Author

Maqun Zhang

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#machine learning Preprint Aug 2026

Structured Neural Modeling of Daily Arctic Sea-Ice Concentration Evolution: Physical-Trajectory-Driven Learning and Forecast-Domain Adaptation

Accurate modeling of the daily evolution of sea ice concentration (SIC) is central to improving the credibility and operational forecasting capability of deep learning-based sea ice prediction. However, existing deep learning methods often couple the underlying sea ice evolution relationships and data errors within hig...

Ma-Qun Zhang, Feng Gao, Wan-Kun Chen et al. · 0 citations

Preprint Aug 2026

One-Step Evolution for Long-Time Extrapolation: An Error-Bound-Informed and Prior-Guided Neural Residual Framework for Autonomous PDEs

A numerical-prior-guided, physics-constrained method trained without ground-truth trajectory supervision that reduces long-time extrapolation error relative to the numerical prior and outperforms the best competing baseline in each case, thereby improving long-time simulation accuracy across different PDEs without grou...

Ma-Qun Zhang, Feng Gao, Wan-Kun Chen et al. · 0 citations

Preprint Aug 2026

Physics-Knowledge-Guided Hybrid Neural Learning for Arctic Sea Ice Concentration Evolution and Short-Range Prediction

Results indicate enhanced ice-edge preservation and error-growth control in reanalysis?forced simulation, while PIHIM retains measurable short-range prediction skill under forecast-forced conditions.

Maqun Zhang, Feng Gao, Wan-Kun Chen et al. · 0 citations