Author

Hao Sun

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Open access Sep 2026

Fusing physics and AI enhances accuracy and diagnostic capabilities in air quality forecasting

ProNet, a coupled forecasting framework that embeds observation-constrained neural correctors directly into the governing equations of CTMs, is introduced, highlighting the promise of physics–AI coupling for advancing air quality forecasting and deepening the understanding of the complex Earth system.

Huang-Jian Wu, Zi-Fa Wang, Yuan-Hang Zhang et al. · National Science Review · 0 citations

Review Aug 2026

Intern-S2-Preview: Scientific Agentic Foundation Model

Evaluations across scientific, multimodal, agentic, and general-purpose benchmarks show that Intern-S2-Preview-397B achieves competitive or leading results in multiple settings.

Lei Bai, Jiaqi Cao, Chiyu Chen et al. · 3 citations

Preprint Jul 2026

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade

The proposed LLM agent early-stopping cascade outperforms the best single-gate baseline in every model-environment pair, saving 1.5-8.8 times more compute at a 90% recall target.

Kai Ruan, Zihe Huang, Ziqi Zhou et al. · 1 citation