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Xing-Xin Yang

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#machine learning Preprint Sep 2026

VATO: A Vortex-Force-Aware Transformer Operator for Unsteady Separated Aerofoil Flows

Accurate prediction of unsteady separated flows is challenging because the aerodynamic loads depend on nonlinear separation and vortex-shedding dynamics. Although high-fidelity CFD resolves these mechanisms, its cost limits repeated use in design and control. Standard field-level surrogate training, however, does not d...

Xing-Xin Yang, Zhan Zhang, Yi-Chen Li et al. · 0 citations

Preprint Aug 2026

STCO: Conditional Neural Operators for Time-Dependent PDEs

This work introduces the Spatiotemporal Conditional Operator (STCO) for prescribed-condition operator learning (PCOL), a common interface that supplies prescribed target-time condition fields to heterogeneous backbone architectures while retaining their architecture-specific core computation and context pathways.

Xing-Xin Yang, Zhan Zhang, Juan Li · 0 citations