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Mengqiu Qin

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Open access Jul 2026

PRCT-Net: A Transfer-Learning Physics-Informed Convolutional Transformer for Fast Surrogate Prediction of Confined Dual-Cylinder 3D Free-Surface Two-Phase Flow

The results demonstrate that the proposed PRCT-Net substantially enhances computational efficiency while maintaining high prediction accuracy for two-phase flow problems, and supports single-stage training and sustained deployment, enabling robust inference across a wide range of unseen operating conditions.

Xiao Zhang, Qingkai Zhao, Xinyao Zeng et al. · 0 citations