Zi-Qiang Chen

Near-singular leptonic mixing ($\det P \to 0$) creates a severe, mathematically unavoidable information bottleneck that limits how accurately Earth-based telescopes can ever infer the cosmic origins of high-energy neutrinos.

AI2 methods can now be transformed from bespoke protocols into reusable workflows, significantly enhancing the efficiency of molecular simulations in complex chemical systems.

Forget full fine-tuning: SpecMamba unlocks parameter-efficient few-shot hyperspectral target detection by decoupling semantic representation from agile spectral adaptation using a frequency-aware Mamba adapter.