Hongshun Liu

Scalable physics-embedded graph neural networks for million-node thermal-fluid digital twins of converter transformers

Real-time artificial intelligence (AI) digital twins for heavy power equipment require high-fidelity forward simulation for anomaly detection, yet traditional solvers suffer from prohibitive latencies. To bridge this gap, we present a physics-embedded deep learning framework achieving an approximate 970-fold accelerati...