SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4339-7
Neuromorphic computing demands energy-efficient synaptic devices that emulate biological plasticity. Optoelectronic memristors based on colloidal quantum dots (QDs) offer tunable bandgaps and solution processability, yet suffer from defect-mediated nonradiative recombination and instability. Here, we report ZnS-passivated CdZnSe core/shell QDs as the active layer in memristive devices, achieving enhanced synaptic emulation and information encryption. Time-resolved photoluminescence (TRPL) decay curves were fitted with a tri-exponential function, revealing that ZnS passivation suppresses defect-related trap states, prolonging the average carrier lifetime from 12.3 ns (CdZnSe) to 28.7 ns (CdZnSe/ZnS). The intensity proportion of the fast decay component (τ1 ≈ 1.2 ns) decreased from 45% to 18%, indicating reduced surface trapping. Devices incorporating CdZnSe/ZnS QDs exhibit stable bipolar resistive switching with an ON/OFF ratio exceeding 10^3, endurance of >10^3 cycles, and retention of >10^4 s. Under 365 nm UV illumination, the devices show light-tunable synaptic plasticity, including paired-pulse facilitation (PPF) with a facilitation index of 180% at a 50 ms interval, and transition from short-term to long-term memory. The memristors successfully emulate essential synaptic functions and are employed in a simple encryption scheme, demonstrating the potential of defect-passivated QDs for secure neuromorphic hardware.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3831-0
Ammonia decomposition is a key process for generating COx-free hydrogen, yet conventional cobalt catalysts require high temperatures (>550 °C) to overcome the strong Co–N binding that limits N2 desorption. Here we report a novel Co catalyst supported on a Ce and N co-modified perovskite (Co@La_xCe_{1-x}AlO_{3-y}N_z) that achieves 92.6% ammonia conversion with a hydrogen production rate of 9.7 mmol g−1 min−1 at 425 °C and GHSV = 9000 mL h−1 g_cat−1, representing a 125 °C reduction in operating temperature relative to conventional Co-based catalysts. Mechanistic studies using isotopic labeling and in-situ DRIFTS reveal that synergistic Ce and N modification creates a unique LA-L(A+B)-LB active site configuration, which lowers the Schottky barrier at the metal-support interface and promotes facile hydrogen spillover. The reaction proceeds via an interfacial Mars-van Krevelen mechanism, contrasting with the traditional Langmuir-Hinshelwood pathway on conventional Co catalysts. This work provides new insights for designing low-temperature Co-based ammonia decomposition catalysts.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60640-8
Ethylene (C2H4) in vehicle exhaust is a highly reactive volatile organic compound (VOC) whose photo-oxidation with NOx contributes to the formation of O3 and secondary organic aerosols (SOA), a key precursor of PM2.5. This study designs a novel MgO-supported Ag-Cu bimetallic catalyst and investigates its performance using density functional theory (DFT). The effects of Ag and Cu loading on geometric structure, stability, and reactant adsorption are analyzed, and the catalytic oxidation pathways of C2H4 over AgCu-MgO are elucidated. Results indicate that loading Ag significantly enhances C2H4 adsorption, with a maximum adsorption energy of -1.46 eV, while O2 adsorption remains weak (-0.45 eV). Cu-MgO shows moderate C2H4 adsorption (-0.87 eV at bridge site) but higher O2 adsorption (-0.76 eV). Among 17 AgCu-MgO dual-atom catalyst (DAC) configurations, those with Ag and Cu co-adsorbed at Mg sites are thermodynamically more stable (binding energies below -10 eV). Configurations with Ag and Cu in close proximity enhance co-adsorption of C2H4 and O2. C2H4 oxidation preferentially proceeds via C=C bond cleavage to form *CH3 and CO2. For three representative configurations (1, 3, 6), free energy barriers for rate-limiting steps in the *HCO and CH2O pathway are consistently higher than those for *CH3 and CO2 pathway. Configuration 6 exhibits the lowest energy barrier (0.32 eV) for its rate-limiting step, indicating the highest catalytic performance. This study provides atomic-scale insights for rational design of efficient catalysts targeting olefinic pollutants in automotive emissions.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025110501
Ultrashort-chain perfluoroalkyl substances (PFAS) exhibit high hydrophilicity, mobility, and root concentration factors, facilitating their transport and accumulation in soil-crop systems and posing phytotoxicity risks. Post-drought rehydration (PDR) is a critical water management strategy to mitigate drought effects in paddy fields. This study investigated the regulation and mechanisms of PDR on ultrashort-chain PFAS transport in paddy soils through sterilized and non-sterilized experiments, employing three-dimensional fluorescence spectroscopy, Fourier-transform infrared spectroscopy, X-ray photoelectron spectroscopy, X-ray fluorescence spectroscopy, and amplicon sequencing. Results showed that PDR increased the bioavailable fraction of ultrashort-chain PFAS in soil solution while delaying their release into overlying water. Sterilization experiments confirmed that PDR-induced compensatory migration was primarily driven by microbial activity. Geochemical analyses revealed that PDR reduced hydrophilic functional groups (e.g., hydroxyl) on soil particle surfaces and increased cation bridging sites. Microbiological sequencing indicated that PDR activated secondary metabolic pathways, enhancing microbial extracellular polymeric substances (EPS) production, which provided binding sites for ultrashort-chain PFAS. Consequently, EPS competed with soil particles for cation bridging, altering PFAS interfacial partitioning and increasing bioavailable and cation-complexed fractions in soil solution, thereby exacerbating rhizosphere exposure risk to rice. This study elucidates the coupled geochemical and microbiological mechanisms governing ultrashort-chain PFAS mobility under PDR, informing risk assessment and management in paddy agroecosystems.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025021903
Volatile organic compounds (VOCs) are key precursors of secondary organic aerosols (SOA), and their oxidation reactions are regulated by reactive intermediates. A deep understanding of the reaction mechanisms of VOCs-derived reactive intermediates is crucial for evaluating SOA formation. Atmospheric peroxyalkyl radicals (RO2·) are important intermediates produced during VOCs oxidation and can generate highly oxygenated organic molecules (HOMs) through a unique atmospheric autoxidation mechanism, contributing significantly to SOA formation. This article reviews recent advances in computational studies on the autoxidation mechanisms of RO2· with different functional groups, focusing on the autoxidation reactions of RO2· derived from alkanes, alkenes, carbonyl compounds, aromatic hydrocarbons, heteroatom-containing compounds, and other substances. The review highlights the commonalities and differences in autoxidation mechanisms across these functional groups, emphasizing the role of intramolecular hydrogen shifts and subsequent O2 addition steps. Furthermore, we emphasize that future research should focus on the autoxidation of second-generation RO2· and autoxidation mechanisms driven by different intramolecular reactions. Quantum chemical calculations, often combined with kinetic modeling, provide molecular-level insights into reaction pathways and rate constants, which are essential for predicting HOM formation and SOA yields. This review aims to guide further theoretical investigations and support the development of more accurate atmospheric chemistry models.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202510056
To support the construction of an ecologically clean small watershed in Harbin, a pilot-scale trial of sediment elutriation was conducted in the Hejia Ditch to evaluate its effectiveness in controlling endogenous pollution and to elucidate the underlying mechanisms. After treatment, sediment organic matter, total nitrogen (TN), and total phosphorus (TP) decreased by 5.11%, 10.19%, and 8.71%, respectively. Water transparency, dissolved oxygen (DO), and oxidation-reduction potential (ORP) increased by 102.46%, 11.07%, and 15.66%, while chemical oxygen demand (COD) and ammonia nitrogen (NH4+-N) removal rates reached 35.67% and 22.65%. The technology effectively removed surface suspended sediment, leaving a stable layer of coarse inorganic particles that formed a clear mud-water interface. Post-treatment, clay content decreased by 8.87%, sand content increased by 12.37%, and median (D50) and 90th percentile (D90) particle sizes increased by 32.39% and 159.97%, respectively. Mechanical disturbance and particle size redistribution enhanced oxygen transfer at the interface, increasing the abundance of facultative anaerobic phyla such as Chloroflexi and Spirochaetes, thereby suppressing the generation of odorous gases (H2S, NH3) and preventing sediment resuspension. Increased microbial diversity and richness improved ecosystem stability and self-purification capacity. These results demonstrate that sediment elutriation is an effective method for controlling endogenous pollution in Hejia Ditch, providing a scientific basis for ecological restoration and long-term management.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3981-7
Solution-processable quasi-2D perovskites are promising laser gain media due to their high exciton binding energy and improved stability relative to 3D counterparts. However, conventional synthesis yields mixed n-value phases, introducing interfacial defects and energetic disorder that impede charge injection into desired emission centers. Here, we report the first demonstration of stimulated emission from a phase-pure quasi-2D perovskite (n=8) achieved via a solvent-sieving method for selective phase removal. This dynamic purification yields near-unity phase purity (99.85%) with no detectable low-n phases, as confirmed by X-ray diffraction and ultraviolet-visible spectroscopy. The phase-pure film exhibits a narrower and more intense (001) diffraction peak (FWHM 0.16 nm, intensity 16,129) compared to pristine films (FWHM 0.22 nm, intensity 3,304), indicating enhanced crystallinity and increased grain size. Time-resolved photoluminescence reveals a prolonged carrier lifetime of 6.98 ns, suggesting reduced trap density. Atomic force microscopy shows a nearly pinhole-free surface with root mean square roughness of 1.18 nm. Consequently, the amplified spontaneous emission threshold is reduced to 13.82 μJ cm−2, a 12.5% improvement over conventional mixed-phase films (15.8 μJ cm−2). This work provides an efficient route to pure-phase quasi-2D perovskites for low-threshold lasers.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3984-5
Rechargeable aluminum batteries (RABs) are promising for large-scale energy storage due to high theoretical capacity, inherent safety, and abundant aluminum reserves. However, conventional AlCl3-based ionic liquid electrolytes suffer from high cost, uncontrolled dendrite growth, and severe anode corrosion. Here, a molecular-level ligand engineering strategy is proposed, employing nitrogen-containing cyclic amides with tunable N–H functionalities to modulate the coordination environment of deep eutectic electrolytes (DEEs). Combined experimental and theoretical investigations reveal that the α-pyrrolidone-based DEE (PDEE) possesses a wider electrochemical window, higher ionic conductivity, and lower polarization. Precise N–H regulation optimizes cationic ligand and chloroaluminate anion interactions, accelerating ion transport to facilitate uniform Al deposition without dendrites. The amine functionalities enable in situ construction of a uniform inorganic-organic bilayer solid electrolyte interphase, mitigating anode corrosion and enhancing long-term interfacial stability. As a result, Al//Al symmetric batteries with PDEE achieve stable cycling for over 2000 hours, while Al-graphite full batteries demonstrate negligible capacity decay after 6000 cycles. This study establishes that ligand molecular engineering offers an effective strategy for optimizing DEEs, enabling durable and high-performance RABs.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202510017
Municipal solid waste (MSW) is a significant source of urban carbon emissions. This study integrates life cycle assessment (LCA) and system dynamics (SD) to construct a multi-subsystem LCA-SD model covering economy, population, waste generation, transportation, treatment, and resource utilization, using Fuzhou City as a case study. The model was validated against historical data and uncertainty analysis. Carbon emissions from MSW transportation, treatment, and resource utilization during 2013–2023 were calculated, and emission trends under seven reduction scenarios for 2024–2035 were predicted. Results show that Fuzhou's MSW treatment evolved through three stages: 'landfill+incineration', 'treatment structure adjustment', and 'incineration+kitchen waste resource utilization', corresponding to emission growth, fluctuation, and reduction periods. In 2023, total net carbon emissions were 1.07×10^6 t CO2-eq, with incineration being the largest contributor (9.93×10^5 t), followed by transportation (2.93×10^4 t), leachate treatment (2.14×10^4 t), and kitchen waste treatment (7.90×10^3 t, negative emission). Scenario analysis indicates that without further measures, carbon neutrality cannot be achieved. Synergistic enhancement of kitchen waste separation and incineration power generation efficiency can significantly boost reduction, potentially achieving carbon neutrality by 2032. The study provides a dynamic accounting and scenario assessment framework for low-carbon transition of urban solid waste systems.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60665-2
Levulinic acid (LA) is a promising platform product with wide industrial applications. Efficient conversion of cellulose into LA has become a research hotspot, yet traditional experimental optimization is time-consuming and inefficient. This study integrates multidimensional data—reaction conditions, solvent properties, and physicochemical characteristics of metal salts—to construct a systematic dataset. Six machine learning models (decision tree, gradient boosting regression, K-nearest neighbors, multilayer perceptron, random forest, and support vector machine) were developed to predict LA yield. The gradient boosting regression (GBR) model achieved the best performance, with a test-set determination coefficient (R²) of 0.94 and the lowest root-mean-square error (RMSE). SHapley Additive exPlanations (SHAP) and partial dependence analysis identified water fraction, catalyst dosage, and reaction temperature as the key factors influencing LA formation. By integrating the GBR model with particle swarm optimization (PSO), RuCl₃ was identified as an efficient catalyst under high-temperature and short-reaction-time conditions. This study demonstrates the potential of machine learning in cellulose conversion research, providing a data-driven strategy and theoretical guidance for efficient and green LA production.
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.