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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Dai-Wei Dong

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Preprint Sep 2026

A Physics-Driven Framework for Parametric Periodic-Flow Modeling and Finite-Amplitude Aeroelastic Response Analysis

Periodic unsteady flows are common in forced-motion and fluid-structure interaction problems. Their parametric analysis typically requires repeated high-fidelity simulations, whereas existing reduced-order and surrogate models generally rely on pre-generated flow-field or aerodynamic data. This study proposes a purely...

Dai-Wei Dong, Wen-Bo Cao, Wei-Wei Zhang · 0 citations
Oct 2024

PINN-MG: a multigrid-inspired hybrid framework combining the iterative method and physics-informed neural networks

The PMG framework is proposed as a data-free hybrid solver that does not rely on any pretraining and provides a unified mechanism to tightly couple the NN methods with classical iterative solvers, achieving an organic and iterative integration of the two paradigms.

Dai-Wei Dong, W. Suo, J. Kou et al. · 3 citations

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