Author

Xin-Yi Li

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Preprint Nov 2026

Mesh2Shell Neural Operator for Inverse Shape Optimization

Physics-driven design seeks high-performing geometries, which need not conform to a learned shape category. Parametric and latent-space approaches facilitate surrogate-based optimization, but restrict deformations to prescribed shape families or learned decoders. We introduce the Mesh-to-Shell Neural Operator (M2S-NO)...

Xin-Yi Li, Xi Deng, Yu-Bo Cao et al. · 0 citations

Preprint Oct 2026

FG-ConvNO: A Geometry-Aware Neural Operator for Propeller CFD Prediction

Computational Fluid Dynamics (CFD) is essential in contemporary engineering design, yet it remains expensive to compute and can take thousands of CPU/GPU hours or more for a single high-fidelity simulation. Recent developments in machine learning for scientific modeling have led to powerful surrogate frameworks that ca...

Yi-Chen Di, Valentin Duruisseaux, Di Zhou et al. · 1 citation