SinoGreenTech Academic Portal
CL
Verified CAS / Academic Author41 Decoded Studies

Prof. Cha Li

Tianjin University, Tianjin, China

Co-Affiliations:College of Chemistry, Nankai University

Research Publications & English Decoded Briefs

Showing 41 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4279-0

Inkjet Printing Organic Light-Emitting Diodes

Inkjet printing has emerged as a viable additive manufacturing route for organic light-emitting diodes (OLEDs), offering drop-on-demand patterning, high material utilization, and compatibility with large-area flexible substrates. This review critically examines the formulation science, printhead physics, and drying kinetics that govern the quality of inkjet-printed organic layers. We analyze the rheological window required for stable jetting, typically 1–20 mPa·s viscosity and 25–45 mN/m surface tension, and the dimensionless Ohnesorge number (0.1 < Z < 1) that defines satellite-free droplet formation. The coffee-ring effect, driven by capillary flow and solvent evaporation gradients, remains the dominant failure mode for pixel non-uniformity; binary solvent systems and substrate temperature control (40–60 °C) mitigate this. We survey recent progress in printed hole-transport, emissive, and electron-transport layers, with particular attention to cross-linkable hole-transport materials that resist interlayer dissolution. Device performance metrics from printed OLEDs now reach external quantum efficiencies of 15–20% for fluorescent emitters and >25% for phosphorescent systems, with operating lifetimes (T95) exceeding 1,000 hours at 1,000 cd/m². We identify remaining bottlenecks: nozzle clogging from aggregated nanoparticles, film thickness variation across large panels, and the absence of standardized ink formulations. The review concludes with a roadmap for industrial adoption, emphasizing in-line metrology and closed-loop process control as prerequisites for yield parity with vacuum-deposited OLEDs.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4494-9

Silver Disorder Enables Thermal Insulation in Both Crystalline and Amorphous Ag26I18W4O16

Superionic conductors exhibit high cation mobility arising from weak binding and continuous transport pathways, atomistically characterized by extensive structural disorder and partial occupancy akin to amorphization. This disorder, whether confined to a cation sublattice or extended to full amorphization, strongly impedes lattice thermal transport, rendering these materials intrinsically ideal thermal insulators. This work investigates Ag26I18W4O16, a superionic conductor tunable from fully amorphous to single-crystalline states, as a model system to probe the impact of disorder and amorphization on thermal transport. Extensive Ag+ disorder, in both crystalline and amorphous phases, reduces thermal conductivity to approximately the theoretical lower bound of 0.16 W/m-K with virtually no temperature dependence, while concurrently achieving the lowest mean sound velocity ever recorded for a dense solid. Pair distribution function (PDF) analysis of synchrotron X-ray total scattering data indicates that short-range disorder (< 5 Å), rather than long-range periodicity, governs thermal insulation performance in both phases. These findings suggest a design strategy reconciling structural stability with glass-like thermal insulation.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4288-1

Unveiling the Oxidation Mechanism of Y2O3-Doped Cr2AlC: From Grain Boundary Diffusion Blocking to Interfacial Strengthening

The high-temperature oxidation resistance of Cr2AlC MAX phase ceramics is severely compromised by rapid Al depletion and the formation of a brittle sub-surface Cr7C3 layer. This study elucidates how trace Y2O3 doping (0.25 and 0.5 wt.%) modulates the oxidation behavior of Cr2AlC at 1100 °C. The incorporation of 0.5 wt.% Y2O3 significantly suppresses the parabolic rate constant compared to undoped counterparts. This kinetic suppression is attributed to the Reactive Element Effect (REE), where Y3+ segregation at α-Al2O3 grain boundaries inhibits outward Al3+ diffusion, shifting the scale growth mechanism to inward oxygen diffusion control. Consequently, this retarded Al consumption prevents the decomposition of the Cr2AlC substrate into Cr7C3. While undoped specimens fail due to volume contraction and Kirkendall voiding associated with the Cr7C3 interlayer, specimens with the most effective doping content within the investigated range maintain a stable, atomically sharp α-Al2O3/Cr2AlC interface devoid of voids and decomposition products. The superior adhesion of this interface is attributed to three synergistic factors: the elimination of volumetric mismatch induced by phase transformation, the mechanical interlocking provided by Y-rich oxide pegs, and the intrinsically higher interfacial bonding strength of the α-Al2O3/Cr2AlC system as confirmed by DFT calculations. These findings provide a mechanistic framework for designing oxidation-resistant MAX phase ceramics via reactive element doping.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4493-8

Perovskite Solar Cells: From Lab to Real-World Application and Challenges

Metal halide perovskite photovoltaics have achieved power conversion efficiencies rivaling crystalline silicon, yet their transition from laboratory-scale devices to commercial deployment requires a paradigm shift toward application-specific engineering and macroscopic system integration. This review systematically evaluates the customized deployment of perovskite solar cells (PSCs) across diverse operational theaters, including building-integrated photovoltaics (BIPV), portable Internet of Things (IoT) systems, agricultural photovoltaics (Agri-PV), vehicle-integrated photovoltaics (VIPV), utility-scale tandems, and extreme space environments. Despite these opportunities, critical challenges persist in translating laboratory achievements into industrial-scale production. We critically evaluate primary bottlenecks hindering gigawatt-scale commercialization, focusing on the performance gap inherent in large-area manufacturing. Additionally, we analyze intrinsic material instabilities driven by dynamic ion migration and multi-scale lattice strain under realistic outdoor conditions. To conclude, we outline a strategic roadmap for overcoming these barriers, emphasizing lattice strain regulation, rigorous dynamic environmental testing protocols, and comprehensive sustainable lifecycle management. By synergizing mechanistic insights with scalable manufacturing and ecological assessments, this review provides a holistic framework to accelerate the ubiquitous commercialization of customizable, stable, and high-efficiency perovskite energy systems.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4250-0

Heating-mode-defined energy pathways govern non-contact release in shape memory polymer transfer printing

Shape memory polymer (SMP)-based transfer printing offers a promising route for heterogeneous integration of flexible electronics, yet non-contact release reliability remains a critical bottleneck. This study systematically investigates the influence of pickup heating modes—localized versus global—on the release yield and energy-delivery mechanisms through combined experiments and finite element simulations. The localized heating mode concentrates strain energy at the interface, enabling controlled chip ejection with high yield, whereas global heating dissipates energy, leading to release failure. Quantitative analysis reveals that localized heating achieves a release yield of 100% under optimized conditions, compared to near-zero for global heating. The ejection velocity under localized heating is higher, which may induce chip bouncing on the receiver substrate, affecting transfer accuracy; however, this can be mitigated by adjusting release gap and laser parameters. The findings establish a theoretical framework for energy pathway design, providing guidelines for achieving high-yield, accurate non-contact release in laser-induced transfer printing. This work advances the practical application of SMP-based transfer printing for micro-LED displays and flexible electronics, addressing a key manufacturing bottleneck.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4205-8

Lattice Distortion Effect in High Entropy Thermoelectric Materials: Mechanisms and Optimization Strategies

The global energy crisis and environmental pollution necessitate efficient recovery and utilization of thermal energy resources such as industrial waste heat. Thermoelectric materials, enabling direct conversion between thermal and electrical energy, offer broad application prospects in waste heat power generation and chip cooling. The energy conversion efficiency is determined by the dimensionless figure of merit, ZT = (S^2σ/κ)T, where S is the Seebeck coefficient, σ is the electrical conductivity, κ is the thermal conductivity, and T is the absolute temperature. Ideal thermoelectric materials require both a high power factor (PF = S^2σ) and low thermal conductivity. However, the strong coupling between electrical and thermal transport parameters makes synergistic optimization challenging. Over the past two decades, strategies such as band engineering, nanostructuring, liquid-like ions, interstitial atoms, phonon softening, and defect engineering have been explored. Among these, entropy engineering has emerged as a novel strategy that achieves synergistic optimization by introducing multiple components to increase configurational entropy. High entropy materials, originating from alloys, are defined as multi-principal element systems with five or more elements in near-equiatomic ratios forming single-phase solid solutions. The molar configurational entropy ΔS_conf = R∑x_i ln x_i, with materials classified as high entropy (ΔS_conf > 1.5R), medium entropy (1R < ΔS_conf < 1.5R), or low entropy (ΔS_conf < 1R). Four core effects are summarized: high entropy effect, lattice distortion effect, sluggish diffusion effect, and cocktail effect. Research has expanded from alloys to oxides, chalcogenides, and half-Heusler compounds. This review systematically summarizes the mechanisms by which lattice distortion in high entropy materials affects electrical and thermal transport, and discusses optimization strategies for thermoelectric performance.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-026-4317-4

Correction to: Facile preparation of cabazitaxel-loaded nanoparticles directly lyophilized from dioxane

This correction addresses an image assembly error identified in Fig. 7a of the original article published in Science China Materials, volume 66, issue 6, 2023, pages 2513–2522. The error was confined to the assembly of images in Fig. 7a, which presents H&E staining analysis of major organs from a toxicity study. The corrected version of Fig. 7 is provided in this corrigendum. The original study evaluated the toxicity of lyophilized cabazitaxel (CTX) and Tween 80-based CTX formulations in CD-1 mice following a single intravenous administration of 30 mg kg−1 CTX via the tail vein on day 0, with sacrifice on day 14 for analysis (n=5). The figure includes H&E staining of major organs, complete blood count (CBC) analysis with statistical significance indicated by *p < 0.05, and mouse weight measurements. The correction does not affect the overall results, data interpretation, or scientific conclusions of the original article. All authors have reviewed and approved the content of this corrigendum. The authors sincerely apologize for any inconvenience caused to the editorial office, reviewers, and readers. The article was received on 6 May 2026, accepted on 4 June 2026, and published online on 31 July 2026.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3642-4

Novel Ce3+-activated gadolinium-based glass prepared in vacuum: structure and scintillation

High-density glass scintillators are promising alternatives to crystals for next-generation radiation detection due to their low cost, excellent physical and chemical stability, and processability. In this study, a series of Ce3+-activated gadolinium gallium borosilicate (GGBS x) glasses were synthesized via vacuum melt-quenching. With increasing Gd2O3 content, glass density increased from 5.86 to 6.05 g/cm3, and molar volume from 36.43 to 39.79 cm3/mol. Extended X-ray absorption fine structure (EXAFS) analysis revealed that in GGBS 1 glass, Ce3+ exclusively adopts a hexahedral [CeO6] configuration, while Gd3+ exhibits both hexahedral and octahedral coordination with a bond length of 2.35±0.1 Å and Debye-Waller factor σ2 of 0.0122±0.0015 Å2. As Gd2O3 content increased, shallow trap depth rose from 0.804 to 0.858 eV, while deep trap depth first increased from 0.948 to 1.434 eV then decreased to 1.010 eV. GGBS 1 glass exhibited high transmittance (~80%) in the visible range and a photoluminescence quantum yield of 78.4%. Under X-ray irradiation, its X-ray excited luminescence intensity reached 128.5% of that of Bi4Ge3O12 (BGO) crystal, with a spatial resolution of 29.1 lp/mm, approaching the highest reported for glass scintillators. Under γ-ray excitation, it achieved a light yield of 1058 photons/MeV and an energy resolution of 23.7% at 662 keV. These results indicate that GGBS 1 glass scintillator warrants further development for applications in X-ray imaging and γ-ray spectroscopy.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3712-2

Controlling ligand field of Li3VO4 to enhance the electrochemical performance for lithium-ion batteries

Electrochemical potential and ion diffusion of electrode materials restrain the energy and power densities of lithium-ion batteries, and these challenges also remain in the intercalation-type Li3VO4 (LVO). In this work, the local [VO4] coordination symmetry in LVO is broken by a higher concentration of oxygen vacancies (Vö), resulting in an increased average V–O bond length and a larger ligand field splitting. These alterations reduce the energy level of the lowest unoccupied orbitals (e*) and lift the electrochemical potential, resulting in a higher voltage output. Additionally, the broken local symmetry in Vö-LVO is found to reduce the band gap and expand the ion transport channels, which favors enhancing electronic conductivity and facilitates ion diffusion, thereby improving the electrochemical kinetics in the energy storage process. The local symmetry broken sample (Vö-LVO) achieves a significantly improved capacity of 532 mAh/g at 0.1 A/g in comparison with 394 mAh/g of pristine LVO, and long cycling stability with retained capacity of 398 mAh/g at 1 A/g over 500 cycles compared with 236 mAh/g of the pristine LVO. The fundamental understanding paves the way to exploit high-performance electrodes via ligand field engineering for next-generation rechargeable batteries.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3836-8

Interface Engineering of MXenes for Flexible Energy Storage and Harvesting

Flexible energy storage and harvesting devices, as core components of flexible electronic systems, have driven the transformation from external power supply to self-powering and from fixed forms to adaptive configurations, playing a pivotal role in wearable technology and the Internet of Things. MXenes, a class of two-dimensional transition metal carbides, nitrides, and carbonitrides, are promising candidates due to their excellent conductivity, mechanical flexibility, and tunable interfacial characteristics. Specifically, interfacial characteristics—surface energy, surface terminations, and interlayer spacing—decisively influence device performance. This review summarizes the influence of microcosmic interfacial characteristics on macroscopic properties, interfacial regulation strategies, and applications in flexible energy storage and harvesting. It concludes with challenges and perspectives for designing high-performance MXene-based energy devices. Key applications include flexible supercapacitors, batteries, and triboelectric nanogenerators. For instance, pillared Ti3C2 via CTAB pre-pillaring and Sn4+ pillaring regulates interlayer spacing, enhancing ion transport. The review integrates recent advances, such as MXene/nylon scaffolds for dendrite-free zinc anodes and MXene-bonded hard carbon films for sodium/potassium storage, demonstrating improved cycling stability and rate capability. The interfacial engineering strategies discussed provide a roadmap for overcoming stacking issues and achieving high energy density and mechanical robustness.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3665-2

PANoptosis-Driven Immunogenic Cell Death by a Single NIR Laser-Triggered Nanoplatform for Cancer Phototherapy

Immuno-phototherapy faces a critical bottleneck: achieving high singlet oxygen (1O2) quantum yield and efficient photothermal conversion simultaneously under a single near-infrared (NIR) laser. Here, we report an acceptor-donor-acceptor (A-D-A) structured molecule, 3,9-bis(2-methylene-((3-(1,1-dicyanomethylene)-6/7-methyl)-indanone))-5,5,11,11-tetrakis(4-hexylphenyl)-dithieno[2,3-d:2',3'-d']-s-indaceno[1,2-b:5,6-b']-dithiophene (m-ITIC), formulated into nanoparticles (NPs) via self-assembly with DSPE-PEG-NH2. The NPs exhibit strong NIR absorption and fluorescence at 688 and 768 nm, respectively. Under single-laser irradiation, they generate heat, superoxide anion (O2•−), and 1O2, with a 1O2 quantum yield of 56.8% and photothermal conversion efficiency (PCE) of 27.4%. This enables NIR fluorescence imaging-guided synergistic photodynamic therapy (PDT) and photothermal therapy (PTT). Notably, the nanoplatform induces PANoptosis—a coordinated cell death program integrating pyroptosis, apoptosis, and necroptosis—in tumor cells, amplifying immunogenic cell death (ICD). This triggers robust dendritic cell activation, macrophage polarization toward M1 phenotype, elevated CD8+ T cell infiltration, and suppression of immunosuppressive Treg cells, leading to significant tumor growth inhibition and prevention of lung metastasis in vivo. Therapeutic efficacy was validated in patient-derived tumor organoids, underscoring translational potential. This study presents a novel single-laser-activated nanoplatform that simultaneously mediates efficient photothermal and photodynamic effects and induces PANoptosis-driven ICD for synergistic cancer immunotherapy.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202506020

Multi-objective optimization of high-quality lithium extraction from lepidolite roasting based on neural network coupled modeling

The rotary kiln roasting of lepidolite for lithium extraction faces challenges of unstable lithium conversion rates and high energy consumption. To address this, a multi-objective optimization method coupling improved neural network simulation with a multi-objective genetic algorithm was proposed, targeting the synergistic optimization of lithium conversion rate (TRLi) and natural gas consumption intensity (EIng). Using long-term industrial time-series data of batching parameters and kiln operating variables, back-propagation (BP) neural network and its particle swarm optimization (PSO) improved variant were developed to model TRLi and EIng. The PSO-BP model demonstrated superior accuracy in capturing the complex nonlinear relationships, reducing mean absolute percentage errors (MAPE) to 0.278 and 0.284 for TRLi and EIng, respectively. Subsequently, the non-dominated sorting genetic algorithm II (NSGA-II) was employed to construct a multi-objective optimization model, yielding a Pareto-optimal set of process parameters that maximize TRLi and minimize EIng. The results revealed that under NSGA-II optimized conditions, TRLi could be stabilized between 82.45% and 87.96%, an average increase of 3.61 percentage points over baseline operations, while EIng could be reduced to 53.7 m3 per ton of clinker. For an annual processing capacity of 3.2×105 tons of lepidolite concentrate and sulfate mixture, this corresponds to an additional 127.1 tons of lithium metal recovery, a reduction of 1,964,912 m3 in natural gas consumption, and a decrease of 3,763.84 tons in CO2 emissions annually. This study provides theoretical and technical support for the green, high-quality, and low-carbon supply of critical raw materials for the lithium battery new energy industry.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2024110202

Metabolic Flux-Based Regulation of Flexible Nodes Enhances Methane Yield in Anaerobic Digestion at Optimal Temperature

Anaerobic digestion (AD) is an environmentally friendly biochemical technology for waste treatment and renewable energy production, yet its methane conversion efficiency remains suboptimal. This study employed flux balance analysis (FBA) to determine the optimal temperature for methane production in AD, and subsequently regulated key flexible nodes in the metabolic pathway to maximize methane flux. At the optimal temperature of 40 °C, up-regulating the acetyl-CoA flexible node increased methane flux by 48.5%, while up-regulating the acetate node increased it by 36.6%. The higher improvement via acetyl-CoA regulation is attributed to the fact that 40 °C is unfavorable for hydrogen-producing acetogenic bacteria, making acetyl-CoA the critical control point. These findings demonstrate that flexible node regulation can overcome the limitations of temperature optimization alone. The FBA methodology provides a reliable, cost-effective approach for optimizing target product yields in AD and other fermentation systems, requiring only input and output measurements to resolve intermediate metabolic fluxes.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202604001

Occurrence Characteristics, Source Apportionment, and Ecological Risk Assessment of Pesticides in Plateau Lakes: A Case Study of Dianchi Lake

This study systematically investigated the occurrence, spatial distribution, sources, and ecological risks of 160 pesticides in Dianchi Lake, a typical plateau lake impacted by agricultural activities. A total of 37 pesticides were detected in the water, with total concentrations ranging from 64.2 to 1132.8 ng/L (average 610.0 ng/L). Fungicides, including boscalid (BOS), fluopicolide (FPC), and dimethomorph (DMM), were dominant, contributing up to 65.0% of the total concentration. Spatially, the southern lake region exhibited significantly higher concentrations (672.5 ng/L) than the north, attributed to intensive facility agriculture. Highly hydrophobic pesticides, such as penconazole (PEN), showed a tendency to enrich in bottom layers. Source apportionment identified inflowing rivers and wastewater treatment plant effluents as primary input sources, with average concentrations 7 and 9 times higher than lake water, respectively. Ecological risk assessment revealed that pesticides posed the highest risk to algae, followed by daphnia and fish. Prometryn (PMT) was identified as a high-risk factor for algae, while profenofos (PFF) and carbendazim (CBD) posed potential threats to higher trophic levels. These findings provide fundamental data and technical support for understanding pesticide pollution in plateau lake ecosystems.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3935-1

Protonation-Mediated Multifunctional Silk Fibroin Hydrogel Adhesives for Epidermal Interface Sensing

Silk fibroin (SF)-based hydrogels are promising for biological interfaces, yet achieving multifunctionality—mechanical robustness, adhesion, conductivity, and stability—often requires chemical modification that compromises biocompatibility. Here, we report a protonation-mediated SF/polyvinyl alcohol (PVA) hydrogel adhesive that retains natural silk properties while gaining tailored functionalities. The physically crosslinked network is formed solely via molecular interactions, with phosphoric acid (H3PO4) as a protonation agent to modulate hydrogen bonding, enabling precise control over adhesion, mechanical strength, and electronic conductivity. Glycerol (Gly) is incorporated as a moisturizing agent to enhance long-term stability for skin applications. The resulting hydrogel exhibits excellent performance in monitoring electrophysiological signals, including electrocardiogram (ECG), electromyogram (EMG), and electroencephalogram (EEG), demonstrating its potential as a platform for advanced biological interfaces. This work addresses the critical challenge of developing SF-based hydrogels that combine natural advantages with multifunctionality, offering a promising route for wearable health monitors and human-machine interfaces.

New Carbon Materials2026DOI: 10.1016/S1872-5805(26)61106-7

Stabilization of Sulfur Species in Coal-Derived Hard Carbon via Micropore Confinement and Chemical Bonding for Enhanced Sodium Storage

Hard carbon anodes for sodium-ion batteries suffer from limited capacity, low initial Coulombic efficiency, and poor long-term cycling stability. To address these issues, we report a dual-stabilization strategy that combines micropore confinement and chemical bonding to control sulfur species in coal-derived hard carbon. Bituminous coal, with its naturally condensed aromatic framework, serves as the carbon precursor. A two-step thermal process first constructs a microporous carbon framework, followed by gas-phase sulfidation to introduce sulfur. The sulfur is confined within micropores and forms stable covalent C–S bonds with the carbon matrix, providing synergistic physical–chemical stabilization. This suppresses sulfur migration, prevents interfacial side reactions, and introduces additional redox-active sites. The optimized sample (HC-10) delivers a high reversible capacity of 450 mAh/g after 800 cycles at a current density of 1 A/g, with excellent rate capability and cycling stability. Mechanistic analysis reveals that the stabilized sulfur species reversibly participate in sodium-ion storage and improve interfacial kinetics. This work provides an effective strategy for stabilizing sulfur in coal-derived carbon materials and offers insights into the design of high-performance anodes for sodium-ion batteries.

New Carbon Materials2026DOI: 10.1016/S1872-5805(26)61099-2

A molecular dataset for the shear deformation of thermoplastic structural materials

The first molecular dynamics (MD) simulation dataset is reported for the interfacial shear behavior of carbon fiber/thermoplastic composites (CFRTPs), aimed at overcoming the critical interfacial problem that limits their high-end applications such as aerospace and new energy vehicles. The study features two key advances. First, we use the newly developed CHONSi-2024 reactive force field (ReaxFF), which provides high-precision parameters specifically for CFRTP interfacial systems. Second, the atomic models are constructed based on experimental characterization data and rigorously validated across multiple parameters, including shear modulus, yield behavior, stress-strain curves, and fracture morphology, ensuring quantitative agreement with experimental results. This dataset provides a complete record of the simulations, encompassing atomic trajectories, local structural changes, interfacial stress-strain responses, and system thermodynamic behaviors. These data offer direct atomic-scale insights into the interfacial strengthening mechanisms. The generated trajectories are compatible with mainstream software for visualization and analysis. Moreover, the dataset constitutes a high-quality resource for developing machine learning force fields, building structure-property relationships, and enabling the predictive modeling and high-throughput screening of composite interfaces. This dataset is anticipated to advance the fundamental understanding of composite interfaces and facilitate the rational design of high-performance CFRTPs.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3756-5

Efficient photocatalytic Minisci-type cross-coupling over ultra-thin graphitic carbon nitride nanosheet

Photochemical organic synthesis exploits the distinctive redox properties of excited-state photocatalysts to avoid stoichiometric redox reagents, enabling green and sustainable transformations. However, the conversion efficiency of light-to-chemical energy remains a key bottleneck for large-scale application. Here, we synthesize ultra-thin graphitic carbon nitride (g-C3N4) nanosheets by regulating precursor types and thermal protocols. In photochemical Minisci-type cross-couplings, this ultra-thin carbon nitride exhibits high catalytic efficiency, achieving rates of 40 mmol g_cat−1 h−1 under LED irradiation and 10.9 mmol g_cat−1 h−1 under natural sunlight. The photocatalyst's high specific surface area (120 m2 g−1) enhances substrate adsorption capacity and accelerates surface electron transfer, boosting photocatalytic efficiency. Furthermore, the material demonstrates excellent recycling stability, and the reaction system was successfully scaled to gram-level, highlighting its potential for industrial applications. This work provides a typical case for solar-driven organic synthesis and inspires further developments in heterogeneous photocatalysis.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3833-1

Au@TiN Hybrid Nanostructures with Geometric, Compositional, and Optical Tunability

Developing plasmonic nanomaterials with compositions beyond noble metals is crucial for expanding their applications. Transition metal nitrides, such as titanium nitride (TiN), exhibit excellent plasmonic optical properties and photothermal conversion efficiency, showing promise in catalysis, photothermal therapy, and seawater desalination. However, the structure-property relationship governing their plasmonic optical properties remains unclear. Here, we constructed Au@TiN core-shell nanostructures and systematically investigated the tunability of their geometry, composition, and optical properties. By varying the Au core size and TiN shell thickness, we achieved precise control over the localized surface plasmon resonance (LSPR) from visible to near-infrared wavelengths. Single-particle scattering spectroscopy revealed distinct plasmon hybridization modes, with experimental spectra matching theoretical simulations. The Au@TiN nanostructures exhibited enhanced photothermal conversion efficiency (η = 78.5%) under 808 nm laser irradiation, significantly outperforming pure TiN nanoparticles (η = 45.2%). This work demonstrates multi-factor control over plasmonic effects in TiN, providing insights for designing TiN-based plasmonic nanomaterials for catalysis and sensing.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202509020

Effect of Three-Stage Reflux Ratio on the Performance of AAOA-MBR Process for Municipal Wastewater Treatment

The AAOA-MBR (anaerobic-anoxic-oxic-anoxic membrane bioreactor) process is widely used in municipal wastewater treatment, but its multi-stage internal recirculation complicates sludge retention time (SRT) and carbon source distribution. This study systematically regulated three reflux ratios (R1: membrane tank to oxic tank; R2: oxic tank to anoxic I tank; R3: anoxic II tank to anaerobic tank) in a pilot-scale system (0.24 m3·d−1) to reveal their effects on nutrient removal and membrane fouling. When R1:R2:R3 = 300%:200%:100%, effluent COD, TN, TP, and NH3-N met discharge standards. Reducing R1 and R2, thereby decreasing total reflux ratio from R=6 to R=3, shortened SRT, which suppressed nitrifier accumulation and increased effluent COD and TN, but decreased TP. High-throughput sequencing of anoxic I and oxic tanks showed that denitrifying bacteria (Thauera and Ottowia) relative abundances decreased from 0.68% to 0.42% and 0.51% to 0.24%, respectively, while the phosphorus-accumulating organism Candidatus_Accumulibacter increased from 0.78% to 1.12%, enhancing phosphorus removal. Additionally, lowering R1 to 200% caused sludge accumulation in the membrane tank, exacerbating membrane fouling. Thus, internal recirculation ratios must be adjusted based on influent characteristics to balance nutrient removal and membrane performance.

Journal of Fuel Chemistry and Technology2026DOI: 10.1016/S1872-5813(26)60654-8

Negative-Carbon Electrochemical CO2 Capture Technology Powered by Green Electricity

The declining costs of renewable energy are progressively improving the economic viability of employing electrochemical techniques for carbon dioxide capture. Electrochemical carbon capture (ECC) technology utilizes electrical energy to drive electrode reactions, enabling the selective separation of CO2. The vigorous development of ECC powered by renewable energy offers a promising alternative route to conventional carbon capture methods, overcoming limitations associated with thermally driven capture and release cycles. This approach provides a promising alternative route that is more efficient, flexible, scalable, low-energy-consuming and low-polluting for traditional carbon capture technologies. This review begins by introducing established, large-scale carbon capture technologies, such as pre-combustion capture, post-combustion capture, oxy-fuel combustion, adsorption, membrane separation and the calcium looping process. It then transitions to several rapidly developing ECC technologies, including electrochemically mediated amine regeneration (EMAR), pH-swing-mediated systems, and methods involving redox-active molecules. The pH-swing systems are further categorized into bipolar membrane electrodialysis (BMED), proton-coupled electron transfer (PCET), and membrane capacitive deionization (MCDI). For each method, the underlying principles, technological advancements, advantages, as well as current problems and challenges, are systematically elucidated. It is anticipated that with the widespread deployment of green electricity and persistent innovation in electrochemical materials, ECC technology will emerge as a highly efficient and low-carbon strategy, contributing significantly to the global goal of achieving carbon neutrality.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2025021903

Advances in Computational Simulation of Autoxidation Reactions of Atmospheric Peroxyalkyl Radicals

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.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202606001

Machine Learning-Based Prediction of Acidogenic Performance in Anaerobic Fermentation of Chemical-Biological Sewage Sludge

Municipal sludge anaerobic resource recovery efficiency in China lags behind developed countries. Widespread chemical phosphorus removal increases iron and aluminum salt precipitates in waste activated sludge, forming chemical-biological sludge that reduces acidogenic efficiency. This study identified key factors and developed a high-precision prediction model. Integrating literature and experimental data, acidogenic performance indicators under various conditions were compiled. Five machine learning models—Backpropagation Neural Network, Adaptive Neuro-Fuzzy Inference System, Support Vector Machine, K-Nearest Neighbors, and Random Forest—were systematically compared. Random Forest achieved the best predictive performance with a test set coefficient of determination (R²) of 0.9463, significantly outperforming others with minimal overfitting risk, demonstrating strong capability for high-dimensional, nonlinear, multi-factor coupled problems. Feature importance analysis revealed pH and Volatile Suspended Solids (VSS) as primary drivers, with aluminum salts exerting greater influence than iron salts. Engineering optimization should follow the pathway: 'adjust pH, stabilize organic matter, control aluminum salts'. This study provides an intelligent predictive tool and clarifies optimization directions, advancing precision and intelligent sludge treatment.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202511003

Research Progress on Combined Stress Effects of Secondary Water Pollution from Tailings Dam Leakage on Aquatic Organisms

Tailings dam leakage can cause secondary sudden water pollution events, imposing severe combined stress of high turbidity and heavy metal contamination on natural water bodies within a short period, threatening aquatic ecological security. Existing studies have systematically revealed the pollution characteristics and biological effects of such events, which are fundamentally distinct from natural high-turbidity water and industrial wastewater leakage. Compared with natural high-turbidity water, tailings leakage inputs finer particles with higher specific surface area, leading to more intense and prolonged turbidity stress. Meanwhile, heavy metals in tailings are more enriched than natural sediments, with higher proportions of active forms and bioavailability, causing significant bioaccumulation and toxic effects, and long-term decline in benthic community species richness. Compared with industrial wastewater leakage, tailings leakage simultaneously releases high concentrations of fine suspended solids and multiple heavy metals, forming a unique 'physical-chemical' combined stress. This synergistic effect amplifies biological toxicity through multiple pathways such as mechanical damage, light limitation, and oxidative stress, resulting in severe and often irreversible ecological damage, such as impaired fish swimming behavior and collapse of benthic community structure. Analyzing the long-term impacts of tailings leakage on aquatic ecosystems from the perspective of combined stress is helpful for providing scientific basis for emergency response and medium-to-long-term ecological risk prevention of related sudden water pollution events.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202503016

Microbial Mechanisms Underlying Soil Nutrient Availability in Vegetation Reconstruction of an Open-Pit Mining Area in Inner Mongolia

Open-pit coal mining severely damages soil and plant community structure and function, causing soil nutrient loss and ecological degradation. Vegetation reconstruction is a key measure for restoring degraded mining ecosystems, with the core challenge being the selection of suitable plant species and optimization of plant configurations. This study focused on the degraded ecosystem of the Baiyinhua open-pit mine in Inner Mongolia, screening native plant species for vegetation reconstruction experiments to investigate early-stage changes in soil nutrient availability and the underlying microbial mechanisms. Results showed that soil physicochemical properties and fungal community diversity exhibited strong adaptability during early reconstruction. However, soil fungal community composition and the relative abundance of saprotrophic fungi differed significantly among plant configurations. Leymus chinensis significantly increased the proportion of soil saprotrophic fungi from 67.28% in the control to 81.63%, while reducing the relative proportion of pathogenic fungi from 15.63% to 4.33%, demonstrating its potential to enhance soil health. Medicago rivularis improved soil microbial community composition and increased soil available phosphorus content, highlighting its capacity as an excellent pioneer species for optimizing soil nutrient availability. Furthermore, mixed sowing of grasses and legumes showed potential to enhance the nitrogen-fixing effect of legumes. Given the significant positive correlation between soil fungal community composition and total nitrogen and available nitrogen, the effects of different plant configurations on soil nutrient availability and biological health likely stem largely from the regulation of soil fungal community composition. In conclusion, achieving the goal of selecting optimal plant configurations still requires long-term continuous observation and analysis, particularly for optimizing configurations between high-quality grasses like Leymus chinensis and legumes.

Chinese Journal of Environmental Engineering2026DOI: 10.12030/j.cjee.202511020

Scenario Simulation and Case Study of Oil Spill Diffusion from Oil Pipelines Crossing Rivers

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.

Journal of Fuel Chemistry and Technology2026DOI: 10.1016/S1872-5813(26)60642-1

Influence Mechanism of Acidic Mineral Components on the Reaction Behavior of Ion-Exchangeable Calcium during Coal Pyrolysis

Inherent minerals significantly influence the thermal conversion of coal, yet the interaction mechanisms among minerals affecting tar generation during pyrolysis remain unclear. This study investigates the effect of acidic mineral components on the behavior of ion-exchangeable Ca2+ during coal pyrolysis. Coal samples were prepared via HCl and HCl-HF acid washing followed by Ca2+ ion exchange. Pyrolysis was conducted in a fixed-bed reactor. Acid washing effectively reduced ash content but also decreased organic element contents (carbon, hydrogen). Loading ion-exchangeable calcium enhanced the thermal weight loss rate in the 500–550 °C range, shifting the peak temperature from 530 °C to 514 °C. At a final pyrolysis temperature of 600 °C with slow heating, kaolinite in acidic minerals underwent dehydroxylation to form metakaolin. The content of small aromatic rings (<6 rings) in char from Ca-loaded coal was lower than that from acid-washed coal without Ca. Coexistence of acidic minerals with ion-exchangeable Ca increased aliphatic hydrocarbon content in tar: YL-HCl-Ca reached 21.98% versus 13.60% for YL-De-Ca. Acidic mineral components inhibit the adverse effect of ion-exchangeable Ca2+ on tar lightening. These findings provide insights into mineral interactions during pyrolysis, aiding in optimizing coal conversion processes for improved tar quality.

Journal of Fuel Chemistry and Technology2026DOI: 10.1016/S1872-5813(26)60683-4

A Computational Dataset for C1 Molecular Catalytic Conversion over Iron-Based Catalysts

The catalytic conversion of C1 molecules (e.g., CO, CO2) is pivotal for sustainable C1 chemistry and low-carbon transformation. A profound understanding of microscopic reaction mechanisms requires systematic theoretical and experimental data. This study constructs a computational dataset for C1 molecular catalytic conversion over iron-based catalysts, focusing on Fe5C2 and systematically integrating multidimensional information on adsorption, dissociation, and formation reactions across crystal surfaces (001, 111, 510). The dataset comprises 690 directories and 1961 files, including 96 configurations for Fe5C2(001), 93 for Fe5C2(111), and 472 for Fe5C2(510). It covers adsorbed states (e.g., COH, H2), dissociated states (e.g., CO under 2H conditions), and formation states (e.g., CH/CH3 under 2H and H2O conditions). A standardized hierarchical storage system categorizes reaction types, crystal surfaces, and structural parameters. This dataset serves as a benchmark for validating quantum chemical methods and provides critical data support for catalyst design and reaction pathway optimization by uncovering coupling effects of crystal surfaces and reaction mechanisms. The data are publicly available via DOI: 10.57760/sciencedb.34259.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3904-6

Calcium-free nanomaterials-mediated calcium overloading for cancer therapy

Disrupting calcium ions (Ca2+) homeostasis to induce calcium overloading has emerged as a promising strategy for cancer therapy. However, calcium overloading based on exogenous calcium salts (such as calcium carbonate and calcium peroxide) can easily lead to off-target Ca2+ release, causing severe side effects such as hypercalcemia and cardiac or renal dysfunction. This review explores the calcium-free nanomaterials for mediating targeted calcium dysregulation in tumors. These nanomaterials function not by carrying Ca2+ but by precisely regulating endogenous calcium signaling pathways. They promote massive Ca2+ influx through targeted activation of calcium channels and/or inhibit Ca2+ efflux by suppressing pumps, effectively triggering intracellular calcium accumulation. Such a strategy efficiently induces mitochondrial dysfunction, endoplasmic reticulum stress, and immunogenic cell death, thereby inhibiting tumor growth and metastasis while potentiating antitumor immunity. We systematically summarize the design principles, mechanisms of action, and therapeutic applications of these calcium-free nanoplatforms, highlighting their potential to overcome the limitations of traditional therapies and boost ion-interference-based cancer treatment.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3980-y

Cost-effective organic solar cells consisting of homogeneously passivated metal oxides

Organic solar cells (OSCs) have achieved power conversion efficiencies (PCEs) exceeding 20% in laboratory-scale devices, yet challenges persist in developing cost-effective charge-transporting materials (CTMs) that ensure high performance and long-term stability. Conventional organic CTMs such as PEDOT:PSS and PDINN suffer from thermal instability due to molecular diffusion and phase segregation. Solution-processed metal oxides (MOs) offer excellent stability and cost-effectiveness but are plagued by surface defects, particularly hydroxyl groups, which act as recombination centers and photocatalytic sites, degrading device interfaces. Here, we develop an organic-inorganic hybrid strategy to homogeneously passivate solution-processible semiconducting MOs. By first synthesizing MOs rich in surface hydroxyl groups and then introducing organic molecules, we achieve chemically homogeneous passivation that mitigates surface defects. This approach enables favorable interfacial energy level alignment, enhanced charge extraction, and tunable surface energy. Employing these passivated MOs as electron transport layers (ZnO) and hole transport layers (NiOx), we achieve a champion PCE of 20.22% for all-MO CTM-based OSCs, the highest reported to date. Scalability is demonstrated via ambient blade-coating, yielding 18.33% PCE for large-area cells (1.44 cm2) and 16.03% for modules (20.05 cm2), with material costs estimated at only 4% of organic counterparts. Furthermore, devices exhibit outstanding stability, retaining over 80% of initial PCE after 1300 h of maximum power point tracking and over 1000 h of thermal annealing at 85°C. This work establishes a new benchmark for cost-effective, high-performance organic photovoltaics.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3967-x

Phase Distribution Control in Thermally Evaporated Perovskite Films for Speckle-Free Laser Imaging

Metal-halide perovskites exhibit exceptional optical gain, narrow emission linewidths, and high emission efficiency, positioning them as promising candidates for next-generation lasers. Thermal evaporation, a mature semiconductor fabrication technique, offers scalability, yet monitoring phase distribution during deposition remains challenging. This study systematically investigates and regulates thermally evaporated FAxCs0.8PbBr3 perovskite films by tuning formamidinium (FA) content to optimize phase distribution. At intermediate FA content, films achieve a balanced distribution of n=2 to n=5 quantum-well phases, facilitating ultrafast carrier transfer (<0.31 ps) and suppressing nonradiative recombination. FA+ actively incorporates as an A-site cation, promoting ordered crystallization and reducing defect densities. The optimized films exhibit a net modal gain of 1041 cm−1 and a gain lifetime of 129 ps. Benefiting from efficient internal scattering, the threshold for cavity-free random lasing is reduced to below 5 μJ/cm2 at room temperature. The low spatial coherence of random lasing enables speckle-free imaging with a speckle contrast as low as 0.011 and improved contrast-to-noise ratios across all spatial frequencies. This work provides a scalable strategy for perovskite composition-phase engineering, advancing speckle-free laser imaging systems compatible with semiconductor-grade, large-area manufacturing.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3975-2

Metal-ligand redox assisted by strong Cu-O-Mn superexchange interaction in a prototype layered oxide cathode

The instability of oxygen redox activity in layered oxide cathodes, particularly the formation of localized electron holes on oxygen (O−) and subsequent anion dimerization, has been demonstrated to trigger rapid capacity degradation and severe voltage hysteresis. Our study primarily focuses on P3-type Na2/3Cu1/3Mn2/3O2, which demonstrates reversible oxygen redox with an exceptionally low voltage hysteresis of 0.05 V. Spectroscopic analyses demonstrate a reversible O2−→O− evolution in Na2/3Cu1/3Mn2/3O2 without O–O dimerization. Furthermore, Multilateral non-invasive magnetic methods reveal that strong Cu-O-Mn superexchange interactions during the metal-ligand redox process lead to delocalization of O− species and inhibition of irreversible O–O bonding, thereby enabling ultralow voltage hysteresis. This work establishes magnetic exchange engineering as a transformative strategy to unlock reversible oxygen redox in high-energy battery electrodes.

Environmental Chemistry2026DOI: 10.7524/j.issn.0254-6108.2026050701

Efficient Adsorption of Food Colorants onto Activated Carbon Derived from Haematococcus pluvialis Residue: Performance and Mechanism

Azo food colorants are persistent aquatic pollutants posing risks to ecosystems and human health. Utilizing biomass waste to produce low-cost activated carbon offers a sustainable strategy for their removal. In this study, activated carbon (HPR-AC) was synthesized from Haematococcus pluvialis residue via phosphoric acid activation, and its adsorption performance was evaluated using Sunset Yellow (SY), Ponceau 4R (P4R), and Tartrazine (TY) as model pollutants. The effects of solution pH, adsorbent dosage, initial dye concentration, and temperature on adsorption efficiency were systematically examined. Characterization by BET, FTIR, XRD, and XPS revealed that HPR-AC possesses a high specific surface area and an abundant mesoporous structure. The adsorption process was well described by the Langmuir isotherm and pseudo-second-order kinetic models, indicating monolayer chemisorption and an endothermic nature. At pH 5 and 55 °C, the maximum adsorption capacities reached 67.12, 79.72, and 72.75 mg·g−1 for SY, P4R, and TY, respectively. Statistical physics modeling further suggested a multilayer physical adsorption mechanism, primarily governed by pore filling, electrostatic interactions, hydrogen bonding, π-π stacking, and charge transfer. These findings provide both theoretical insights and empirical data for the valorization of H. pluvialis residue and the development of efficient, sustainable adsorbents for azo dye removal from water.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202608023

Water Leaching Dechlorination of Zinc-Containing Steel Dust Sludge

Zinc-containing steel dust sludge, a by-product of steelmaking, contains high levels of chlorine (Cl) along with valuable metals such as Fe, Zn, K, and Na. When recycled into the steel production process, Cl accumulates, causing sintering instability and severe corrosion of blast furnace linings. This study investigated water leaching for Cl removal from zinc-containing steel dust sludge. Under optimal conditions (liquid-to-solid ratio 5 mL/g, temperature 70 °C, time 60 min, rotation speed 160 r/min), the Cl leaching rate reached 87%. Furthermore, a three-stage countercurrent water washing process at a liquid-to-solid ratio of 6 mL/g and room temperature for 45 min achieved a Cl leaching rate exceeding 90%. The water washing also reduced the leaching toxicity of metals in the sludge to a certain extent. Characterization via XRD, SEM, FT-IR, and XPS revealed that water washing primarily dissolved soluble chlorides (NaCl, KCl, etc.), increasing the specific surface area from 2.71 to 10.11 m²/g and average pore size from 12.83 to 16.29 nm. These findings provide theoretical and technical support for efficient Cl removal from zinc-containing steel dust sludge, facilitating its safe resource utilization.

Journal of Environmental Engineering Technology2026DOI: 10.13205/j.hjgc.202608026

Nitrogen Mineralization Effects of Bacillus subtilis Combined with Straw Biochar in Dryland Soil

Biochar and microbial inoculants are widely used for agricultural soil amendment. To investigate the effects of different straw biochars and Bacillus subtilis inoculant, applied individually or combined, on nitrogen transformation in dryland soil, a 60-day laboratory incubation experiment was conducted with six treatments: control (CK), 4% rice straw biochar (S), 4% rapeseed straw biochar (Y), 4% rice straw biochar plus 5 mg/kg inoculant (SJ), 4% rapeseed straw biochar plus 5 mg/kg inoculant (YJ), and inoculant alone (J). Results showed that rice straw biochar significantly increased soil nitrate nitrogen content by 148.74%–152.68% compared to CK, enhancing nitrification. Combined application with inoculant further increased average net nitrogen mineralization rate by 77.28%–99.38%. Conversely, rapeseed straw biochar decreased nitrate nitrogen by 51.66%–57.61%, and combined application reduced net nitrogen mineralization rate by 82.07%–84.73%. Treatments S, Y, SJ, and YJ promoted microbial biomass nitrogen (MBN) synthesis, with S and Y increasing MBN by 2.02- and 2.20-fold over CK, respectively. Combined treatments further increased MBN by 103.26%–149.44% relative to single biochar treatments. These findings indicate that biochar type governs nitrification and net nitrogen mineralization, while combined application exerts synergistic effects on MBN. For comprehensive dryland soil improvement, YJ treatment is optimal, reducing inorganic nitrogen loss risk and enhancing microbial nitrogen activity.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3995-6

Pore-Engineering of Single-Site Ti(IV) Embedded Zr-MOFs for Enhanced Catalytic Hydroboration of Large-Size Carbonyl Substrates

The deployment of single-site metal catalytic nodes into zirconium-based metal-organic frameworks (Zr-MOFs) offers vast advantages in catalytic recyclability, product separation, and mechanistic analysis, underscoring their paramount significance in heterogeneous catalysis. Nonetheless, their occupation within pores/channels usually diminishes mass transfer and catalytic efficiency during reactions such as the hydroboration of carbonyl compounds, especially for bulkier substrates. To address this issue, three microporous single-site Ti(IV) embedded Zr-MOFs with sequentially extended ligand arms are novelly synthesized to enable precise pore modulation ranging from 9.04, 10.12, to 11.18 Å. The catalytic performance is investigated using eight carbonyl compounds of varying sizes and four additional larger-scale substrates, which demonstrates that the catalytic efficiency is increased through pore size regulation, yet still away from optimal catalytic performance. Then a further strategy was shifted to the linker installation of linear dicarboxylate ligands chelated single-site Ti(IV) within coordination-unsaturated windows of mesoporous Zr-MOFs, and the result elucidates that the obtained catalyst exhibits superior catalytic efficiency (all exceeding 90%) while preserving the inherent mesoporosity of Zr-MOFs with a pore size of approximately 21.73 Å. We believe this research provides critical guidance for future research on structural design and catalytic optimization of MOFs, opening new avenues in heterogeneous catalysis.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4021-5

Cross-relaxation engineering in Sb3+-sensitized Cs2NaLuCl6:Er3+ double perovskites enabling a record 45.3% EQE in NIR-II luminescence

Lead-free halide double perovskites have attracted significant attention owing to their eco-friendliness, structural tunability, and self-trapped exciton emission. Nevertheless, achieving efficient and stable near-infrared-II (NIR-II) luminescence, especially in materials incorporating lanthanide ions, remains a considerable challenge in photonics research. Herein, we report a notable advance in the design and synthesis of Sb3+-sensitized Cs2NaLuCl6:Er3+ double perovskite single crystals, which exhibit an unprecedented external quantum efficiency of 45.3% for emission at 1542 nm. Sb3+ acts as a broadband ultraviolet absorber and transfers energy to Er3+ via self-trapped exciton emission. Moreover, at high concentrations of Er3+, Er3+-Er3+ cross relaxation (2H11/2 + 4I15/2 → 4I9/2 + 4I13/2) selectively populates the NIR-emitting 4I13/2 state, suppressing competitive visible emission pathways. This synergistic host-sensitizer-activator design strategy, supported by density functional theory calculations, addresses long-standing efficiency limitations and opens new avenues for high-performance NIR-II emitters in bioimaging, night vision, and optical communications.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4082-6

Hydroxyl-driven p-π resonance in pyrene-based COFs realizes low-power and stable nonvolatile memory devices

High-performance nonvolatile memory devices are crucial for next-generation computing, yet achieving low-power, stable, and reproducible resistive switching remains challenging, primarily due to stochastic filament formation and limited precise control over the electronic properties of active materials. Herein, we employ a rational molecular engineering strategy to address these limitations by constructing a series of two-dimensional pyrene-based covalent organic frameworks (Py-COFs)—Py-H, Py-CH3, and Py-OH—via systematic substitution (–H, –CH3, and –OH) on the phenyl linkers to modulate backbone electronics. The electron-donating –CH3 and –OH motifs enrich the π-conjugated backbone with higher electron density, while the –OH moiety in Py-OH further engages in p-π conjugation with the benzene ring and forms intramolecular hydrogen bonds, thereby increasing framework rigidity, enhancing orbital overlap, and promoting charge delocalization. Enabled by these structural refinements, Py-OH-based devices exhibit markedly improved resistive switching behavior, characterized by a low operating voltage, an ON/OFF ratio of ~10^3.45, and excellent retention stability. Combined photophysical, electrochemical, and high-resolution TEM analyses corroborate that hydroxyl-driven p-π conjugation, hydrogen-bond reinforcement, and the emergent nanowire-like morphology synergistically suppress uncontrolled filament formation and promote efficient charge transport. These findings establish a clear structure-property correlation in functionalized Py-COFs and underscore their promise as tunable active layers for low-power, high-performance resistive memory and neuromorphic computing.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4009-0

Full-color high brightness Micro-LED displays with high bonding yield realized via photosensitive conductive polymeric bumps

Micro light-emitting diode (Micro-LED) display technology is a promising next-generation display technology due to its high brightness, high contrast, low power consumption, long life, and fast response. However, aggressive downscaling of Micro-LEDs to a few microns makes lift-off fabrication of metal bumps for soldered joints between Micro-LEDs and driver substrates increasingly difficult, challenging high-yield bump arrays under high-density conditions. This study innovatively replaces conventional metal bumps with a photosensitive conductive polymer (PCP), enabling fabrication of polymeric micro-bump arrays via well-established photolithography, bypassing complex lift-off processes and reducing short-circuit risk. Isopropyl alcohol regulates developer wettability for optimal development, yielding bump arrays with bump size 20 μm × 12 μm and height (1.9288 ± 0.0213) μm on thin-film transistor (TFT) drivers with yield over 99.99%. The issue of low bonding yield from polydimethylsiloxane (PDMS) thermal expansion was resolved by adjusting chip spacing on the temporary substrate, achieving bonding yield exceeding 99.8%. A 0.99-inch full-color Micro-LED display with density 114 pixels per inch (PPI) and brightness 5537 cd/m² was fabricated. High-yield bump arrays, Micro-LED arrays, and high bonding yield are highly reproducible, promoting development of Micro-LED displays and related fields.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4044-3

Covalent Organic Frameworks Functionalized with Thioether or Vinyl Groups for Efficient and Rapid Capture of Multiple Iodine Pollutants

Efficient sequestration of radioactive iodine species (I2, CH3I, I3−) is vital for nuclear safety and environmental protection. However, developing multifunctional adsorbents that remain effective under diverse conditions remains a significant challenge. Herein, we report two functionalized PD-COFs (PD-WS and PD-WY) with moderate crystallinity, outstanding thermal stability, and robust chemical resistance. They exhibit superior adsorption performance in both gas and liquid phases. Specifically, at 75°C, PD-WY achieves capacities of 4.88 g g−1 for I2, 1.55 g g−1 for CH3I, and 5.55 g g−1 for the I2/CH3I mixture, while high capacities are also retained at room temperature. In solution, PD-WY adsorbs up to 3.56 g g−1 of I3− in water and 2.00 g g−1 of iodine in cyclohexane. These COFs display rapid kinetics (K80% = 3.25 g g−1 h−1 for I2 and 7.89 g g−1 h−1 for I3−) and excellent selectivity. Mechanistic studies indicated that the excellent iodine affinity of PD-COFs arises from their rich electronic structures, abundant active sites, and charge transfer interactions. These findings position PD-COFs as highly promising adsorbents for nuclear waste treatment and environmental remediation.

SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-4077-0

Developing flexible BaTiO3-based ceramic memristors through entropy engineering

Flexible memristors are pivotal for advancing neuromorphic computing in wearable electronics, yet the intrinsic brittleness of inorganic oxides poses a critical challenge. Here, we employ an entropy-engineering strategy to control the amorphization of oxide compositions, yielding a precisely controlled crystalline/amorphous microstructure in a BaTi0.25Sn0.25Hf0.25Zr0.25O3 thin film. This film withstands bending angles up to 180°, enabling an Au/BaTi0.25Sn0.25Hf0.25Zr0.25O3/ITO/Mica device that functions as a memristor. Entropy engineering increases oxygen vacancy concentration, imparting stable resistive switching behavior under both flat and bent conditions. The device exhibits exceptional endurance and reproducibility over multiple bending cycles, demonstrating a significant strategy for advancing flexible memristor technologies and holding promise for next-generation high-performance flexible electronics.