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News/Scalable Bayesian Optimization of Composite Functions for Image-Based Inverse Problems in Materials Characterization
arxiv
PublishedSeptember 3, 2026 at 4:00 AM

Scalable Bayesian Optimization of Composite Functions for Image-Based Inverse Problems in Materials Characterization

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arXiv:2609.02126v1 Announce Type: new Abstract: Estimating physical parameters from scientific images is a common inverse problem in materials characterization that often relies on expensive physics-based simulations. In electron microscopy, specimen thickness and crystal mistilt are critical parame

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