Author

Tai-Lin Wu

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Preprint Oct 2026

Real-time Tokamak Equilibrium Reconstruction Under Limited Experimental Data via Physics-Grounded Synthetic Pre-training

Real-time equilibrium reconstruction is essential for tokamak plasma control. Data-driven surrogates are usually trained on high-quality labeled experimental data, but producing a large amount of labeled data sufficient for surrogate learning requires many expensive discharge shots, and few exist at the start of a new...

Ming-Dong He, Qi-Xian Hu, Teng-Fei Xu et al. · 0 citations

#machine learning Preprint Sep 2026

SINO: Scale-Invariant Neural Operator

In scientific machine learning, physical fields governed by partial differential equations exhibit low-rank structure and scale invariance. When solving equations on coarse grids, missing information leads to the closure problem: modeling unresolved physics to recover lost dynamics. Although closure terms depend on gri...

Kai-Chen Ouyang, Cheng-Lei Yu, Chuan-Rui Wang et al. · 0 citations

Preprint Aug 2026

Path Integral Value Matching for Linear Quadratic Stochastic Optimal Control

Empirical results demonstrate that PI-VM matches SOTA precision with an order-of-magnitude efficiency gain in low-dimensional settings, while effectively mitigating mode collapse in high-dimensional scenarios, and offers a scalable solution for solving complex SOC problems.

Bangyan Liao, Cheng-Lei Yu, Yuchen Yang et al. · 0 citations