Branched web makes hydrogel sensors tougher for Morse-code interaction
Peer-Reviewed Publication
Updates every hour. Last Updated: 27-Oct-2026 01:16 ET (27-Oct-2026 05:16 GMT/UTC)
Researchers have developed tough, conductive RBA hydrogels using a hyperbranched multi-arm crosslinking strategy. The hydrogels form a dense, stable network that enables wearable sensors to monitor full-body motion and support Morse-code-based human–machine interaction.
Quasi-solid-state electrolytes (QSEs) are critical for ultrafast-charging yet high-safety sodium metal batteries (SMBs), yet their implementation is hindered by sluggish Na+ transport in bulk and at interfaces. Here, we propose dual interlocked mediator engineering that transcends conventional independent approaches by coupling cationic Sn2+ salt with anionic difluoro(oxalato)borate (DFOB⁻) salts to simultaneously regulating bulk ion transport and bilateral interface chemistry. During QSE preparation, Sn2+ initiates in situ cationic polymerization, while DFOB⁻ acts as a retarding agent to suppress runaway polymerization. The first interlocking effect in the Sn-FB QSE bulk builds a uniform network, enabling near-unity Na+ transference number (0.94) and robust puncture strength (8.5 kPa). During cell operation, Sn2+ is reduced to form a hybrid NaSn alloy-based solid-electrolyte interphase, while DFOB⁻ oxidizes to generate a robust yet thin cathode–electrolyte interphase, respectively. This second interlocking effect creates adaptable bilateral interphases that facilitate Na+ diffusion and mitigate interfacial degradation. As a result, the symmetric cells exhibit 6000 h stability, and full cells retain 80.1 mAh g–1 at an ultrafast-charging rate of 15C and retain 90% capacity at 3C over 2000 cycles. Furthermore, high-mass-loading full cells and pressure-free pouch cells are demonstrated, underscoring the potential of dual interlocked mediator engineering for practical SMBs.
The research team led by Liying Qu and Weisong Zhao from Harbin Institute of Technology, in collaboration with Peking University, has developed Adaptive-SN2N, an innovative self-supervised learning framework. By introducing a risk-aware adaptive normalization strategy, this method successfully eliminates background artifacts commonly induced by deep learning, preserving high biological fidelity and enabling highly accurate live-cell quantitative analysis.
A research team has mapped how a key ripening regulator helps strawberries develop the color, softness, sweetness, and aroma that define fruit quality.
Ceramic matrix composites (CMCs) are indispensable for the thermal protection system of the hypersonic vehicles. However, the intrinsic brittleness of ceramic matrix limits atom motion, restricting their mechanical stability and ablation resistance. Phase transformation toughening offers an effective solution to overcome such brittleness. Recently, organic-inorganic hybrid infiltration strategy is proposed to construct ZrC nanoparticle reinforced C/C-ZrC-SiC composites. The introduced nanoparticles trigger 3C→6H-SiC polytypic transformation and ZrO2 martensitic transformation, which synergistically realize matrix strengthening and toughening, and anti-ablation performance. The optimized composite achieves a flexural strength of 207.5 MPa, fracture toughness of 7.12 MPa·m1/2 and low linear ablation rate of 0.15 μm·s⁻¹ at ultrahigh temperature.