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ZJ
Verified CAS / Academic Author2 Decoded Studies

Prof. ZOU Jing

Wuhan Institute of Technology

Co-Affiliations:Not specified in the provided text

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4299-9

Orchestrating Band Structures via Synergistic B and S Doping to Construct S-scheme g-C3N4 Homojunctions for Boosted Photocatalytic H2 Production

A dual-doping strategy incorporating boron (B) and sulfur (S) into graphitic carbon nitride (g-C3N4) was employed to engineer band structures and construct an S-scheme homojunction (BSCN) for enhanced photocatalytic hydrogen (H2) evolution. The BSCN catalyst exhibited an interwoven architecture of porous nanotubes and nanosheets, providing a large specific surface area and abundant active sites. In situ X-ray photoelectron spectroscopy (XPS) and density functional theory (DFT) calculations revealed an S-scheme charge transfer mechanism at the BCN/SCN interface, driven by a built-in electric field that facilitates efficient spatial separation of photogenerated charge carriers. Photoelectrochemical measurements confirmed improved light harvesting and charge separation. DFT simulations indicated near-thermoneutral hydrogen adsorption free energy (ΔGH* = 0.12 eV) at S-doped sites, favorable for hydrogen evolution reaction (HER) kinetics. The optimized BSCN achieved an exceptional H2 evolution rate of 14.409 mmol g−1 h−1, approximately 75-fold and 3.4-fold higher than pristine BCN and SCN, respectively. This work establishes a rational doping-mediated approach for designing high-efficiency g-C3N4 homojunctions and provides mechanistic insights into S-scheme charge transfer for solar-driven H2 production.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3964-5

Comfort-tailored, zero-carbon thermoregulation fabric enabled by shape memory artificial muscles with noticeable amplitude

The escalating demand for personalized thermal-moisture comfort, coupled with the high energy consumption of conventional heating and cooling systems and the imperative for low-carbon energy conservation, has driven the development of shape memory smart fabrics that respond to environmental changes. However, existing shape memory thermal-moisture management fabrics suffer from excessively high response temperatures, inadequate response performance, and suboptimal thermal-moisture management. In this work, a dual-network shape memory polymer (SMP) was synthesized, and its shape memory transition temperature was tuned to align with the human thermal comfort range. The polymer was processed into fibers and subsequently into twisted-coiled artificial muscles to enhance reversible strain. Woven with wool into a plain fabric, the resulting textile exhibits adaptive thermal-moisture management, achieving a warp reversible strain of up to 17.5%. At elevated temperatures, the fabric contracts, exhibiting an air permeability of 1546 mm/s and thermal conductivity of 0.0518 W/(m·K); at lower temperatures, it elongates, with air permeability of 1322 mm/s and thermal conductivity of 0.0426 W/(m·K), thereby realizing 'warm when cool and cool when hot' functionality. Compared with commercial wool fabrics, this smart fabric lowers the skin microenvironment temperature by 1.5 °C and offers an energy savings potential of approximately 222.58 MJ/m² per year in capital cities such as Beijing. This work provides a novel technical pathway and design approach for future personalized comfort and low-carbon, energy-saving textiles.