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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Bibliographic Details
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
Series:npj Materials Degradation
Online Access:https://doi.org/10.1038/s41529-025-00603-9
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