Author

Jun-Yi Wang

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Open access Aug 2026

Physics-Informed Multi-Fidelity Graph Learning for Sequence-Aware Residual Bolt Preload Prediction in Hyperelastic-Sealed Flanges

Highlights What are the main findings? A physics-informed graph-learning workflow was developed for sequence-conditioned residual preload fields using EICM pre-training, nonlinear-discrepancy transfer, and ultrasonic measurement-based uncertainty quantification. On the augmented development split, TransformerConv-L3 ac...

Jun-Yi Wang, Jiubin Tan, Yong-Meng Liu et al. · Italian National Conference... · 0 citations

Open access Jul 2026

From data chaos to physically interpretable deterministic mapping

It is shown that the method consistently identifies compact governing equations while maintaining strong long-horizon predictive accuracy across canonical nonlinear systems and representative industrial processes, even under noisy and distribution-shifted data.

Dongni Jia, Shuai Li, Xinyi Zuo et al. · Nature Communications · 0 citations