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Author

Jun Jiang

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Aug 2026

Programmable Vacancy Topology in High-Entropy-Alloy-Inspired Multiprincipal Alloys Directs Ru-Centered Alkaline Hydrogen Evolution.

Vacancy topology in multiprincipal alloys provides a controllable handle to tune interfacial reaction pathways, yet practical routes to program vacancies in ultrasmall alloys remain scarce. Here, we report an H2-free, volatility-assisted MOF-to-alloy synthesis in an inert atmosphere that yields sub-4 nm MnFeRuCoNi-base...

Huiyong Huang, Wenhui Zhong, Qiao-Ling Kang et al. · 0 citations
Sep 2026

Knowledge-Guided Autonomous Discovery of Microenvironment-Tuned Metal–Organic Framework Photocatalysts

Designing second-sphere microenvironments that promote proton-coupled electron transfer is central to catalysis yet difficult to achieve in porous solids, such as metal–organic frameworks (MOFs). Here, we report an end-to-end workflow that couples literature-guided large-language-model (LLM) reasoning with real-time...

Yi-Ming Zhao, Tao Song, Lin-Jiang Chen et al. · 0 citations
Sep 2026

SynOmega: Simplifying Retrosynthesis for Efficient Synthesizability Scoring

Synthesis-based synthesizability scoring triages molecules from generative design but is expensive: every score requires a multi-step search, so SynOmega offers a cheap, data-level action-space constraint that makes route-based synthesizability scoring more efficient without sacrificing solvability.

Bai-Cheng Zhang, Guo-Qing Zhang, Jun Jiang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

A computable representation of the physical laboratory enables verifiable workflows

The proposed representation and its engineering framework jointly establish a general computational interface between agent reasoning and capability-bound physical transformations, providing a foundation for end-to-end autonomous scientific discovery.

Xiao-Bo Li, Lu-Yao Ge, Xiao-Hui Li et al. · 0 citations
Preprint Jul 2026

Language models guide symbolic equation discovery by controlling search

This work compares role specifications in which the language model acts as equation author, candidate decider or search controller, alongside end-to-end language-model and purely numerical baselines and suggests that language models should shape hypothesis exploration rather than decide which equations survive.

Zikai Xie, Wenmei Li, Man Luo et al. · 1 citation

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