SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4415-3
The escalating demands of military stealth platforms and the proliferation of electromagnetic pollution have intensified the need for high-performance electromagnetic wave (EMW) absorbers. Nanofibers, characterized by high specific surface area and favorable composite compatibility, are engineered into absorbers with outstanding electromagnetic properties. This review consolidates the preparation and optimization strategies for nanofiber-based absorbers. The electromagnetic attenuation mechanisms are first outlined, followed by a systematic classification of nanofiber fabrication methods into two principal categories: in-situ synthesis and electrospinning-derived processes. Recent advances in optimization strategies for absorbers constructed from nanofibers with tailored electromagnetic characteristics are then examined. The review draws upon representative studies, including ultrathin and flexible electromagnetic interference shielding films via interface-confinement, design strategies for wave-absorbing polymer-based shielding materials, impedance-matchable 3D MXene sponge/NiFe@NC heterostructures with tunable pores, and the influence of fiber coating on SiCf/epoxy composites. These works collectively demonstrate the critical role of fiber architecture, interface engineering, and impedance matching in determining absorption performance. The analysis identifies persistent challenges in scalability, cost, and environmental stability, and outlines future prospects for nanofiber-based EMW absorbers. This review provides a foundational reference for researchers and engineers seeking to translate nanofiber absorber concepts into deployable stealth and pollution-mitigation technologies.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4322-4
Ultrafast scintillators with low-nanosecond emission are essential for next-generation high-rate X-ray and particle imaging. Although Ce3+-activated scintillators inherently exhibit fast response characteristics, conventional Ce3+-doped hosts rarely achieve low-nanosecond ultrafast decay. Here, we report a high-entropy fluoride scintillator (HEFS), Ce:LaGdCaSrBaF12 (Ce:LGCSB), in the form of bulk single crystals. The severe lattice distortion arising from multi-cation disorder induces exciton localization and effectively suppresses exciton diffusion. Through the rapid relaxation of localized excitons, the high-entropy Ce:LGCSB single crystals deliver a decay time of 1.23 ns with a 94.6% fast-component contribution and without any noticeable slow component. Through first-principles calculations, spectroscopic characterization, and transient dynamics analysis, we reveal that the ultrafast response originates from accelerated Frenkel exciton (FE) recombination enabled by the high-entropy environment. This work establishes entropy-engineered fluorides as promising ultrafast scintillator platforms and proposes a general strategy for extending sluggish diffusion effects to the excitonic scale, offering new opportunities for improving scintillation timing performance.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3691-9
Near-infrared (NIR) spectroscopy has significantly advanced NIR light sources, yet creating NIR emitters with optimal luminescence properties, high thermal stability, and adjustable emission peaks remains a critical challenge for future smart NIR devices. Here, we introduce a chemical unit cosubstitution strategy by incorporating Ca2+ and Sn4+ ions into the garnet structure. Through this approach, Y3−yCayGa4.95−ySnyO12:0.05Cr3+ (y = 0–1) phosphors were developed by modulating the A&C ligands, resulting in emission centers ranging from 708 to 768 nm. The modified local environment of Cr3+ accounts for the increased light intensity (2.71 times) and broadening observed. Furthermore, this study investigated the impact of varying Cr3+ concentrations (Y2.6Ca0.4Ga4.6−xSn0.4O12:xCr3+) on the production of high-performance phosphors. Compared with Y3Ga4.93O12:0.07Cr3+, the optimized phosphor exhibited exceptional external quantum efficiency (EQE = 34.96%). The luminescence enhancement is attributed to an increase in radiative transitions caused by octahedral Jahn-Teller distortion, whereas the notable thermal stability (91.3% at 423 K) is attributed to the presence of weak electron-phonon coupling (EPC) and oxygen vacancy (OV) defects. Finally, by combining it with a 450 nm blue LED chip, we constructed a near-infrared phosphor-converted LED (NIR pc-LED) device with superior electroluminescence efficiency (18.8% @ 100 mA), increasing the ultralow quenching rate (< 5% intensity loss after 30 days of operation) and demonstrating remarkable performance in plant lighting applications.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225221
The proliferation of lithium-ion batteries (LIBs) in portable electronics and electric vehicles has generated a pressing need for sustainable recycling of spent batteries. Conventional pyrometallurgical and hydrometallurgical routes suffer from low metal recovery efficiencies or require additional precipitants. This study introduces a clean and efficient process for recovering lithium (Li) and cobalt (Co) from spent LiCoO2 cathode materials using a choline chloride-oxalic acid-water (ChCl-OA-H2O) deep eutectic solvent (DES). The method exploits selective precipitation of Co as cobalt oxalate dihydrate (CoC2O4·2H2O) followed by water-content-regulated recovery of Li as lithium oxalate (Li2C2O4) via evaporation crystallization, eliminating the need for external precipitants. Under optimized conditions (molar ratio 1:1:8, solid-liquid ratio 100 g/L, 90 °C, 6.5 h), the leaching efficiency of Li reached 99.4%, with recovery efficiencies of 88.3% for Li and 97.8% for Co. The DES system demonstrated robust cycling stability, maintaining Li and Co recoveries of 78.1% and 92.8% after six regeneration cycles. This work provides a low-pollution, economically viable pathway for LIB recycling, contributing to resource sustainability and offering significant industrial potential.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(25)60616-5
CuZnAl (CZA) is a classic industrial catalyst for methanol synthesis from syngas, but its catalytic performance for CO2 hydrogenation to methanol is suboptimal. The catalytic mechanism of Cu species in CZA remains challenging. This study systematically investigates the valence state changes of active Cu species in CZA catalysts and their influence on catalytic performance by modifying catalysts with varying amounts of electron donor K, thereby identifying the catalytic function of Cu species with different valence states. H2-TPR, XPS, and HR-TEM characterizations reveal that highly dispersed K species supported on CZA catalysts inhibit the reduction of CuO, resulting in a small amount of Cu2O active species being produced under reaction conditions, thus causing a decrease in catalytic activity. Furthermore, XRD and Cu LMM spectra show that the proportion of Cu0 in K-modified CZA catalysts increases with K loading, but a higher proportion of Cu0 species on the surface obviously promotes the reverse water gas shift (RWGS) reaction. According to the results of in situ infrared spectroscopy, CZA catalyst follows the reaction pathway mediated by HCOO* in the hydrogenation of CO2 to methanol.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3766-0
Leuco dye-based thermochromic fibers suffer from poor light fastness, limiting their cyclability. Here, a hydrogen bond dissociation/structural isomerization-based dual ultraviolet (UV)-shielding strategy is proposed to develop enhanced light-resistant thermochromic elastomer fibers (Azo/TCM@Abs/TPU) employing UV absorbers and 4-dodecyloxyazobenzene (C12-Azo) through a coaxial wet-spinning process. The integration of UV absorbers and C12-Azo enhances UV protection, effectively blocking nearly the entire UV spectrum. The light fastness of Azo/TCM@Abs/TPU has been improved to Grades 3–4, enabling a stable thermochromic function to withstand several months of sunlight exposure. Additionally, the absorbed UV light is stored as chemical energy within C12-Azo via trans-to-cis photoisomerization. This stored energy can be released as heat on demand. The coaxial dual-protection concept using photoisomerization offers an efficient method to enhance light resistance in thermochromic fibers.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025022501
The pretreatment of trace emerging contaminants in environmental matrices is challenging due to diverse methods and uncertain applicability. This study compared solid-phase extraction (SPE) and liquid-liquid extraction (LLE) for extracting endocrine-disrupting compounds (EDCs), particularly phthalate esters (PAEs), using laboratory-spiked blank samples. LLE achieved satisfactory recoveries for PAEs at spike levels below 4 μg·L−1, enabling detection of five PAEs including diisodecyl phthalate (DIDP), with improved efficiency via repeated extraction. SPE offered lower detection and quantification limits, higher accuracy and sensitivity, and achieved high recoveries for 12 EDCs and 10 antibiotics at spike levels ≥0.2 μg·L−1, with detection limits as low as 0.1–6.4 ng·L−1. The developed SPE coupled with liquid chromatography-Orbitrap mass spectrometry (LC-Orbitrap MS) method was applied to industrial wastewater samples. Across five industrial sectors (coatings, rubber, pharmaceuticals, inks, and materials technology), five antibiotics and ten EDCs were detected, with total concentrations ranging from 0.03–0.56 μg·L−1 and 0.07–1.91 μg·L−1, respectively. Sector-specific profiles emerged: rubber industry effluent was dominated by dibutyl phthalate (DBP) at 1.07 μg·L−1, while pharmaceutical effluent featured sulfamonomethoxine (SMM) at 0.34 μg·L−1. This systematic evaluation demonstrates that SPE-LC-Orbitrap MS is robust for complex matrices, providing a technical foundation for accurate quantification of emerging contaminants in industrial wastewater.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4086-4
Interventional therapy has emerged as a transformative alternative to open surgery owing to its minimal invasiveness and fast recovery. However, it still presents risks of iatrogenic injury from vascular access, necessitating prompt and reliable vascular closure. Although various closure systems have been developed, they often suffer from complicated deployment procedures, potential for loosening, and risk of device migration. Herein, we develop a smart self-deployable vascular closure device enabled by a semi-interpenetrating network (sIPN) that synergistically integrates a programmable shape memory effect and robust tissue adhesion. The sIPN was designed by interpenetrating flexible, dopamine-functionalized poly(tetrahydrofuran) (PTD) chains into a photo-crosslinkable poly(ε-caprolactone)-based copolymer (PCC) network. The vascular closure model was fabricated via a UV-assisted fused deposition modeling printing strategy, significantly reducing mechanical anisotropy while facilitating structural customization. The resulting device exhibits autonomous self-deployment at 37 °C, along with reliable tissue adhesion under physiological conditions (maximum shear strength of 150.5 kPa). In vitro, the material demonstrates exceptional hemocompatibility (below 3%) and excellently enhanced cell migration (up to 38.9%). In vivo, immunofluorescence analysis reveals a promotion for CD31 (162.18%) and αSMA (154.93%) compared to the control group. These results highlight the PTD/PCC sIPN as a bioadaptive, multifunctional material platform for intelligent vascular closure, offering great promise for clinical translation in interventional therapies.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4146-8
The conventional trial-and-error approach for the research and development (R&D) of high-performance super-hydrophilic coatings presents long-standing challenges, including data scarcity, unclear structure-activity relationships, and lack of design guidelines. In this study, an innovative multi-model framework that synergistically integrates a specialized polymer large language model (PolyLLM) and a polymer machine learning model (PolyML) for intelligent R&D of super-hydrophilic coating systems is designed and demonstrated. During the hydrophilic polymer research phase, the multi-model leverages the domain-specific insights and chemical tool capabilities of the fine-tuned PolyLLM to systematically screen 852 hydrophilic monomers and generate 3880 hypothetical polymer architectures. By utilizing the PolyML, the multi-model enables precise performance predictions and quantitative evaluations of feature importance to facilitate efficient high-throughput screening of optimal structures from the generated polymer database. Experimental validation confirms that the multi-model achieves a mean absolute error (MAE) below 10% across various polymer property prediction tasks compared to experimental data. This approach leads to the rapid discovery of hydrophilic polymers with exceptional anti-swelling and wear-resistance. In developing super-hydrophilic coatings, the multi-model effectively combines PolyLLM's guidance for large-scale synthesis with PolyML's capabilities for precise formulation optimization and curing parameter adjustments. The effectiveness of multi-model is demonstrated by the accelerated development of high-performance anti-fogging coatings for swim goggles and optical films with outstanding water- and wear-resistance that significantly outperform leading commercial products. This multi-model offers a flexible approach for advanced polymer coatings, leading to a seamless connection between laboratory research and industrial development.