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LY
Verified CAS / Academic Author21 Decoded Studies

Prof. LI Yan'e

State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University

Research Publications & English Decoded Briefs

Showing 21 publications
Acta Energiae Solaris Sinica2026DOI: 10.19912/j.0254-0096.tynxb.202608_9732

Compression-Bending Load-Bearing Performance of Horizontal Joints in Wind Turbine Concrete Towers

This study investigates the compression-bending load-bearing performance of horizontal joints in wind turbine concrete towers through a 1:4 scaled compression-bending test on a concrete tower specimen. A finite element numerical model was established, and the simulated compression-bending capacity of the horizontal joint deviated from experimental results by less than 5%, validating the model's accuracy. The force mechanism of the horizontal joint in wind turbine concrete towers was systematically studied. Based on experimental results, theoretical cross-sectional force analysis, and finite element parametric analysis, a calculation method for the compression-bending capacity of horizontal joint connections under compression-bending conditions is proposed. The predicted values from this method deviate from experimental and finite element simulation results by less than 10%, further demonstrating the accuracy of the proposed calculation method. The study reveals that the failure mode of concrete towers under compression-bending loads exhibits brittle material failure, with concrete crushing on the compression side of the horizontal joint and yielding of longitudinal reinforcement. Existing design codes overestimate the compression-bending capacity of horizontal joints by a factor of approximately 1.7, leading to unsafe designs. The proposed method accounts for the actual force characteristics where ordinary tensile reinforcement remains unstressed and external prestressing strands remain uncompresssed, providing a more rational assessment of the flexural capacity of tower horizontal joints.

Power Automation Equipment2026DOI: 10.16081/j.epae.202607003

Impedance Modeling and Parameter Optimization Method for Wind Farms Considering Station-Level Control

Large-scale wind farms integrated into weak grids are susceptible to broadband oscillations, a problem that existing impedance models and control parameter optimization methods fail to address systematically because they neglect station-level control and frequency coupling effects. This paper proposes a station-level control strategy based on available power allocation and an adaptive compass search (ACS) algorithm for optimizing station control parameters. A sequence impedance method incorporating frequency coupling effects establishes the aggregated wind farm impedance, and the grid-connected multiple-input multiple-output (MIMO) system is decoupled into positive- and negative-sequence single-input single-output (SISO) impedance models. A high-precision wind farm impedance model that accounts for station-level control is constructed, and the Nyquist criterion evaluates the suppression effect of station control on broadband oscillations. The ACS algorithm optimizes station control parameters to enhance the adaptability of wind farm impedance to external grid impedance, thereby reducing oscillation risk. RT-LAB platform simulations validate the impedance modeling method and control parameter optimization. Results demonstrate that considering station-level control yields a high-precision wind farm impedance model. Compared with genetic algorithm (GA), particle swarm optimization (PSO), grey wolf optimizer (GWO), and sparrow search algorithm (SSA), ACS is more suitable for optimizing wind farm control parameters. Under specific weak-grid conditions, ACS-optimized station control parameters effectively improve grid-connected stability of the wind farm.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3608-8

Enhanced electron delocalization in potassium poly(heptazine imide) triggered by indium sites and nitrogen defects promotes highly efficient H2O2 photosynthesis

Polymeric carbon nitride (PCN) is a promising photocatalyst for H2O2 production due to its visible-light response, low cost, and high selectivity for the two-electron oxygen reduction reaction (ORR). However, its H2O2 yield is limited by narrow light absorption, low charge separation efficiency, and insufficient active sites. Here, crystalline poly(heptazine imide) (PHI)-based carbon nitride with highly dispersed In sites and N defects was prepared via an ionothermal method using LiCl/KCl molten salts. The large π-conjugated system and N defects enhance visible-light harvesting. Remaining K+ ions in nitrogen cavities act as interlayer electron channels, while N defects induce asymmetric charge distribution on the heptazine network, promoting interlayer and in-plane charge separation and transfer. In sites accelerate charge transfer dynamics and serve as active sites for ORR. The synergistic effect of metal modification and defect engineering boosts electron delocalization, significantly improving photocatalytic activity. The H2O2 production rate of 10InPHI reaches 15.3 mmol g−1 h−1 via a two-step single-electron ORR pathway, underscoring the potential of modified carbon nitride for efficient H2O2 photosynthesis.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3579-8

Synergistic Sulfur Vacancy and Polydopamine Engineering in S v-CdS@PDA Z-scheme Heterojunctions for Photocatalytic H2O2 Production with Robust Anticorrosion

Metal sulfides such as CdS are promising for solar-driven H2O2 production but suffer from rapid charge recombination and severe photocorrosion. This study introduces a dual-functional strategy synergizing sulfur vacancy (Sv) engineering and polydopamine (PDA) coating to overcome these limitations. Sv-CdS nanorods were hydrothermally synthesized with tunable vacancy concentrations, followed by in-situ PDA deposition to construct a direct Z-scheme heterojunction. X-ray photoelectron spectroscopy (XPS) and density functional theory (DFT) calculations reveal that the introduction of S vacancies reduces the work function of CdS, facilitating energy level alignment with PDA and enabling efficient electron transfer from CdS to PDA. By tuning the concentration of S vacancies, the charge transfer efficiency can be maximized. As a result, the photocatalytic H2O2 production rate reaches 2539.5 μmol g−1 h−1 under visible light, and further increases to 4395.5 μmol g−1 h−1 after PDA encapsulation—15.6 times higher than that of pristine CdS. Concurrently, PDA enhances O2 adsorption and protects Sv-CdS from photocorrosion. Sv-CdS@PDA exhibited superior photostability compared to Sv-CdS after three consecutive photocatalytic cycles. Mechanistic studies suggest that the Z-scheme heterojunction effectively separates electron-hole pairs: electrons in the conduction band of CdS reduce O2 to ·O2−, which is subsequently converted to H2O2, while holes in the valence band of Sv-CdS oxidize water to replenish O2. This work provides fundamental insights into engineering charge transfer and stability in sulfide-based photocatalysts.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3559-5

Positively Charged Polyamide Membranes with Expanded Ion Passage Channels Enabling Exceptional Lithium Extraction from Battery Leachate

Polyamide (PA) membranes are promising for lithium extraction from spent lithium-ion battery (LIB) leachate but face a trade-off between selectivity and permeability. Here, we demonstrate that nascent PA membranes post-grafted with triaminoguanidinium (TAG) monomers (PA-TAG membranes) gain expanded ion passage channels (0.8–7.1 Å) and enhanced positive charge, achieving high-performance lithium separation. The PA-TAG membrane exhibits a pure water permeance (PWP) of 15.5 L m−2 h−1 bar−1, superior divalent ion rejection (~98%), and an excellent separation factor (~30), significantly outperforming pristine PA membranes. In a simulated acidic battery leachate, the PA-TAG membrane achieved a relative volumetric lithium recovery rate of 48.2% after a two-stage nanofiltration process, with the Li+/M2+ mass ratio of the second permeate reaching 53.35, 445 times that of the feed (0.12). The membrane maintained stable performance over 45 hours of nanofiltration and resisted acidic conditions (pH=2) for at least 20 days. These results highlight the potential of PA-TAG membranes for efficient lithium extraction from acidic battery leachate, addressing the critical need for sustainable recycling of spent LIBs.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3744-9

Sodium storage performance and mechanism of a novel amorphous NaFeP2O7/rGO cathode material derived from jarosite residue

The high-value utilization of industrial wastes is critically important for environmental protection and sustainable development. In this work, amorphous NaFeP2O7 (NFPO) and NaFeP2O7/rGO (NFPO/rGO) composite are synthesized via a selective chemical precipitation approach, utilizing industrial jarosite residue as the iron source. The sodium storage performance and mechanism of this amorphous NFPO/rGO composite as a novel cathode material for sodium-ion batteries (SIBs) are explored for the first time. The as-synthesized amorphous NFPO/rGO composite exhibits outstanding long-term cycling performance of 79.1 mAh g−1 after 1000 cycles at 0.1 A g−1, while the crystalline NFPO/rGO composite does not work. Galvanostatic intermittent titration technique and in-situ electrochemical impedance spectroscopy analysis demonstrate that the amorphous NFPO/rGO composite has high Na+ diffusivity and fast kinetics. In-situ X-ray diffraction analysis reveals the structure change from amorphous NaFeP2O7 to triclinic Na2FeP2O7 during the first discharge process and then evolves to a highly disordered structure in the subsequent charge/discharge cycles. The present work not only provides an avenue for the high-value utilization of jarosite residue but also offers theoretical guidance for the structural design and development of NaFeP2O7-based cathode materials for SIBs.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3780-3

Revolutionizing Healthcare: The Next Generation of Wearable Chemical Sensors for Personal Health Monitoring

Real-time health monitoring and ongoing evaluation of physiological conditions are becoming increasingly vital for the advancement of future medical diagnostics and personalized healthcare solutions. Given that certain illnesses necessitate prompt and accessible detection methods, wearable chemical sensors have garnered considerable interest for their capability to monitor health through physiological signals and chemical indicators. This review delivers a thorough examination of recent developments in four primary categories of wearable chemical sensors: biosensors, humidity sensors, gas sensors, and ion sensors. We explore the representative materials, device structures, operating mechanisms, and various application scenarios for each type of sensor. By investigating the latest innovations in these technologies, we aim to provide a detailed overview of the current research landscape, highlight existing challenges, and present potential future directions of wearable chemical sensors in healthcare monitoring.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3838-5

Surface-Confined Metallization of Nanofibrous Networks via Selective Dissolution-Assisted Transfer Printing for Lightweight and Air-Permeable Soft Electronics

Air-permeable and ultrathin conductive electrodes are essential for next-generation soft electronics, including breathable wearables, on-skin devices, and bio-integrated electronics. However, conventional metallization strategies, such as sputtering and ink-printing, often suffer from severe vertical charge leakage due to the porous and ultrathin characteristics of nanofibrous networks, leading to device short-circuiting, operational failure, and limited vertical integration. Here, we present a solvent-selective dissolution-assisted transfer printing strategy to achieve surface-confined metallization of ultrathin, lightweight, and gas-permeable nanofibrous networks, enabling lateral conductivity while maintaining vertical insulation. This transfer printing process facilitates not only the rapid formation of conductive patterns on the surface of nanofibrous networks but also mechanical reinforcement through solvent evaporation-induced interlocked fiber-fiber welding. Meanwhile, the strategy preserves the high permeability of the nanofibrous networks and imparts a unique combination of surface conductivity (2 Ω cm) and vertical insulativity (10^11 Ω cm). The resulting anisotropic conductive networks enable low-voltage wearable heaters, high-sensitive pressure sensors, and ultralight temperature sensors. A pressure-temperature dual-modal sensing patch is further fabricated for intelligent grasping classification. The proposed surface-confined metallization strategy enables rapid fabrication of an anisotropic conductive network as a building block to construct air-permeable, ultrathin, and lightweight wearable electronics.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202604004

Key Environmental Behaviors and Pollution Control Strategies of Tire Wear Particles in Aquatic Environments

Tire wear particles (TWPs) are emerging pollutants and constitute the dominant type of microplastics (MPs) in urban stormwater runoff, accounting for up to 90% of MPs in some cases. They are characterized by small size, high mobility, complex composition, and significant toxicity. Current research on TWPs remains fragmented, lacking a comprehensive understanding of their environmental behaviors and pollution control in aquatic systems. This review systematically analyzes the enrichment and vectoring roles of TWPs for coexisting pollutants, and their environmental fate, including ecotoxicological impacts, detection methodologies, release of intrinsic additives, and aggregation and sedimentation behaviors. Drawing on insights from other microplastic studies, the paper explores control technologies across the pollution pathway—source, transport, and terminal treatment—and proposes feasible management strategies. Key findings indicate that TWPs can adsorb heavy metals and organic contaminants, with adsorption capacities influenced by aging processes. Their aggregation is governed by solution chemistry, with critical coagulation concentrations varying with ionic strength and pH. The release of additives such as zinc and benzothiazoles is significant, posing ecological risks. Future research should focus on real-water aggregation mechanisms, additive release under natural conditions, long-term performance of treatment facilities like constructed wetlands under TWPs stress, enzymatic degradation pathways, and integration of AI, big data, and IoT for cost-effective detection and risk modeling. This review provides a scientific basis for developing targeted pollution control measures for TWPs in aquatic environments.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202410085

Removal of Pollutants from Urban Surface Runoff by a Straw-Based Composite Bioretention System

Surface runoff pollution has become a significant source of water contamination. This study constructed an integrated composite bioretention system comprising straw, aquatic plant, and biochar zones for purifying urban surface runoff, aiming to meet the standards for reuse as landscaping water. The system's performance in removing conventional pollutants and polycyclic aromatic hydrocarbons (PAHs) was investigated, along with microbial community structure analysis. Results showed removal efficiencies of 81.1% for COD, 98.1% for TN, 79.1% for TP, and 90.3% for TSS, with effluent meeting the 'Water Quality for Scenic and Recreational Use' (GB/T 18921-2019) standard. The system exhibited robust resistance to pollutant and hydraulic loading. The alkali-modified straw zone was the primary pollutant removal region, facilitating physical adsorption and capture of suspended solids, while released carbon sources enhanced total nitrogen removal. This zone exhibited the highest microbial richness, with relative abundances of Proteobacteria and Firmicutes at 54.3% and 21.9%, respectively. The system effectively removed all 16 priority PAHs, reducing effluent toxicity equivalent by 86.5%. The straw zone completely removed four high-molecular-weight PAHs (BaP, DahA, BghiP, IcdP), while aquatic plants and biochar effectively removed medium- and low-molecular-weight PAHs.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025091205

Temporal Variation Characteristics of Air Pollutants in the Kui-Du-Wu Region of Xinjiang from 2018 to 2024

This study analyzes the spatiotemporal variation characteristics and driving mechanisms of PM2.5, PM10, SO2, NO2, O3, and CO in the Kuytun-Dushanzi-Wusu (Kui-Du-Wu) region of Xinjiang, based on monitoring data from 2018 to 2024. Results indicate that urban sites (e.g., Kuytun Laoganju Station) are influenced by traffic emissions, leading to elevated PM2.5 and NO2 concentrations. Dushanzi District, with petrochemical industry emissions, exhibits notable SO2 and O3 pollution. Agricultural areas (e.g., Kuytun Huaxin Tomato Company) show significant PM10 and CO levels affected by dust and diesel machinery. Over the study period, PM2.5, PM10, NO2, and CO concentrations generally declined at annual rates of 1.5–4.0 μg·m−3·a−1, reflecting the effectiveness of coal substitution, industrial upgrades, and vehicle emission controls. Conversely, O3 concentrations increased consistently at rates of 1.3–3.2 μg·m−3·a−1, highlighting shortcomings in volatile organic compound (VOCs) control. Seasonal patterns show PM and CO peaking in winter due to heating combustion and temperature inversions, and reaching minima in summer due to enhanced diffusion and precipitation. O3 peaks in summer driven by photochemical reactions, contrasting with NO2 winter highs from heating and industrial activities. The findings underscore the need for coordinated control of VOCs and NOx, optimized dust management, and differentiated emission controls for industrial, traffic, and agricultural sources.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3850-3

Circularly polarized light activated chiral molybdenum-doped carbon dots for spatiotemporally synergistic antibacterial strategy

Chiral nanomaterials have attracted considerable attention for antibacterial applications due to their unique chiroptical properties. Here, we report a novel spatiotemporally precise synergistic photodynamic therapy (PDT) and photothermal therapy (PTT) strategy using circularly polarized light (CPL)-activated chiral molybdenum-doped carbon dots (L-Mo-CDs and D-Mo-CDs). These chiral carbon dots were synthesized using chiral tartaric acid as a precursor. Notably, D-Mo-CDs selectively respond to left-handed CPL (LCP), while L-Mo-CDs respond to right-handed CPL (RCP). Under CPL irradiation, D-Mo-CDs exhibit enhanced reactive oxygen species (ROS) generation and a higher photothermal conversion efficiency (PCE) compared to L-Mo-CDs. In vitro antibacterial assays demonstrate that D-Mo-CDs possess excellent bactericidal efficacy against both Gram-positive and Gram-negative bacteria. In vivo wound healing studies in a mouse model reveal remarkable therapeutic efficacy, attributed to reduced inflammation, accelerated angiogenesis, and enhanced collagen deposition. This work introduces a paradigm for utilizing chiral carbon dots in precision antibacterial therapy, addressing the limitations of conventional chiral nanomaterials such as poor biocompatibility and low photothermal conversion. The findings underscore the potential of metal-doped chiral carbon dots for advanced biomedical applications, offering a spatiotemporally controllable approach to combat bacterial infections without promoting resistance.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202509124

Water Quality Assessment and Driving Mechanism Analysis of the Hanjiang River Basin Based on WQI-PCA-OPGD

To reveal the spatiotemporal evolution and driving mechanisms of water quality in the Hanjiang River Basin, this study utilized monthly water quality monitoring data from 54 sections from January 2021 to April 2024. Methods including single-factor index, comprehensive water quality index (WQI), principal component analysis (PCA), and optimal parameters-based geographical detector (OPGD) were employed. Results indicated significant spatiotemporal differences, with total nitrogen (TN), chemical oxygen demand (COD), and permanganate index (CODMn) as major pollutants, TN being the most critical. Temporally, agricultural non-point source organic pollution dominated in wet season, while comprehensive organic pollution with industrial point source characteristics prevailed in dry season. Spatially, water quality deteriorated along the main stream, with tributary downstream areas showing severe pollution, forming a pattern of 'mountainous areas good, plains poor'. OPGD revealed combined effects of natural conditions and human activities, proposing a 'zonal control and targeted treatment' strategy.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3820-5

Rigid Oxygen-Bridged Boron NHC-Based Homoleptic Phosphorescent Iridium Complexes: Structures, Photophysics and OLED Application

Two novel N-heterocyclic carbene (NHC)-based ligands featuring rigid boron-oxygen (BO) fused-ring units, named Bpmi and Bpmb, and the two corresponding homoleptic meridianal iridium complexes, namely mer-Ir(Bpmi)3 and mer-Ir(Bpmb)3, were designed and synthesized. Single-crystal structures revealed a meridional coordination geometry for both complexes. Shorter Ir–C carbene bond lengths and rigid planar BO-fused ring units contribute to enhanced stability. Both complexes exhibit efficient green phosphorescence (λem = 536/521 nm in toluene, ΦPL > 78%) with short lifetimes (τ = 846/1083 ns), leading to high radiative rate constants (Kr = 10.04 × 10^5 and 7.29 × 10^5 s−1, respectively). Theoretical calculations indicate significantly increased metal-to-ligand charge transfer (MLCT) character (21.69% for mer-Ir(Bpmi)3; 17.30% for mer-Ir(Bpmb)3) compared to reference complexes (13.01% for mer-Ir(pmi)3; 15.99% for mer-Ir(pmb)3). Both complexes exhibit exceptional thermal stability with decomposition temperatures of 491°C (mer-Ir(Bpmi)3) and 540°C (mer-Ir(Bpmb)3). OLED devices using mer-Ir(Bpmb)3 and mer-Ir(Bpmi)3 as emitters demonstrate maximum external quantum efficiencies of 20.0% and 15.6%, respectively. This research pioneers boron-fused ring-containing NHCs and their phosphorescent iridium(III) complexes, establishing a novel design strategy for high-performance NHC-based OLED phosphorescent emitters.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202512059

Construction of Thiol-Functionalized Chitin and Its Adsorption Performance and Mechanism for Pd(II)

Recovery of palladium from Pd-bearing wastewater is economically and environmentally significant. Adsorption is a promising method due to its simplicity, low cost, and high efficiency. In this study, a novel thiol-modified adsorbent (CHT-SH) was synthesized via one-step functionalization of inexpensive chitin (CHT) with thioglycolic acid. At room temperature and pH=2, CHT-SH exhibited an experimental adsorption capacity of 223.67 mg·g−1 for Pd(II), which was approximately 7 times higher than that of pristine CHT (30.6 mg·g−1). Kinetic and isotherm studies indicated that the adsorption process followed the pseudo-second-order kinetic model and the Langmuir isotherm model, with a maximum theoretical adsorption capacity of 248.89 mg·g−1, suggesting monolayer chemisorption. Characterization (FTIR, SEM, XPS, XRD) and density functional theory (DFT) calculations revealed that the adsorption mechanism primarily involved synergistic coordination of nitrogen and sulfur atoms, along with electrostatic interactions. Furthermore, CHT-SH demonstrated good reusability, retaining stable adsorption capacity after five adsorption-desorption cycles. Compared to other adsorbents that rely on redox mechanisms and are costly, CHT-SH offers comprehensive advantages. This work provides a cost-effective and efficient adsorbent for Pd(II) recovery from wastewater, offering technical support and theoretical reference for practical applications.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4097-3

Stress-Guided Anisotropic Etching of MoS2 Nanostructures with Spatial Control over Edge Structure and Morphology

The on-demand patterning of two-dimensional transition metal dichalcogenides (TMDs) with tailored edges is critical for electronic and optoelectronic applications but remains technically challenging. Here, we report a stress-guided anisotropic etching strategy for producing large-area, well-ordered MoS2 nanostructures, including nano-ribbons and nano-squares, without templates. By applying uniaxial cumulative stress followed by selective thermal etching, MoS2 monolayers are statistically etched into ribbon-like structures whose width inversely correlates with applied stress magnitude. The newly etched edges are macroscopically straight or serrated, predominantly Mo-zigzag terminated, and enhance photoluminescence by a factor of ~8.0. The edge type depends on the angle between stress direction and crystallographic orientation, corroborated by theoretical calculations. Biaxial stressing generates well-defined nano-squares, offering a scalable, versatile patterning route for engineering 2D materials with tailored functional edges, promising for electrocatalytic and optoelectronic applications.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-025-3409-1

Lanthanide-doped fluoride core@dual-shells nanoparticles for multi-mode temperature and molecular sensing

Multimodal luminescent materials are of interest for multiplexed biosensing, multi-mode thermometry, and multidimensional displays, yet achieving simultaneous high-performance multimodal luminescence and multifunctionality remains challenging. This work reports NaNd0.7Gd0.3F4:Yb@NaYF4:Yb/Er@NaGdF4:Yb/Tm core@shell@shell upconversion nanoparticles (UCNPs) that enable multi-mode temperature and molecular sensing with enhanced sensitivity. By exploiting temperature-dependent intensity ratio variations of I520/I550, I697/I650, and I697/I475, multi-mode temperature sensing is achieved with a maximum relative sensitivity of 2.27%/K, exceeding many previously reported lanthanide-doped UC systems. The UCNPs are further applied for multi-channel molecular detection under both 980 and 808 nm excitation, with limits of detection for methyl orange (MO) and rhodamine B (RhB) as low as 0.48 and 0.57 μg/mL, respectively, outperforming most lanthanide-doped UC systems in the literature. These results underscore the potential of core@shell@shell UCNPs for advanced multimodal sensing in environmental monitoring, biomedical diagnostics, and multi-channel molecular analysis.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-025-3390-0

Synergistic Enhancement of the Strength and Ductility of High-Entropy Alloy at High Temperatures via Multiple Heterogeneous Microstructure Modulation

Face-centered cubic (FCC) high-entropy alloys (HEAs) exhibit a critical strength deficiency and intermediate temperature brittleness (ITB) between 650–750 °C, severely limiting their deployment in safety-critical structural applications. This study introduces a coherent FCC/L1₂ HEA engineered through multiple heterogeneous microstructure modulation, incorporating grain size heterogeneity and multimodal L1₂ precipitate distributions. The alloy achieves a tensile strength of 1700 MPa with 15.9% ductility at ambient temperature. In the intermediate temperature regime, yield strength reaches 1 GPa with tensile strain exceeding 14%, effectively suppressing ITB. The primary L1₂ phase stabilizes grain boundaries, inhibiting crack propagation and oxygen diffusion, thereby preventing brittle phase formation at boundaries. This heterogeneous structural strategy provides a validated pathway for designing high-performance HEAs for advanced high-temperature structural applications.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-025-3530-3

Trace-level oxygen doping in organic semiconductors: mechanistic insights and precise modulations

Organic semiconductors (OSCs) are pivotal for large-area wearable devices, optoelectronic displays, logic circuits, and next-generation optoelectronics, yet their commercialization is impeded by extrinsic impurities, particularly ubiquitous oxygen. Oxygen's high electronegativity drives redox interactions within OSCs, traditionally viewed as detrimental charge-carrier traps that degrade performance and stability. Recent evidence reveals a paradoxical effect: at trace levels, oxygen doping can enhance device performance and stability by pre-emptying donor-like traps. This perspective delineates the mechanistic underpinnings of trace oxygen doping, discussing state-of-the-art modulation strategies to optimize device mobility and stability. Through systematic analysis of structure-property relationships, we examine oxygen-induced modifications in charge transport dynamics and operational reliability. We propose a development framework for oxygen element doping engineering and outline emergent challenges in interfacial stabilization protocols. The analysis synthesizes findings from recent literature, including observations that prolonged air exposure leads to oxygen adsorption and penetration into the organic semiconductor channel, forming traps. By reconciling contradictory roles of oxygen, this work provides a roadmap for precise oxygen modulation, aiming to overcome stability bottlenecks in organic field-effect transistors (OFETs), organic light-emitting diodes (OLEDs), organic photovoltaic cells (OPVs), and sensing devices. The perspective underscores the need for targeted strategies to control oxygen incorporation at trace levels, balancing trap passivation and doping effects to achieve optimized optoelectronic performance and operational longevity.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-025-3601-6

Composite protective coating on lithium metal anodes for polysulfide shielding in lithium-sulfur batteries

Lithium-sulfur (Li-S) batteries face significant challenges due to the environmental sensitivity, dendrite growth and polysulfide-induced side reactions of lithium metal anodes (LMAs), which compromise their safety and cycle life. To address these issues, we develop a composite protective layer comprising layer-by-layer assembled graphene oxide (GO) films coated with 1H,1H,2H,2H-perfluorodecyl trichlorosilane (FDTS). The lithium-reduced GO framework establishes uniform ion-conducting channels that homogenize Li-ion flux, enabling uniform deposition and suppressing dendrite formation. At the same time, the hydrophobic organic coating serves as a robust barrier against water, air and lithium polysulfides (LiPSs), enabling the environmental and electrochemical stability of LMAs. As a result, the protected LMAs maintain exceptional stability upon direct contact with water and exposure in humid air (relative humidity 35%). When integrated into Li-S batteries with high sulfur loadings (4.5 mg cm−2), the protected LMAs enable a capacity retention of 61.1% over 300 cycles, showing improved cycling performance. This work provides a scalable approach to stabilizing LMAs for practical Li-S batteries.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-025-3524-y

Neuromorphic Parallel Computing Hardware Based on Quantum Dots for 12-Lead Electrocardiogram Monitoring

The 12-lead electrocardiogram (ECG) is indispensable for the initial diagnosis of cardiac conditions, yet existing neuromorphic hardware for multi-lead ECG monitoring requires multiple array circuits and two operational processes, imposing severe constraints on device consistency and diagnostic accuracy. This study introduces a neuromorphic parallel computing hardware architecture based on quantum dot synaptic transistors that leverages trap and surface electric field effects to enable 12-lead ECG monitoring within a single array circuit, eliminating the need for twelve separate circuits. The system concurrently processes multiple ECG signals and produces final outputs without external computing or control circuits. A 12-transistor array, termed STAC, directly processes one-dimensional ECG data without additional conversion circuits, integrating a feature extraction layer at the pixel level and a feature fusion layer at the circuit level. Classification of ECG signals from the MIT-BIH Arrhythmia Database and the Chinese Twelve-Lead ECG Challenge Database yields a training accuracy exceeding 98%. A five-class ECG signal classification task achieves 96.2% recognition accuracy, with a 5×5 confusion matrix confirming high classification precision across normal (N) and four abnormal categories (A, V, L, R). The architecture accurately detects myocardial infarction by fine-tuning internal weights, demonstrating proficiency in monitoring abnormal ECG signals. This advancement offers a compact, low-cost solution for wearable and portable 12-lead ECG monitoring devices, enabling real-time cardiac assessment with reduced hardware complexity and enhanced diagnostic reliability.