SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4405-9
Conventional metal-halide X-ray scintillators, including Bi4Ge3O12 (BGO), Cs(Na)I:Tl, and Lu1.8Y0.2SiO5:Ce (LYSO), suffer from hygroscopic decomposition, high-temperature fabrication, and mechanical rigidity, which restrict their deployment in harsh-environment radiography. This study reports a nontoxic zero-dimensional organic–inorganic hybrid copper(I) halide, Cu2I2(C26H36NP)2 (Compound G), synthesized via a room-temperature solution route. The bulky phosphine ligands confer exceptional superhydrophobicity, with the material retaining 91.95% of its initial luminescence after 30 days of water immersion. A flexible scintillator screen fabricated from styrene-ethylene-butene-styrene (SEBS) exhibits a light yield of ~32,500 photons MeV-1, a spatial resolution of 19.14 lp mm-1, and a detection limit of 0.8 μGyair s-1. The screen enables stable X-ray imaging under flexible, high-temperature, and underwater conditions, eliminating vignetting and distortion in nonplanar objects. These metrics demonstrate that the superhydrophobic copper(I) halide scintillator addresses the water-stability bottleneck of commercial scintillators while delivering competitive light output and resolution, offering a viable pathway for medical diagnosis, nondestructive inspection, security checking, and space exploration.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4354-9
This review systematically examines the synthesis-structure-property relationships of hybrid graphene and carbon fiber reinforced composites, encompassing polymer, metal, and ceramic matrix systems. The hybridization of graphene with carbon fibers addresses the intrinsic limitations of conventional composites, such as weak interfacial bonding and insufficient multifunctionality. The review consolidates recent advances in fabrication strategies, including electrophoretic deposition, layer-by-layer assembly, and precursor impregnation, which enable controlled graphene distribution and orientation. Critical analyses of mechanical, tribological, electrochemical, and anti-ablation properties reveal that graphene addition significantly enhances interfacial shear strength, thermal stability, and electrical conductivity. For instance, in copper matrix composites, the incorporation of reduced graphene oxide with short carbon fibers improves tribological performance, reducing wear rates under specific load conditions. In ceramic matrix composites, graphene-modified C/C-SiC composites exhibit superior anti-ablation resistance, with mass loss rates reduced by up to 30% at elevated temperatures. Furthermore, graphene-coated carbon fiber electrodes demonstrate high specific capacitance and cycling stability in energy storage applications. The review also addresses challenges such as dispersion uniformity, scalability, and cost-effectiveness, proposing future directions for industrial adoption. By providing a comprehensive framework, this work guides the design of next-generation hybrid composites tailored for aerospace, automotive, and energy storage sectors.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4262-7
The escalating demands of artificial intelligence, machine learning, and neural computing necessitate multifunctional optoelectronic devices capable of integrating sensing, memory, and processing. Two-dimensional van der Waals heterostructures (vdWHs) offer unique advantages, yet their practical deployment is hindered by complex architectures and inefficient mode-switching. Here, we demonstrate a MoTe2/SnS2 anti-ambipolar heterojunction device enabling single-gate reconfiguration among frequency doubling, broadband photodetection, and neuromorphic computing. The device exhibits a peak-to-valley ratio (PVR) of 465, ensuring efficient frequency doubling. As a photodetector, it operates across an exceptionally broad spectral range of 520–2200 nm, with outstanding responsivity and detectivity. Furthermore, the device emulates complete synaptic behaviors, including short-term plasticity (STP), long-term plasticity (LTP), and paired-pulse facilitation (PPF). Integrated into a reservoir computing (RC) system trained on a vehicle motion dataset, it achieves a directional recognition accuracy of 98.7%. This work establishes a paradigm for multifunctional integration and low-power neuromorphic computing, advancing next-generation intelligent optoelectronic systems.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4199-8
High-entropy borides (HEBs) represent an emerging class of high-entropy materials that have garnered significant attention as ultra-high-temperature ceramics (UHTCs). By leveraging the high configuration entropy effect, HEBs stabilize single-phase solid solutions, exhibiting a suite of properties unattainable in traditional binary borides. This review systematically consolidates research progress on HEBs, beginning with theoretical predictions and component design via first-principles methods. It then details typical HEB systems and principal synthesis techniques, including arc melting and spark plasma sintering. The core analysis evaluates the outstanding performance of HEBs, emphasizing exceptional mechanical properties such as ultra-high hardness and excellent fracture toughness, alongside high-temperature friction and wear behavior, and oxidation resistance. Finally, the review outlines application prospects in extreme environments like aerospace and cutting tools, while also addressing current challenges. The paper underscores the potential of HEBs to overcome the hardness-toughness trade-off inherent in conventional ceramics, driven by strong metal-boron hybridization. This comprehensive overview positions HEBs as promising candidates for next-generation thermal and mechanical protection systems, with future research directions focusing on optimizing compositions and processing to tailor properties for specific applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3725-1
Conductive hydrogel-based stretchable electronics have been extensively investigated, with strain sensors being the most prominently studied. While mechanical properties significantly affect device performance, the systematic correlation between specific mechanical parameters and sensing performance remains rarely explored. This work compares the influences of Young’s modulus and mechanical hysteresis on sensing performance between highly entangled PAM-Li and double-network PAM-Li-Agar-3 strain sensors. Owing to the brittle agar network, which imparts a higher Young’s modulus and pronounced mechanical hysteresis to the double-network PAM-Li-Agar-3 hydrogel, the corresponding sensor requires a greater driving force for deformation and yields signals with poor reproducibility. In contrast, the PAM-Li hydrogel, characterized by highly entangled polymer chains, exhibits a lower Young’s modulus and negligible mechanical hysteresis. Consequently, signals from the PAM-Li strain sensor demonstrate enhanced sensitivity and stability. Therefore, this work demonstrates that a low Young’s modulus and minimal mechanical hysteresis are critical factors for achieving superior sensing performance in strain sensors, as systematically validated through comparative analyses across diverse application scenarios.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604001
This study systematically investigated the occurrence, spatial distribution, sources, and ecological risks of 160 pesticides in Dianchi Lake, a typical plateau lake impacted by agricultural activities. A total of 37 pesticides were detected in the water, with total concentrations ranging from 64.2 to 1132.8 ng/L (average 610.0 ng/L). Fungicides, including boscalid (BOS), fluopicolide (FPC), and dimethomorph (DMM), were dominant, contributing up to 65.0% of the total concentration. Spatially, the southern lake region exhibited significantly higher concentrations (672.5 ng/L) than the north, attributed to intensive facility agriculture. Highly hydrophobic pesticides, such as penconazole (PEN), showed a tendency to enrich in bottom layers. Source apportionment identified inflowing rivers and wastewater treatment plant effluents as primary input sources, with average concentrations 7 and 9 times higher than lake water, respectively. Ecological risk assessment revealed that pesticides posed the highest risk to algae, followed by daphnia and fish. Prometryn (PMT) was identified as a high-risk factor for algae, while profenofos (PFF) and carbendazim (CBD) posed potential threats to higher trophic levels. These findings provide fundamental data and technical support for understanding pesticide pollution in plateau lake ecosystems.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605002
The single-phase partial nitrification and anammox (SPN/A) process has seen limited widespread application due to its slow startup and difficulties in enriching anaerobic ammonium-oxidizing bacteria (AnAOB). This study utilized high-ammonia nitrogen wastewater to initiate and enhance the SPN/A process in a pilot-scale integrated fixed-film activated sludge (IFAS) reactor. By establishing an IFAS-SPN/A coupled system based on the symbiotic relationship between biofilm and sludge, rapid startup and efficient AnAOB enrichment were achieved. An innovative sludge inoculation strategy was employed: first, conventional nitrifying sludge was inoculated to initiate shortcut nitrification and allow ammonia-oxidizing bacteria (AOB) to colonize blank carriers; subsequently, anammox sludge was inoculated to promote efficient AnAOB enrichment on the AOB biofilm. The influent was low-temperature shift condensation water from a synthetic ammonia workshop, with an average ammonium nitrogen concentration of 2300 mg/L and COD ranging from 50 to 200 mg/L. The 180-day experiment comprised three stages: shortcut nitrification startup, SPN/A startup, and load intensification. The system successfully started up SPN/A within 120 days, achieving total nitrogen removal efficiency and removal load of (90.21±2.18)% and (0.31±0.07) kg/(m³·d), respectively, through synergistic biofilm and suspended microorganisms. During load intensification, AnAOB relative abundances in biofilm and flocs reached 18.8% and 35.3%, respectively, and removal load increased to (0.64±0.11) kg/(m³·d). Stable influent quality is a prerequisite for efficient and stable nitrogen removal; a surge in influent ammonium concentration caused nitrite accumulation imbalance and deteriorated performance. Adding an equalization tank before the aeration tank mitigates water quality fluctuations, and a 'dilution-reconstruction' strategy for low-ammonia wastewater facilitates rapid recovery after performance deterioration.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202511003
Tailings dam leakage can cause secondary sudden water pollution events, imposing severe combined stress of high turbidity and heavy metal contamination on natural water bodies within a short period, threatening aquatic ecological security. Existing studies have systematically revealed the pollution characteristics and biological effects of such events, which are fundamentally distinct from natural high-turbidity water and industrial wastewater leakage. Compared with natural high-turbidity water, tailings leakage inputs finer particles with higher specific surface area, leading to more intense and prolonged turbidity stress. Meanwhile, heavy metals in tailings are more enriched than natural sediments, with higher proportions of active forms and bioavailability, causing significant bioaccumulation and toxic effects, and long-term decline in benthic community species richness. Compared with industrial wastewater leakage, tailings leakage simultaneously releases high concentrations of fine suspended solids and multiple heavy metals, forming a unique 'physical-chemical' combined stress. This synergistic effect amplifies biological toxicity through multiple pathways such as mechanical damage, light limitation, and oxidative stress, resulting in severe and often irreversible ecological damage, such as impaired fish swimming behavior and collapse of benthic community structure. Analyzing the long-term impacts of tailings leakage on aquatic ecosystems from the perspective of combined stress is helpful for providing scientific basis for emergency response and medium-to-long-term ecological risk prevention of related sudden water pollution events.