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