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Verified CAS / Academic Author3 Decoded Studies

Prof. Xuan Yang

School of Materials Science and Engineering, Tsinghua University

Co-Affiliations:Institute of Advanced Electrochemical Energy, Xi'an University of Technology

Research Publications & English Decoded Briefs

Showing 3 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3545-7

Magnetic Oxygen-Generating Robots via a Self-Healing Hydrogel-Based Modular Assembly Strategy

Magnetically driven hydrogel robots show promise in biomedical and underwater applications due to remote controllability, flexibility, biocompatibility, and chemical stability. However, limited functional integration restricts their adaptability. Here, a universal modular assembly strategy is introduced using a self-healing κ-carrageenan/polyacrylamide hydrogel embedded with magnetic particles, enabling free assembly of magnetic actuation modules. These modules construct soft robots with complex geometries and magnetization distributions, allowing diverse deformations under magnetic fields. The strategy further integrates photocatalysis by embedding Ru-Bi2CrO6 photocatalysts into functional modules, yielding an oxygen-generating robot. This robot exhibits flexible underwater movement via magnetically controlled oscillatory actuation, minimizing water agitation while supplying stable oxygen to specific aquatic environments. The photocatalytic oxygen evolution rate reaches 389.1 μmol g−1 h−1. The hydrogel skeleton suppresses particle aggregation and sedimentation, and facilitates magnetic recovery. This scalable and adaptable approach advances multifunctional soft robot design.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4074-6

AI for Electrocatalytic Energy Conversion: From Atoms to Industry

Achieving carbon neutralization relies heavily on green hydrogen and electrochemical carbon-nitrogen cycles. However, the complexity of these systems and the cost of traditional Edisonian trial-and-error methods hinder rapid progress. Artificial intelligence (AI) has emerged as a transformative tool, enabling high-throughput data processing and dynamic adaptation. This review surveys the landscape of AI-driven electrochemistry, bridging the gap from atomic-scale design to industrial-scale implementation. Specifically, we focus on three areas: atomic structure-function decoding, fully automated “self-driving” laboratories, and macro-scale simulations for device durability. Furthermore, we elucidate the critical challenges in integrating AI with materials science. By mapping current trends and future directions, this work aims to unlock the full transformative potential of AI in next-generation energy storage and conversion.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4132-y

Pinning effect mitigating Jahn-Teller distortion of manganese-rich phosphate cathodes in sodium-ion batteries

Manganese-iron-based mixed polyanionic cathodes are promising for sodium-ion batteries (SIBs) due to high energy density and operating voltage, but suffer from Jahn-Teller distortion of Mn3+ that degrades cycling stability. Here, a structural modulation strategy via Mg2+ doping is reported. Electrochemically inert Mg2+ forms stronger chemical bonds, adjusts lattice parameters, and suppresses Jahn-Teller distortion, enhancing structural stability. Mg2+ also widens sodium-ion diffusion channels, improving diffusion kinetics. Additionally, an in-situ three-dimensional carbon nanotube (CNT) conductive network boosts electronic conductivity. The resulting NFMPP-Mg@CNTs cathode delivers a discharge capacity of 126 mAh g−1 at 0.1 C (near theoretical 129 mAh g−1), retains 80% capacity after 3000 cycles at 0.5 C, and achieves an energy density of 401 Wh kg−1, among the highest reported for mixed phosphate systems. Ex-situ XPS and first-principles calculations confirm that Mg2+ resists geometric distortion by enhancing lattice stability and widening Na+ diffusion pathways (migration barrier reduced from 0.566 to 0.398 eV). This work provides a viable route for high-energy, long-life SIB cathodes suitable for large-scale energy storage.