Author

Zhongwei Yu

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#artificial intelligence Preprint Oct 2026

A self-learning scientific agent for X-ray diffraction

A central challenge for scientific agents is to turn analytical experience into reusable expertise grounded in physical evidence. Here we introduce Gan Jiang, a self-learning agent for powder X-ray diffraction built on a diffraction-analysis ecosystem we developed: XMatcher, XQueryer, XDecomposer and WPEM. Together, th...

Bin Cao, Hui-Chi Zhou, Ru-Yun Yang et al. · 0 citations

#machine learning Preprint Aug 2026

Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search

This work introduces the Large Discovery Model (LDM), an empirically grounded recurrent architecture that couples a generative model with a Bayesian non-parametric reward surrogate model, yielding an uncertainty-aware value that guides candidate generation, refinement, and selection.

Zhong-Wei Yu, Yan Song, Xue Yan et al. · 0 citations