Nano-TO with multi-shell filtering and conditional diffusion models co-optimizes topology and surface physics in aluminum nanostructures up to 650k atoms, revealing size-dependent truss-to-wall topology selection.
(2023) Debias coarsely, sample conditionally: statistical downscaling through optimal transport and probabilistic diffusion models
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SerpentFlow aligns large-scale wind patterns across GCM and observational domains then uses flow-matching to generate consistent fine-scale multivariate wind fields, outperforming standard bias correction in spatial coherence and robustness.
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IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales
Nano-TO with multi-shell filtering and conditional diffusion models co-optimizes topology and surface physics in aluminum nanostructures up to 650k atoms, revealing size-dependent truss-to-wall topology selection.
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Generative Unsupervised Downscaling of Climate Models via Domain Alignment: Application to Wind Fields
SerpentFlow aligns large-scale wind patterns across GCM and observational domains then uses flow-matching to generate consistent fine-scale multivariate wind fields, outperforming standard bias correction in spatial coherence and robustness.