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Shao-Wu Pan

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#artificial intelligence Preprint Sep 2026

SMORE: Stability-Promoting Mesh-Agnostic Model Reduction for Time-Dependent PDEs

High-fidelity simulations of time-dependent partial differential equations (PDEs) are computationally expensive, motivating data-driven reduced-order surrogates for many-query tasks such as uncertainty quantification, design optimization, data assimilation, and optimal control. However, existing surrogate models often...

Yang-Yuan Li, Wei-Chao Li, Shao-Wu Pan · 0 citations
Preprint Sep 2026

Deep Koopman Sensing

Real-time reconstruction of fluid flows from sparse sensor measurements is important for both physical understanding and flow control. When first-principles models are too expensive for online data assimilation (DA), learned reduced-order models provide an efficient alternative, but are commonly optimized for forward p...

Nithin Somasekharan, Yadi Cao, Shao-Wu Pan · 0 citations

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