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/s40843-026-4347-9
Overcoming the intrinsic loading ceiling of oxide-supported single-atom catalysts remains a long-standing challenge, because oxide frameworks generally provide limited capacity for accommodating high densities of isolated metal species. Here, we report a hollow TiO2 nanoreactor that effectively addresses the long-standing loading limitation of oxide-supported catalysts by coupling high-capacity ion exchange with structural confinement. The multiscale framework is derived from a sodium titanate hollow flower-sphere assembled from ultrathin nanosheets. It enables broad accessibility of exchange sites and facilitates high Cu uptake prior to oxide formation. Subsequently, during Ar-assisted transformation into oxygen-vacancy-rich TiO2, the incorporated Cu species remain highly dispersed within the framework, while vacancy-mediated metal–support interactions further enhance their stability. As a result, controllable Cu speciation is achieved at ultrahigh loadings of 7.4 wt% as spatially isolated single atoms and 12.4 wt% as single-atom/subnanometer-cluster hybrids. The optimized hybrid catalyst delivers a hydrogen evolution rate of 28.8 mmol g−1 h−1 under simulated sunlight, surpassing conventional low-loading Cu/TiO2 systems under comparable conditions. This strategy is readily extendable to other transition metals (Fe, Co, and Ni), establishing a structural design principle for constructing high-density and speciation-controlled metal sites on oxide supports.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4323-8
Sulfur-based batteries are promising for next-generation energy storage due to high theoretical capacity, natural abundance, and low cost of sulfur cathodes. However, practical implementation is impeded by sluggish sulfur redox kinetics, dissolution and migration of intermediate polysulfides, and formation of insulating discharge products. Conventional catalyst design focuses on charge distribution, adsorption energetics, and structural confinement, yet these approaches incompletely describe the complex electronic processes governing sulfur conversion. Electron spin, an intrinsic quantum degree of freedom, offers an additional dimension for modulating catalytic behavior via its influence on electronic structure and orbital interactions at catalytic interfaces. In spin-polarized systems, changes in occupation and splitting of transition-metal d orbitals can regulate d-p hybridization with sulfur species, affecting interfacial charge transfer and energetics of sulfur redox reactions. This review summarizes recent progress in elucidating and manipulating electron spin in sulfur-based battery systems. Fundamental principles connecting spin states with electronic structure and catalytic behavior are outlined, followed by experimental approaches for probing spin-related electronic properties using spectroscopic and magnetic characterization techniques. Emerging strategies for spin regulation are highlighted, including heteroatom doping, defect engineering, coordination environment modulation, chirality-induced spin selectivity, and external magnetic-field control. Remaining challenges in identifying spin effects under realistic electrochemical conditions are addressed, along with opportunities for integrating spin-related descriptors into catalyst design. Establishing quantitative relationships between spin polarization, orbital hybridization, and sulfur reaction pathways may provide new perspectives for high-performance sulfur-based batteries.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4277-1
Two-dimensional (2D) magnetic materials hold promise for next-generation spintronics, yet most exhibit Curie temperatures (Tc) far below room temperature, limiting practical applications. Here, we report the realization of room-temperature ferromagnetism in CuCrSe2 nanosheets via controlled anion removal achieved by post-synthetic vacuum annealing. Raw CuCrSe2 shows a low Tc of ~120 K, whereas annealed CuCrSe2 (A-CuCrSe2) nanosheets exhibit robust ferromagnetic ordering above 300 K. Structural and compositional analyses, including transmission electron microscopy, Raman spectroscopy, and X-ray absorption spectroscopy, confirm that A-CuCrSe2 retains the original layered crystal structure with an estimated Se vacancy concentration of approximately 10%. Magnetic measurements reveal room-temperature ferromagnetism in exfoliated nanosheets, corroborated by magnetic imaging and electric transport measurements. Anomalous Hall effect (AHE) measurements uncover the coexistence of two ferromagnetic phases within the same sample: one with low Tc (~120 K) and another with high Tc (>300 K), indicating spatially heterogeneous magnetic ordering driven by anion removal distribution. Density functional theory (DFT) calculations elucidate the microscopic mechanism, suggesting that Se vacancies modulate the magnetic exchange interactions, enhancing Tc. This work demonstrates that anion modulation is an effective intrinsic strategy to achieve room-temperature ferromagnetism in 2D materials, potentially advancing spintronic applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3882-y
Organic semiconductor crystals with well-defined morphologies are highly desirable for high-performance optoelectronic devices, yet precise control over their growth remains a challenge. Here, a novel donor-acceptor (D-A) molecule, TQDPT, has been successfully developed, featuring a rigid π-conjugated acceptor core composed of thiazoloquinoxaline and naphthalene, coupled with phenylphenothiazine donors. This study presents a temperature-mediated crystallization strategy for precisely controlling the morphology and carrier transport properties of TQDPT single crystals. By systematically investigating the growth kinetics across a controlled temperature range (15–35°C), we reveal a distinct transition from needle-like structures to plate-like crystals, with tunable average widths spanning from around 2.8 to 30.1 μm. This morphological evolution is driven by temperature-dependent molecular diffusion and nucleation kinetics. Significantly, the plate-like crystals grown at 25°C exhibit an order-of-magnitude enhancement in mobility compared to needle-like counterparts, while higher temperatures of 35°C yield broader crystals with improved carrier mobility and device stability. This work highlights the critical role of temperature as a pivotal parameter in the dimensional and electronic optimization of organic crystals, offering an attractive approach to optimize functional materials for advanced optoelectronics.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61108-0
Adipic acid is a key monomer for nylon-6,6 and nylon-6, yet its industrial production via nitric acid oxidation of KA oil suffers from high energy consumption and N2O emissions. This study reports a green catalytic system for one-pot oxidation of cyclohexane to adipic acid using a Cu/Cu2O@C composite catalyst derived from wood chips. During pyrolysis, wood chips serve as both carbon support precursor and in-situ reducing agent, converting Cu2+ into Cu/Cu2O active species. The abundant defects in biomass carbon form strong coordination interactions with copper, regulating the electronic distribution of active sites and enhancing catalytic performance. Under optimized conditions (100 °C, 12 h), the Cu/[email protected] catalyst achieves a cyclohexane conversion of 19.36% and an adipic acid selectivity of 73.28%. Mechanistic studies reveal that the electronic interaction between the carbon support and copper species strengthens adsorption of cyclohexanone, promoting selective formation of adipic acid. The reaction follows a free radical chain mechanism involving hydroxyl and alkyl radicals. This work provides a viable strategy for developing eco-friendly, low-cost, and high-efficiency catalytic materials for industrial adipic acid synthesis.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202508013
The Sanshenggong section of the Yellow River is a critical hydrological monitoring and control point, whose water quality directly affects the ecological safety and sustainable water resource utilization of the middle and lower reaches. This study analyzed water quality monitoring data from 2011 to 2024 using the Mann-Kendall test to identify abrupt change years, combined with single-factor evaluation and a fuzzy comprehensive evaluation method improved by CRITIC-entropy weight combination to systematically assess water quality evolution. The Mann-Kendall test identified 2013 and 2019 as abrupt change points, with non-significant improvement from 2013 to 2015 and significant improvement after 2016. Single-factor evaluation indicated that total phosphorus (TP) was the primary exceeding factor in 2011–2012, and its declining concentration drove the water quality upgrade from Class III to Class II in 2013. The CRITIC-entropy weight combination assigned the highest weight (28.96%) to permanganate index, whose decline was the core driver of water quality improvement. The improved fuzzy evaluation showed that the membership degree of Class III water dropped to zero in 2013, indicating stable improvement, but periodic rebounds in Class II membership suggested potential degradation risks. This study provides scientific evidence for ecological protection and high-quality development of the Yellow River Basin.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605023
Identifying the characteristics of carbon emissions and driving forces of the railway sector is essential for formulating effective measures to develop a green and low-carbon railway industry. This study systematically evaluated the direct and indirect carbon emissions from 2016 to 2021 generated by the railway sector of China, and analyzed the spatiotemporal dynamic changes of the carbon emissions. On this basis, by adopting the LMDI model, the key factors affecting the carbon emissions of railway sector were discerned. Moreover, the variations in the dominant factors of the carbon emissions over time, and the spatial heterogeneities in the dominant factors of the carbon emissions of the 18 railway bureaus, were analyzed. The results show that: 1) During the periods from 2016 to 2021, the carbon emissions of China's railway sector showed an overall upward trend, increasing from 57.7486 million tons to 64.2084 million tons, by 11.2%. The Shanghai Bureau, Beijing Bureau, Zhengzhou Bureau, Chengdu Bureau and Guangzhou Bureau substantially contributed to the increases of railway carbon emissions. In spatial, the carbon emissions of the 18 railway bureaus were characterized by lower emissions in the west and higher emissions in the east, mainly due to the regional differences in the socio-economic development, industrial structure and population density; 2) During 2016 to 2021, the decline in energy consumption intensity reduced the carbon emissions of the railway sector by 18.8654 million tons, while the changes in carbon emission intensity, economic benefits of per unit passenger and freight turnover, and operating capacity led to an increase of a sum of 25.3252 million tons of carbon emissions. When decomposing the contributions of each factor by sub-periods, it can be found that the impacts of these factors on the carbon emissions changed over time. Only the factor of carbon emission intensity showed a promoting effect in all sub-periods, the other three factors, as energy consumption intensity, economic benefits of per unit passenger and freight turnover, and operating capacity, had a conversion between promoting and inhibiting effects. 3) The dominant factors of carbon emissions across the 18 railway bureaus exhibited spatial heterogeneity. For instance, operating capacity was the main promoting factor for bureaus like Taiyuan, Beijing, Lanzhou, Nanning, Hohhot, Urumqi, and Qinghai-Tibet, while energy consumption intensity was the main inhibiting factor. For Shanghai, Kunming, Wuhan, Chengdu, Xi'an, Zhengzhou, Jinan, Shenyang, Nanchang, and Guangzhou, economic benefits per unit turnover was the main promoting factor, with energy consumption intensity as the main inhibiting factor. For Harbin, energy consumption intensity was the main promoting factor, while economic benefits per unit turnover was the main inhibiting factor. 4) The railway sector can reduce carbon emissions by optimizing transport organization to reduce empty car rates, optimizing energy structure, and retrofitting infrastructure for energy efficiency, while implementing differentiated emission reduction strategies tailored to each bureau's characteristics.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202605024
The refined quantification of carbon footprint in engineering construction projects is critical for formulating targeted carbon reduction strategies during the materialization phase. This study integrates material flow analysis (MFA) with the emission factor method to establish a panoramic carbon flow model for engineering projects. Construction activities are categorized into processing and construction, and office and daily operations, clarifying material and carbon flow relationships within the system boundary and with external systems. Empirical analysis was conducted on the Hejiawan Bridge of Section 11 of the Xiyu High-Speed Railway. Results show that the total carbon flow amounts to 27,482,432.11 kg CO2eq, with direct carbon flow (fuel oil, gasoline) accounting for 7.6% and indirect carbon flow (products, transportation, electricity) accounting for 92.4%. From the material flow perspective, the total carbon flow comprises product carbon flow (72.88%), resource and energy carbon flow (25.73%), transportation carbon flow (1.04%), waste carbon flow (0.35%), and service carbon flow (0.01%). In terms of activity scope, construction-related carbon flow accounts for 99.17%, while office and daily operations account for 0.46%. Two indicators, material consumption carbon flow rate and energy consumption carbon flow rate, are proposed for the first time. Comparative analysis of five girder bridges reveals that the Hejiawan Bridge has a material consumption carbon flow rate of 3.91 kg CO2eq/kg, ranking highest among similar bridges, while its energy consumption carbon flow rate is 13.40 kg CO2eq/kg ec, at a medium level. The assessment indicates relatively high material consumption, suggesting potential for carbon reduction through structural and geological optimization.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202511020
With the increasing number of oil pipelines crossing rivers, the potential risks of oil leakage and surface spreading to river ecosystems and water environments are becoming more severe. Scenario-based simulation of oil spill diffusion is a prerequisite for effective interception point placement and leakage risk prevention. Numerous factors influence oil spill diffusion, including environmental conditions, river hydrology, and accessibility of emergency resources. This study integrates these factors and multiple dynamic processes to design eight typical scenarios for oil spill diffusion simulation, considering emergency resource locations, river hydrological regimes, and leakage modes. A case study is conducted on an oil pipeline crossing a river in northwest China. Results indicate that the diffusion distance and affected area are primarily controlled by water conditions and emergency resource accessibility. In emergency management, the efficiency of maintenance and repair resources during high-water months should be prioritized. Mechanistically, external forces such as hydraulic and wind forces have a greater influence on diffusion distance, surpassing internal forces like gravity, viscosity, and surface tension within a short time. For river crossings near emergency resources, internal force effects should be considered in oil spill diffusion simulations. When emergency resource arrival times are long, the diffusion distance based on Fay's theory is relatively small and can be neglected in engineering practice. This study provides a computational basis and methodological reference for risk assessment and emergency response to potential oil spills from pipelines crossing rivers, enhancing the scientific and effective nature of risk prevention and emergency handling.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3903-4
Cross-wavelength near-perfect light capture technology is crucial in various fields, including spectroscopy, energy conversion, and electromagnetic control. Nevertheless, the primary challenge in broadband absorption is effectively coordinating the intrinsic response behavior of various electromagnetic waves across the nanometer-centimeter scale when interacting with matter. By adopting a multi-scale structural design strategy, the carbon-zirconium heterointerface is integrated into the macroscopic periodic unit cell (PUC) to develop an ultra-wideband light capture material. The optical coupling effect, strengthened by electronic transitions, molecular motion, and spatial scattering effects, endows ZC-PUC with exceptional light-capture performance ranging from ultraviolet to microwave frequencies. Specifically, the ZC-PUC absorber possesses a near-perfect absorption rate of 95.7% across the ultraviolet-visible-infrared spectrum (190–2500 nm), and an effective absorption coverage of 99.99% in the microwave and terahertz bands (1997.9 GHz). More importantly, the as-prepared material maintains the morphology structure and physical phase even when exposed to an alkaline or acidic environment for 365 days and simultaneously possesses stable light capture properties. The easily scalable approach retains excellent structural stability and ultra-wideband light trapping capability under extreme conditions, offering a versatile platform for the development of next-generation devices.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3966-0
The development of low platinum-loading catalysts for the economically viable hydrogen evolution reaction (HER) remains challenging. Herein, a precursor dilution strategy is used to fabricate Pt nanoclusters anchored on Ni-embedded porous carbon microspheres. The approach begins with the facile synthesis of Zn/Ni-based coordination polymers (Ni-BTC-Zn) due to the isomorphic substitution of Zn2+ and Ni2+. During pyrolysis, the evaporation of zinc species results in a highly porous carbon structure with well-dispersed nickel nanoparticles. Subsequent solvothermal treatment allows for the uniform deposition of Pt nanoclusters to form the final bimetallic PtNi catalysts (PtNi-BTC-C). Among them, the optimized PtNi-BTC-C10 exhibits exceptional alkaline HER performance, requiring an overpotential of only 41 mV to achieve 10 mA cm−2 and a low Tafel slope of 31.1 mV dec−1. It also demonstrates outstanding durability with a current retention of 90.7% after 70 h, far exceeding Pt/C. Extensive characterization confirms that moderate Zn dilution optimally modulates the Ni particle size and dispersion, leading to maximized active sites and enhanced charge transfer. Combined with DFT calculations, the Pt-Ni-cluster model for PtNi-BTC-C10 possesses an optimized electronic structure with a shifted d-band center, which facilitates water dissociation and optimizes H* desorption with the most favorable energetics (0.262 eV). This work provides a fundamental understanding of precursor dilution engineering and offers a versatile pathway for designing advanced noble-metal-based bimetallic electrocatalysts.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4079-4
Utilization of ultrahigh-nickel LiNi_xCo_yMn_1-x-yO_2 (NCM) (x > 0.97) in Li-ion batteries can distinctively boost energy density through enhanced discharge capacity. However, capacity and thermal stability deteriorate as Ni content approaches the limit. Here, we propose a facile strategy by introducing high-valence tungsten (W) into ultrahigh-nickel polycrystalline LiNi_0.98Co_0.01Mn_0.01O_2 (PCNCM98). W-doped PCNCM98 (W-PCNCM98) exhibits refined, compactly stacked primary particles, whereas PCNCM98 shows equiaxial, non-uniform larger particles. The refined microstructure enhances mechanical strength: average particle hardness of W-PCNCM98 is 104 MPa, 1.5 times higher than PCNCM98 (68 MPa). This improved mechanical property suppresses lattice volume changes and relieves microcrack formation from H2–H3 phase transition. Consequently, cycling performance in pouch-type full cells is significantly enhanced, with capacity retention of 73% after 2000 cycles at 1 C and 25 °C, 54% higher than PCNCM98. Enhanced structural stability and strong electron affinity of W6+ also improve thermal stability: exothermic peak for W-PCNCM98 is postponed to 203 °C with heat generation of 1287 J g−1, versus 190 °C and 1528 J g−1 for PCNCM98. This high-valent doping strategy stabilizes ultrahigh-nickel NCM cathodes, accelerating large-scale EV applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4059-3
Deuterium (D2) is indispensable for isotope tracing, neutron scattering, and fusion reactions, yet its separation from hydrogen (H2) remains challenging due to their nearly identical physicochemical properties. Adsorptive separation exploiting the kinetic quantum sieving (KQS) effect at cryogenic temperatures offers a promising route, but demands precise pore engineering. Here, we report a biomass-derived carbon molecular sieve that permits rapid D2 transport while imposing a significant diffusion barrier for H2, enabling effective separation from D2/H2 mixtures. The molecular sieving micropores are generated by transforming cellulose components into slit-type carbon micropores, with lignin acting as a pore-size modifier. At 77 K, the diffusion rate of D2 is 1.8 times that of H2, leading to a D2 concentration in the recovered gas approximately 10% higher than that achieved with conventional microporous carbons. Aspen adsorption simulations demonstrate that D2 can be enriched to 90.1% from a 1.0% D2/H2 mixture within 12 successive cycles following a two-bed cryogenic pressure swing adsorption process. These findings advance the development of effective adsorbents for kinetic D2/H2 separation, offering a sustainable, low-cost route to deuterium enrichment.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3551-5
Flexible photonic crystal (PC) materials exhibit exceptional optical properties but suffer structural degradation under repeated mechanical stress, leading to photonic band gap impairment and limited sustainability. This study introduces a self-healing thermoplastic polyurethane (STPU) with an inverse-opal PC structure, inspired by natural structural coloration and self-healing mechanisms. Synergistic dynamic covalent disulfide bonds and hydrogen bonds enable reversible mechanical adjustment, yielding a tensile strength of 26.76 MPa and elongation at break of 2000%. The inverse opal structure facilitates reversible color transitions in response to solvents (water, ethanol) and mechanical strain (0–70%) via lattice spacing modulation. Incorporating an interpenetrating network of polyacrylamide hydrogel and carbon nanotubes enhances strain sensitivity and structural color stability. The material demonstrates broad potential in flexible sensors, adaptive optical devices, bioinspired robotic skins, and dynamic anti-counterfeiting encryption, overcoming traditional PC limitations such as high fragility and single functionality. This strategy advances durable intelligent sensing materials with enhanced environmental adaptability and multifunctional integration.