scrutinise the microstructural degradation of isothermally aged Cu-SAC305 interfaces
Abstract Generative artificial intelligence (genAI) has disrupted multiple disciplines, as it has the potential to drastically change the way content is created. In this study, microstructural grey-value images of thermally aged interfacial Cu–SAC305 microstructures are virtually generated for seen,...
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| Main Authors: | Charlotte Cui, Fereshteh Falah Chamasemani, Michael Reisinger, Peter Imrich, Walter Hartner, Werner Robl, Roland Brunner |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | npj Materials Degradation |
| Online Access: | https://doi.org/10.1038/s41529-025-00603-9 |
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