SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4257-y
Hafnia-based ferroelectrics exhibit a distinctive reverse size effect and exceptional scalability, positioning them as critical candidates for CMOS-compatible non-volatile memory and ferroelectric transistors, with substantial promise for advancing hardware acceleration in artificial intelligence and large-data storage technologies. However, their practical deployment is constrained by a longstanding dilemma: the difficulty in simultaneously stabilizing metastable polar phases and ensuring long-term reliability under the high electric fields required for polarization switching. This review reinterprets this challenge through the lens of defect physics and advocates a paradigm shift from stochastic, disorder-mediated defect incorporation toward ordered, multiscale defect engineering. We systematically discuss the collective influence of point defects, line defects, planar defects, and defect-coupled structures on the phase stability, switching kinetics, and failure mechanisms in hafnia-based ferroelectrics. Controlling oxygen-vacancy states, engineering dopants via Fermi-level and chemical pressure, deploying periodic dislocation arrays, designing topological domain walls, functionalizing interfaces, and leveraging flexoelectric strain gradients constitute the core strategic toolkit. Through such ordered defect architectures, scalable performance metrics, including high remanent polarization, low coercive field, fast switching speed, and endurance exceeding 10^12 cycles, become attainable. These approaches establish a set of design principles for next-generation low-power, high-reliability ferroelectric electronics.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4397-4
The development of implantable bioelectronics faces critical trade-offs between mechanical compliance, electrical stability, and tissue adhesion. Here, we introduce ElHyX, a fully printable integrated system that combines ultrahigh stretchability, durable wet-tissue adhesion, strain-insensitive conductivity, and multimodal sensing-therapy feedback. The molecular covalent bonding design fundamentally eliminates the mechanical and electrical trade-offs of traditional soft conductive materials. Ex-vivo organ tests and long-term rodent implantation experiments verify stable working performance, favorable biocompatibility, and unique autonomous intervention capability. Specifically, the elastomer-hydrogel biphasic architecture achieves strain-insensitive conductivity with relative resistance changes below 5% over 1,000 cycles at 200% strain. The hydrogel component exhibits enhanced adhesion on porcine skin due to ionic crosslinks, maintaining performance after swelling. The integrated device enables closed-loop blood glucose management in diabetic rats, sensing glucose and heart rate to trigger vagus nerve stimulation for insulin modulation. Although unresolved problems exist in long-term in-vivo stability, wireless integration, and biodegradability, ElHyX provides a universal modular manufacturing framework for next-generation implantable bioelectronics. Further targeted optimization of material formulation, packaging technology, and closed-loop algorithms will accelerate industrialization and clinical translation of minimally invasive intelligent diagnostic and therapeutic implants.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3828-y
The rapid development of halogen-free solvent-processed organic solar cells (OSCs) has been enabled by side-chain modification on small molecular acceptors, yet the structure-property relationship between inner/outer chain lengths and device performance remains unclear. This study systematically investigates five non-fullerene acceptors (NFAs) with varied side-chain positions and architectures, clarifying the effects of inner versus outer modifications on energy level distribution, film morphology, and carrier dynamics. Notably, longer alkyl chains are not always superior; excessive solubility reduces molecular packing order. The optimized PM6:BTP-TO12 blend achieves a power conversion efficiency (PCE) of 18.2%. Furthermore, ternary OSCs incorporating BTP-TO12 as a guest material reach a remarkable PCE of 19.5%, enhancing the performance of L8-BO-based devices processed with green solvents. This improvement is attributed to the low energy loss and well-controlled aggregation behavior of BTP-TO12 in environmentally friendly toluene. These findings establish a design guideline for side-chain engineering in green-solvent-processed OSCs, achieving state-of-the-art performance and advancing scalable, eco-compatible photovoltaic technologies.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604018
To address the issues of high air volume and unorganized emissions of waste gas in semi-steel vulcanization production lines, a combined approach of experimental testing and numerical simulation was employed to study the diffusion characteristics of VOCs-containing waste gas and the air volume of the collection system. The structure of the semi-enclosed hood was optimized, and pipe diameters were adjusted to achieve negative pressure balance, enabling efficient waste gas collection. Results showed that toluene concentration distributions from numerical simulation were largely consistent with experimental measurements, with a maximum average error of -3.9%. Existing hood inlet wind speeds ranged from 0.04 to 0.2 m/s, indicating uneven distribution. Under calm wind conditions, toluene diffusion in enclosed and semi-enclosed hoods was similar, with concentrations of 248 mg/m³ and 115 mg/m³, respectively, and deposition observed in trenches. For a single vulcanizer, at a design air volume of 2700 m³/h, the enclosed hood achieved a toluene concentration of 80 mg/m³ versus 63 mg/m³ for the semi-enclosed hood, demonstrating superior capture of hot fumes. Optimizing the semi-enclosed hood with soft curtains and a height of 1200 mm, at a total design air volume of 1.0×10⁵ m³/h, yielded an average hood inlet velocity of 0.35 m/s but still uneven distribution. Adding 900 mm gradual reducers and adjusting branch pipe diameters resulted in total air volume deviations of -0.44% and 0.38% for branches I and II, respectively, with individual hood deviations below 10%. This achieved negative pressure balance, effective collection, and improved workshop hygiene.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225188
Driven by the urgent demand for green and low-carbon technologies, the development of high-performance and cost-effective rare-earth free permanent magnets has emerged as a key research focus for sustainable energy and advanced electronic applications. Among various candidates, M-type strontium ferrites have attracted considerable attention due to their excellent thermal stability, high magnetocrystalline anisotropy, and abundant raw material availability. In this study, Sr0.41La0.36Ca0.23Fe11.8Co0.2O19 was selected as the base system, and a series of samples were synthesized via a solid-state reaction combined with high-energy ball milling. The synergistic effects of varying CeO2/La2O3 mass ratios (0:10 to 10:0) and pre-sintering temperatures (1150-1200°C) on the microstructure and magnetic properties were systematically investigated. Microstructural analyses revealed that moderate Ce substitution effectively induced controlled lattice distortion and promoted densification, which inhibited abnormal grain growth and refined the microstructure. Such structural modulation not only enhanced domain wall pinning but also improved magnetocrystalline anisotropy, leading to a remarkable increase in coercivity. Magnetic measurements confirmed that the composition with a CeO2/La2O3 mass ratio of 2:8 and pre-sintered at 1180°C achieved the most balanced magnetic performance, exhibiting enhanced coercivity, sufficient remanence, and stable saturation magnetization. This work provides new insights into the cooperative effects between rare-earth doping ratios and thermal processing parameters, clarifying how lattice defects, grain boundary characteristics, and microstructural evolution collectively govern the magnetic properties of M-type ferrites. The findings establish a practical strategy for tailoring the microstructure-property relationship in rare-earth free permanent magnets, opening an optimized processing window for scalable fabrication of environmentally friendly, high-performance ferrite materials.
The Chinese Journal of Process Engineering•2026•DOI: 10.12034/j.issn.1009-606X.225184
Thermal power units have long dominated China's energy structure due to the low cost of coal and their role in ensuring grid stability. However, under the dual pressures of climate change and national carbon peaking/neutrality goals, the environmental impact of their 'three wastes' has become critical, necessitating energy-saving retrofits. This review systematically examines mainstream energy-saving technologies for thermal power units, including boiler combustion optimization, heating surface cleaning, turbine flow path upgrades, waste heat recovery and cascade utilization, and cold-end system optimization. Using coal consumption rate as the core economic index, the study integrates case studies and operational data from typical domestic and international units to evaluate the latest progress, practical effects, advantages, and limitations of each technology. Results indicate that these technologies significantly improve energy efficiency and reduce pollution. For instance, boiler combustion optimization based on support vector machines and neural networks enhances thermal efficiency and reduces NOx emissions. Turbine flow path modifications, from full three-dimensional CFD optimization to advanced blades and combined steam seals, yield notable gains in cylinder efficiency and heat rate reduction. Low-temperature economizers reduce coal consumption and auxiliary power/water use in dust removal and desulfurization systems. Heat pump applications include absorption, compression, and hybrid types. In cold-end optimization, data-driven predictive maintenance and real-time performance tuning of condensers achieve nearly 50% energy savings in circulating water pumps and an average coal consumption reduction of 2-3 g/(kW·h). Despite these advances, gaps remain in multi-objective optimization robustness, intelligent diagnosis, and advanced materials. Future research should focus on deep reinforcement learning for adaptive control, sensor networks for real-time diagnostics and predictive maintenance, and high-temperature corrosion-resistant materials for heat exchangers, while balancing initial investment and maintenance costs.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202508047
Selective recovery of aluminum compounds from fly ash is a key route for its high-value utilization. This study developed a multi-stage activation process for extracting Al(OH)3 from fly ash, comprising mechanical activation, calcination activation, chemical separation, and carbonation precipitation. Fly ash was mixed with carbide slag and CaF2, then calcined; the resulting clinker was leached with Na2CO3 solution to extract Al. The CaO generated from high-temperature calcination of carbide slag facilitated the separation of Si and Al. After solid-liquid separation, CO2 was introduced into the Al-rich leachate to precipitate Al(OH)3. The process promoted the formation of Ca12Al14O32F2 and inert Ca2SiO4, achieving efficient Si-Al separation during calcination. Under optimal conditions (mechanical activation for 60 min, 4% CaF2, calcination at 1000°C for 2 h, leaching with 40 g/L Na2CO3), the Al extraction rate reached 91.8%, and the product purity was 98.9%. The alumina extraction residue exhibited porous and highly reactive characteristics, suitable for producing flame-retardant materials or high-value silicon-based products (e.g., white carbon black, molecular sieve adsorbents). The process offers a promising industrial route for fly ash valorization, with potential integration with cement production lines for synergistic CO2 capture and utilization.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025011303
Polybrominated diphenyl ethers (PBDEs) are persistent organic pollutants with environmental persistence, bioaccumulation, and toxicity, posing significant threats to marine ecosystems and human health. This study developed an analytical method using anhydrous sodium sulfate-alumina composite column chromatography coupled with gas chromatography-orbitrap mass spectrometry to quantify mono- to deca-BDEs in coastal seawater of Dalian, China. The total PBDE concentrations (∑PBDEs) ranged from not detected to 511.96 pg·L−1, with a mean of 163.96 pg·L−1. BDE-209 was the dominant congener, contributing 24.1% to ∑PBDEs. Spatial distribution exhibited distinct heterogeneity, with higher abundances of highly brominated PBDEs near sewage discharge outlets. Partial least squares discriminant analysis indicated that anthropogenic activities, particularly sewage discharge, were the primary sources. Ecological risk assessment revealed extremely low risk, with the highest risk quotient of 0.013 for BDE-17. These findings provide baseline data for PBDE contamination in Dalian coastal waters and underscore the need for continued monitoring of emerging contaminants.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3784-9
Symmetry-breaking charge separation (SB-CS) is a fundamental process in natural photosynthesis and holds promise for organic semiconductor applications. However, the influence of SB-CS on excited-state chirality has remained unexplored. Here, we employ femtosecond time-resolved circularly polarized luminescence (TRCPL) and transient absorption (TA) spectroscopy to investigate the excited-state chirality dynamics of a chiral perylenediimide bichromophore (Cy-PDI 2). Our results reveal that the locally excited (LE) state decays to a symmetry-breaking charge-separated (SB-CS) state within 88 ps in tetrahydrofuran (THF), while this process is strongly quenched in toluene (TOL). Time-dependent emission dissymmetry factor g_lum(t) extracted from TRCPL kinetics demonstrates a one-order-of-magnitude enhancement of circularly polarized luminescence after SB-CS, directly reflecting the asymmetry of electron cloud distribution on an ultrafast timescale. This work provides the first direct observation of excited-state chirality evolution during SB-CS and proposes a mechanistic framework. Our findings offer deeper insight into the origin of excited-state chirality, which is crucial for understanding efficient energy transfer, enantiospecific recognition, and asymmetric catalysis in biological and chemical systems.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606002
Industrial volatile organic compounds (VOCs) emissions are a major contributor to regional air pollution, and the rubber paste preparation process is a significant source. This study developed an intelligent monitoring system for whole-process VOCs management in a rubber paste preparation workshop, integrating software engineering and Internet of Things (IoT) technologies. The system architecture combines a hybrid database (MySQL relational and InfluxDB time-series), MQTT-based low-power wide-area communication, role-based access control, and containerized microservices. Field deployment at a large rubber enterprise enabled real-time monitoring of adsorption/desorption centrifugal fans and data fusion analysis. Under typical operating conditions, the extraction and ventilation systems achieved volume flow rates of 40,000 m³/h and 30,000 m³/h, respectively, maintaining a continuous micro-negative pressure environment that effectively suppressed fugitive emissions. The purification process, comprising zeolite rotor adsorption and regenerative thermal catalytic oxidation, reduced non-methane hydrocarbon (NMHC) concentrations to below 10 mg/m³, meeting the GB 27632—2011 emission standard. The system's multi-level permission management module precisely allocated operational responsibilities across production, environmental, and management roles, reducing response time to abnormal conditions. An online evaluation model for purification efficiency was constructed based on the actual process. The system demonstrates potential for extension to other high-VOCs industries such as coatings and printing. This research provides theoretical and practical references for applying computer technology to VOCs reduction and whole-process management in typical industries.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3874-1
The rapid expansion of artificial intelligence (AI) model sizes to trillions of parameters has intensified the demand for computational paradigms that overcome the von Neumann bottleneck. Emerging memory technologies, while advancing, fall short of meeting the massive requirements of large-scale models. Ferroelectric materials, with their continuous tunability of domain patterns, offer a promising route to emulate synaptic weights in biological learning. This review systematically examines four fundamental ferroelectric-based device architectures: ferroelectric capacitors, ferroelectric field-effect transistors (FeFETs), ferroelectric tunnel junctions (FTJs), and ferroelectric domain wall memories. We analyze their latest progress, application domains, and inherent advantages, while critically assessing the challenges impeding their commercialization. Key issues include scalability, endurance, retention, and integration with CMOS technology. We also highlight optimization strategies for material and device performance, array-level design, and neuromorphic computing architectures. Future research directions are proposed, emphasizing the expansion of novel applications and the realization of energy-efficient, high-density in-memory computing systems. This review provides a comprehensive framework for researchers and engineers aiming to harness ferroelectric devices for next-generation computing.
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/s40843-025-4107-x
Aqueous fiber zinc-iodine batteries (FZIBs) with four-electron redox exhibit inherent safety and high energy density for wearable electronics. Nevertheless, their practical implementations are hindered by unsatisfactory cycling stability and low realistic energy density, mainly caused by severe H2O-induced nucleophilic attack toward iodine species and poor zinc anode reversibility. Here, we report a quaternary ammonium-mediated coordination strategy to simultaneously address the irreversible cathode/anode redox behavior and thus promote the electrochemical performance of four-electron FZIBs. The cationic choline ion (Ch+) induces complexation with ICl2− via electrostatic interaction, homogenizing the electron cloud density and suppressing irreversible hydrolysis of I+ species, enabling a reversible near-theoretical high capacity of 418.3 mAh g−1. Meanwhile, preferentially adsorbed Ch+ on the zinc anode surface creates positively charged shielding layers, mitigating the tip effect caused by localized electric field and achieving robust zinc stripping/plating. The enhanced cathode/anode reversibility and improved interfacial stability enable stable FZIBs operation for over 20,000 cycles at 20.0 A g−1. Moreover, successful integration of FZIBs into electronic textiles with glucose and cardiac rhythm sensors demonstrates great potential for next-generation wearable electronics.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3907-0
Passive radiative cooling dissipates heat through the atmospheric transparency window (8–13 μm) into cold outer space, offering energy-free building cooling. However, its performance degrades substantially in humid environments; for instance, in Singapore, where average relative humidity is ~80%, achievable cooling power can be as low as ~20 W/m², far below the theoretical maximum of ~150 W/m² under dry conditions. Restricted sky view factor on building facades further curtails efficiency. Evaporative cooling, leveraging water's high latent heat of vaporization (~2256 J/g), provides an omnidirectional heat dissipation pathway but porous materials like hydrogels suffer from swelling, poor adhesion, and structural degradation. Here, we report a cement-based integrated cooling paint (CCP) that synergistically combines radiative and evaporative cooling. The paint utilizes a calcium silicate hydrate (C-S-H) porous network matrix with barium sulfate nanoparticles, polyvinyl alcohol (PVA), and lithium chloride (LiCl). The optimized formulation (CCP-30) achieves high solar reflectance of ~93% in the dry state and maintains ~89% reflectance when wetted. Its high emissivity (~95%) within the atmospheric window ensures efficient radiative heat dissipation. PVA and LiCl inhibit plastic shrinkage and promote continued hydration, yielding a denser, robust microstructure. The interconnected porous structure and hygroscopic components enable passive water capture from rainfall and ambient moisture, driving sustained evaporative cooling. Field tests in Singapore showed a ~5°C lower surface temperature on CCP-coated facades compared to commercial radiative cooling paint, and an ~8°C reduction on a proximate black absorber, indicating mitigation of local heat island effects. Building energy simulations indicated 30–40% more savings in air conditioning electricity consumption. The paint is prepared via a simple one-pot method compatible with standard production, indicating excellent commercialization potential.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202512031
The overuse of antibiotics has led to residual amoxicillin (AMX) in aquatic environments, promoting the spread of antibiotic resistance genes (ARGs) and threatening ecological safety. In this study, magnetic iron-modified biochar (Fe-BC) was prepared from agricultural waste sugarcane bagasse via FeCl3·6H2O impregnation and oxygen-limited pyrolysis. The adsorption performance and mechanism of Fe-BC for AMX were systematically investigated. Under conditions of 25 °C, pH 6, and initial AMX concentration of 50 mg·L−1, the adsorption capacity reached 32.61 mg·g−1. Characterization of Fe-BC before and after adsorption, combined with adsorption kinetics, isotherms, and thermodynamic analyses, revealed that adsorption primarily relied on oxygen-containing functional groups. The mechanisms included pore filling, electrostatic interaction, hydrogen bonding, complexation, and π–π interaction. After six thermal regeneration cycles, the removal efficiency of AMX remained above 76%. The specific surface area of Fe-BC increased from 279.20 m2·g−1 to 481.42 m2·g−1, an enhancement of approximately 72.4%. These results provide a technical reference for the resource utilization of agricultural waste and cost-effective treatment of antibiotic-containing wastewater in rural decentralized areas.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025041502
Microplastics (MPs), defined as plastic particles smaller than 5 mm, are ubiquitous environmental contaminants with documented presence in urban, rural, marine, remote, and polar atmospheres. The atmosphere serves as a primary medium for their long-range transport, raising concerns regarding climate interactions and human health. This review synthesizes recent advances in atmospheric MPs research, encompassing sampling strategies, pretreatment protocols, analytical techniques, occurrence characteristics, and ecological ramifications. Passive and active sampling methods are delineated, with active samplers enabling quantitative flux measurements. Pretreatment typically involves sequential steps of sieving, density separation, digestion, staining, and filtration to isolate MPs from complex matrices. Identification relies on visual inspection, micro-Fourier transform infrared spectroscopy (μ-FTIR), micro-Raman spectroscopy, laser direct infrared imaging (LDIR), and mass spectrometry. Reported atmospheric MPs predominantly exhibit dimensions below 700 μm, with fibrous morphologies being most prevalent. Color distribution is dominated by black, followed by white and transparent particles. Over 20 polymer types have been identified, with textiles, tire wear, and dust identified as principal sources. Atmospheric MPs can influence solar radiation balance, cloud formation processes, and pose risks to flora, fauna, and human health. However, research remains nascent; standardization of sampling and analytical protocols, along with comprehensive toxicological assessments, are critical knowledge gaps requiring urgent attention.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025041405
Microplastics, as a class of emerging environmental contaminants, pose global concerns due to their potential ecological and human health impacts. Accurate identification and quantification of microplastics in environmental matrices are essential for assessing their environmental fate and ecological risks. Pyrolysis-based analytical methods, which decompose macromolecules into smaller fragments followed by gas chromatographic separation and mass spectrometric detection, offer high sensitivity and accuracy, making them significant for microplastic analysis. Despite these advantages, their application remains nascent, with limited comprehensive understanding of their applicability across diverse environmental media. This review systematically compares three pyrolysis-based techniques—pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS), thermogravimetry-differential scanning calorimetry (TGA-DSC), and thermal extraction-desorption gas chromatography-mass spectrometry (TED-GC-MS)—for microplastic detection in various matrices. The effectiveness of each method is evaluated in terms of sensitivity, selectivity, and matrix compatibility. Critical challenges, including lack of standardized protocols, complex sample pretreatment requirements, and limitations in quantifying mixtures, are identified. Future research directions emphasize the need for standardization, optimization of pretreatment for complex matrices, and integration with complementary techniques such as FTIR and Raman spectroscopy to enhance comprehensive microplastic characterization. This review provides a critical framework for selecting appropriate pyrolysis-based methods and highlights areas requiring further methodological development.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202608006
Organic waste is a potential phosphorus reservoir, and understanding the dynamics of available phosphorus (AP) during its resource utilization is critical for efficient phosphorus recovery. Composting, a key route for organic waste valorization, involves complex transformations of phosphorus alongside organic matter degradation and humification. However, the long duration and high cost of composting experiments, coupled with multifactorial influences, hinder efficient elucidation of AP dynamics via conventional methods. This study compiled data from 33 publications, constructing a dataset of 647 samples. Data preprocessing included iterative imputation, one-hot encoding, and standardization. A stacking ensemble learning model was developed to predict AP generation during composting. The optimal ensemble comprised XGBoost and SVR as base learners and ElasticNet as the meta-learner, achieving R² values of 0.954 and 0.928 on training and test sets, respectively, with low overall error. SHAP analysis revealed that key factors influencing AP content, in descending order of importance, were feedstock type, bulking agent type, turning interval, pH, electrical conductivity (EC), and C/N ratio. Notably, livestock manure as feedstock and straw-based bulking agents contributed positively to AP predictions. Partial dependence plots indicated that lower pH and C/N ratios generally favored AP accumulation throughout composting. During the initial stage, higher moisture content and lower EC enhanced AP; in the thermophilic phase, higher temperatures corresponded to higher AP; and during cooling and maturation, maintaining moisture below 48% and C/N below 14, while extending composting beyond 43 days, promoted AP accumulation. This study demonstrates accurate AP prediction via stacking ensemble learning and identifies critical factors, offering support for optimizing phosphorus management in composting engineering.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4045-x
The release of radioactive iodine from nuclear accidents and nuclear medicine poses significant environmental and health risks. Here, we report the design and synthesis of two cross-linked macrocycle-based porous organic polymers (P1 and P2) with different functionalities for efficient and rapid capture of radioactive iodine. P1 achieves complete iodine adsorption within 5 minutes, with an exceptional adsorption rate constant (k_obs) of 18.92 g g−1 min−1 (8.24 g g−1 min−1 for P2), representing a record-high iodine removal rate among state-of-the-art porous organic polymers. P1 demonstrates superior iodine adsorption efficacy in dynamic flow-through experiments, achieving a remarkable efficiency of 96.4% for radioactive 131I removal, greatly minimizing radiation contamination. Experimental and modelling techniques reveal that the superior iodine adsorption performance originates from electron-rich functional groups, hydrophobic surface, and porous structure of P1, thus exhibiting remarkable iodine capture capabilities through charge transfer, halogen bonding, and hydrophobic effects. The adsorbents show excellent stability and performance under complex and harsh conditions (pH 2–10) and can be easily regenerated, confirming their excellent reusability and potential for practical applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4033-1
Photodetectors are critical components in modern optoelectronic systems, underpinning applications in optical communication, low-altitude economy, environmental monitoring, and national defense. Layered two-dimensional (2D) materials such as MoS2, WS2, black phosphorus (BP), and ReS2 have attracted extensive attention due to their remarkable electronic and optical properties, including facile mechanical exfoliation and tunable characteristics via thickness engineering. The absence of dangling bonds enables the construction of van der Waals (vdW) heterostructures free from lattice-matching constraints, promoting efficient charge transport, enhanced light absorption, and suppressed dark current. Among layered materials, semimetals such as graphene, PdTe2, MoTe2, and TaIrTe4 exhibit narrow or zero bandgaps, enabling ultrabroadband spectral responses from ultraviolet (UV) to terahertz (THz). ZrTe3, a layered gapless semimetal, demonstrates pronounced carrier transport features, including robust excitons and ultrafast carrier relaxation times, making it an ideal candidate for photodetection. However, pure ZrTe3-based photodetectors suffer from substantial dark current due to the absence of an energy bandgap, degrading signal-to-noise ratio and specific detectivity (D*). This work reports a high-performance broadband photodetector based on a ZrTe3/CuInP2Se6 heterostructure. By exploiting an asymmetric contact configuration that introduces a Schottky barrier, the device effectively suppresses dark current while enhancing photoresponse. The photodetector exhibits broad spectral sensitivity from UV to near-infrared (355–1177 nm), microsecond-level response speed, and high responsivity and specific detectivity. Beyond conventional photodetection, an optoelectronic information encryption-decryption application is demonstrated, where modulated light and bias voltage serve as dual input channels to encode and decode ASCII signals. This study resolves the challenge of high dark current in semimetal-based photodetectors and introduces a multifunctional platform for secure optoelectronic communication, highlighting the potential of ZrTe3 for next-generation photonic and quantum information technologies.