SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4350-4
Flexible wearable sensors have transformed motion tracking, soft robotics, and human-machine interfaces by enabling precise movement detection and adaptability to curved surfaces. However, conventional composite sensors often face challenges such as limited sensitivity, detection range, linearity, and durability. In this study, we propose a stretchable auxetic sensing textile with a negative Poisson’s ratio (NPR) structure, incorporating reduced graphene oxide (rGO) and carbon nanotubes (CNT) by micro-crack engineering to enhance its mechanical durability and sensing performance. Integrating macro-scale NPR with micro-scale wrinkles, this innovative design achieves a high sensitivity of 11.2 within a wide detection range (0-100%), a more linear sensing range with an R2 value of 0.998, an ultra-low detection limit of 0.5%, and exceptional durability, outperforming conventional wearable sensors. Additionally, the textile sensor boasts excellent moisture permeability (32.7 g m⁻² h⁻¹) and a remarkable NPR value of -0.25, ensuring comfort and adaptability for various wearable applications. Integrated with deep learning algorithms, the auxetic sensing textile demonstrates 98% accuracy in recognizing soft robotic movements at various bending angles. It is capable of capturing both small-scale physiological signals, such as electrocardiograms, and large-scale movements, offering significant freedom of movement and adaptability to complex surfaces.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3759-7
The inherent strength-ductility trade-off in materials science poses a significant challenge for structural applications. In composites, rational regulation of reinforcement structure and distribution can enhance both strength and ductility. Typical structures such as network, layered, and columnar have proven effective, yet issues like narrow size ranges, uneven distribution, and weak interfacial bonding limit performance. Here, we present a bioinspired multi-scale heterogeneous layered composite (MHLC) that achieves an optimal balance between strength and ductility. This heterogeneous layered structure comprises alternately stacked Cu-Ti layers and GNPs/Cu layers. The Cu-Ti layer contains uniformly distributed plate-like β-Cu4Ti intermetallic compounds, while the GNPs/Cu layer contains layered graphene nanoplatelets (GNPs). The size, distribution, and shape of reinforcements can be adjusted through heat treatment and cold rolling, enabling a balance between strength and ductility. Molecular dynamics simulation and finite element simulation were conducted to investigate the structural evolution of β-Cu4Ti and the influence of reinforcements on tensile properties, respectively. Results show that under tensile deformation, high-strain regions in the Cu-Ti layer are more numerous than in the GNPs/Cu layer. At an applied strain of 7.96%, fracture and deformation of reinforcements occur; at 23.98%, voids appear and develop into cracks. Cracks propagate along high-strain paths, forming a zigzag fracture pattern at the interface, indicating high interfacial bonding strength. The bending deformation of β-Cu4Ti suggests it possesses high hardness, strength, and excellent toughness. Our results provide important references for exploring multi-scale heterogeneous layered structures in enhancing strength and ductility of composites.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3810-y
Amorphous metal-organic frameworks (aMOFs), with abundant defects and unsaturated coordination sites, are ideal precursors for investigating electrocatalytic reconstruction mechanisms. However, systematic understanding of how different modulation strategies affect reconstruction pathways and final active species remains lacking. Here, an amorphous MOF constructed from 3,4,9,10-pyrene-tetracarboxylic acid (PTA) serves as a controllable precursor to compare doping and alloying effects on structural reconstruction and oxygen evolution reaction (OER) performance. Doping promotes preferential reconstruction into Fe-rich (oxy)hydroxides with more exposed active sites, whereas alloying yields Fe-Co mixed (oxy)hydroxides with limited site exposure. The doped system FeCo0.05-PTA exhibits outstanding OER activity in alkaline conditions, with overpotentials of 208 and 248 mV at 50 and 100 mA cm−2, respectively, and a low Tafel slope of 36.2 mV dec−1. In situ Fourier transform infrared spectroscopy (FTIR) captures the OOH* intermediate, confirming the adsorbate evolution mechanism. Density functional theory (DFT) calculations show the doped system has the lowest free-energy barrier (ΔG = 0.59 eV) at the rate-determining step. This study underscores the decisive role of precursor design, elucidates distinct effects of doping and alloying on reconstruction pathways and final properties of amorphous MOF-derived (oxy)hydroxides, and provides insights for designing related electrocatalysts.