SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4406-y
Covalent organic frameworks (COFs) are promising adsorbents for uranium extraction from complex aqueous environments due to their tunable pore structures and customizable functionalities. However, conventional bottom-up assembly routes yield frameworks with fixed dimensionality, where internal pores and buried functional sites remain inaccessible, limiting dynamic optimization for uranium capture. This study introduces a reversible coordination-directed clip-off strategy that enables dimensional programming of COFs through silver-nitrogen coordination bonds and thiosulfate/silver ion regulators. The approach allows controlled cleavage and reconstruction of coordination bonds, dynamically exposing hidden binding sites and adapting the framework to uranium extraction requirements. While the strategy demonstrates high-efficiency uranium extraction, it faces challenges including increased material and operating costs from silver-based regulators, potential structural fatigue from repeated cleavage-reconstruction cycles, and limited validation beyond laboratory scale. The reversible dimensional programming is generalizable to other reticular frameworks such as metal-organic frameworks (MOFs), enabling stimuli-responsive smart materials, controlled-release carriers, and adaptive separation membranes. Integration with machine learning and computational screening could accelerate rational design of functional active sites. This interdisciplinary approach offers a pathway toward intelligent, dimensionally morphing materials for energy and environmental sustainability, though optimization of regulating components and structural durability is required for practical scalability.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4347-9
Overcoming the intrinsic loading ceiling of oxide-supported single-atom catalysts remains a long-standing challenge, because oxide frameworks generally provide limited capacity for accommodating high densities of isolated metal species. Here, we report a hollow TiO2 nanoreactor that effectively addresses the long-standing loading limitation of oxide-supported catalysts by coupling high-capacity ion exchange with structural confinement. The multiscale framework is derived from a sodium titanate hollow flower-sphere assembled from ultrathin nanosheets. It enables broad accessibility of exchange sites and facilitates high Cu uptake prior to oxide formation. Subsequently, during Ar-assisted transformation into oxygen-vacancy-rich TiO2, the incorporated Cu species remain highly dispersed within the framework, while vacancy-mediated metal–support interactions further enhance their stability. As a result, controllable Cu speciation is achieved at ultrahigh loadings of 7.4 wt% as spatially isolated single atoms and 12.4 wt% as single-atom/subnanometer-cluster hybrids. The optimized hybrid catalyst delivers a hydrogen evolution rate of 28.8 mmol g−1 h−1 under simulated sunlight, surpassing conventional low-loading Cu/TiO2 systems under comparable conditions. This strategy is readily extendable to other transition metals (Fe, Co, and Ni), establishing a structural design principle for constructing high-density and speciation-controlled metal sites on oxide supports.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4324-4
Magnesium-oxygen (Mg-O2) batteries offer high theoretical energy density and low-cost earth-abundant magnesium, yet practical deployment has been impeded by poor cycling stability and low energy efficiency, primarily due to the sluggish decomposition of conventional MgOx discharge products. Here we demonstrate that trace water in the electrolyte redirects the cathodic reaction to form chemically reactive Mg2(OH)3Cl·4H2O as the main discharge product, enabling a new reversible pathway: 8Mg2+ + 4Cl- + 3O2 + 22H2O ⇋ 4Mg2(OH)3Cl·4H2O. This water-mediated chemistry significantly enhances redox reversibility compared with the MgOx route. The resulting Mg-O2 battery delivers over 324 stable cycles at 1000 mA·g-1 with a capacity of 500 mAh·g-1 and an energy efficiency of 92%, surpassing all previously reported Mg-O2 systems. The electrolyte comprises 0.25 M magnesium bis(trifluoromethanesulfonyl)imide (Mg(TFSI)2) and 0.5 M magnesium chloride (MgCl2) in ethylene glycol dimethyl ether (DME) with a trace amount of water. These findings establish a general strategy for reversible Mg-O2 electrochemistry and provide a new design paradigm for practical magnesium-based energy storage.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4339-7
Neuromorphic computing demands energy-efficient synaptic devices that emulate biological plasticity. Optoelectronic memristors based on colloidal quantum dots (QDs) offer tunable bandgaps and solution processability, yet suffer from defect-mediated nonradiative recombination and instability. Here, we report ZnS-passivated CdZnSe core/shell QDs as the active layer in memristive devices, achieving enhanced synaptic emulation and information encryption. Time-resolved photoluminescence (TRPL) decay curves were fitted with a tri-exponential function, revealing that ZnS passivation suppresses defect-related trap states, prolonging the average carrier lifetime from 12.3 ns (CdZnSe) to 28.7 ns (CdZnSe/ZnS). The intensity proportion of the fast decay component (τ1 ≈ 1.2 ns) decreased from 45% to 18%, indicating reduced surface trapping. Devices incorporating CdZnSe/ZnS QDs exhibit stable bipolar resistive switching with an ON/OFF ratio exceeding 10^3, endurance of >10^3 cycles, and retention of >10^4 s. Under 365 nm UV illumination, the devices show light-tunable synaptic plasticity, including paired-pulse facilitation (PPF) with a facilitation index of 180% at a 50 ms interval, and transition from short-term to long-term memory. The memristors successfully emulate essential synaptic functions and are employed in a simple encryption scheme, demonstrating the potential of defect-passivated QDs for secure neuromorphic hardware.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4113-3
Constructing abundant grain boundary defects is a promising strategy for developing high-efficiency catalysts. However, achieving dense grain boundary defects in CuO and Cu at the nanoscale remains challenging. Inspired by Turing patterns in nature, a Turing-type CuO catalyst (TGB-CuO) with abundant grain boundaries at ~10 nm nanoscale was prepared by annealing a dodecyl sulfate-intercalated basic copper carbonate. The balanced diffusion-reaction dynamics during pyrolysis drove the spontaneous formation of Turing-type grain boundary architectures in TGB-CuO. The resulting TGB-CuO electrode exhibited outstanding performance in electrochemical CO2 reduction (ECO2RR), delivering a Faradaic efficiency of 80.15% toward multi-carbon (C2+) products and maintaining over 50% ethylene selectivity at 300 mA cm−2 for 30 h of continuous operation. Activity investigations indicated that the metallic Cu retaining Turing-type grain boundary features (TGB-Cu) formed during electroreduction was responsible for the enhanced ECO2RR performance. The Cu(100)/(100), Cu(100)/(111), and Cu(111)/(111) grain boundaries promoted CO2 activation and *CO adsorption, while lowering the free energy barriers for the rate-determining *CO2− → *COOH step and C–C coupling step. This bioinspired reaction-diffusion strategy offers a new paradigm for creating high-density grain boundary defects, offering a general route toward efficient catalyst design.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3625-3
Zirconia (ZrO2)-based fluorite ferroelectric materials are promising for nonvolatile memory and logic devices due to their CMOS compatibility and cost advantages over hafnium oxide (HfO2). However, the metastable nature of the ferroelectric orthorhombic phase (o-phase) hinders practical application. Here, we report the strain-mediated stabilization of the ferroelectric o-phase in ZrO2 thin films grown on niobium-doped strontium titanate (NSTO) substrates with different crystallographic orientations via chemical solution deposition. Systematic structural and ferroelectric characterization, combined with simulation, reveals that substrate orientation controls in-plane tensile strain, selectively promoting epitaxial growth of the o-phase. The ZrO2 film on NSTO(110) exhibits the highest o-phase content, achieving a remanent polarization (2Pr) of 92.64 μC/cm², which remains as high as 88.54 μC/cm² after resistive-capacitive (RC) delay calibration. The device shows endurance of approximately 10^7 cycles with favorable fatigue characteristics. X-ray absorption spectroscopy (XAS) further indicates distortion of Zr-O tetrahedra, providing microscopic insight into the ferroelectricity. This work presents a novel strategy for property tuning of ZrO2 films and supports their application in storage and logic devices.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3805-1
The sluggish kinetics of oxygen reduction and evolution reactions (ORR/OER) at the air electrode impede the practical deployment of fiber zinc-air batteries (FZABs) for wearable electronics. Conventional bifunctional catalysts suffer from an inherent activity trade-off due to the distinct mechanisms of ORR and OER. Here, we propose a spatial decoupling strategy to overcome this limitation by engineering isolated Fe single atoms and Fe–Ir dual-atom pairs on a nitrogen-doped carbon matrix (Fe/FeIr-NC). In this architecture, Fe single atoms serve as ORR centers, while Fe–Ir pairs with tunable spacing are tailored for OER, enabling complete functional separation and independent optimization. The catalyst exhibits an ORR half-wave potential of 0.91 V and an OER overpotential of 250 mV at 10 mA cm−2, yielding a record-low bifunctional gap (ΔE = 0.57 V) that outperforms all reported single- and dual-atom catalysts. A flexible fiber zinc-air battery based on this catalyst delivers a peak power density of 3920 W kg−1, along with a 1.4-fold increase in energy efficiency and a 2.6-fold extension in cycle life compared to the commercial Pt/C + IrO2 benchmark. This work not only breaks the traditional activity trade-off in bifunctional catalysis but also offers a promising route toward high-performance power sources for wearable electronics.
Chinese Journal of Environmental Engineering•2026•DOI: 10.12030/j.cjee.202506020
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.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604023
Fly ash, a byproduct of coal combustion, poses severe environmental challenges. This study synthesizes A- and H-type zeolites from fly ash via hydrothermal treatment and evaluates their adsorption performance for low-concentration acidic gases (SO2, CO2, NO) at 1000 mg/m3. The zeolites exhibited pore sizes of 3–5 nm, with specific surface areas of 18.59 m2/g (A-type) and 22.32 m2/g (H-type). At 20 °C, A-type zeolite achieved maximum saturated adsorption capacities of 1.07 mmol/g for SO2, 0.26 mmol/g for CO2, and 0.048 mmol/g for NO; H-type zeolite showed higher capacities: 1.12, 0.29, and 0.053 mmol/g, respectively. In-situ DRIFTS revealed that T–O (T=Si/Al) groups serve as key active sites, with adsorption energies for A-type zeolite calculated as -5.11 kJ/mol (SO2), -4.07 kJ/mol (CO2), and -1.41 kJ/mol (NO). Kinetic analysis indicated conformity to the Arrhenius equation. The results demonstrate that fly ash-based zeolites are promising adsorbents for acidic gas removal, with H-type outperforming A-type due to larger surface area and more silanol sites. This work provides a theoretical basis for utilizing fly ash in gas purification, contributing to the circular economy.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3833-1
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.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3963-5
Metal additive manufacturing (MAM) enables integrated one-piece fabrication of parts, high material utilization efficiency, and unparalleled design freedom. However, problems such as low production efficiency, difficulties in ensuring quality stability and defect control limit the large-scale industrial application of AM. In-situ active modulation for AM enables dynamic regulation of parts during the fabrication process, thereby enhancing the quality of the final fabricated parts without introducing extra processing steps. In-situ active regulation enables direct intervention during defect nucleation, providing better effectiveness than post-printing repairs while avoiding performance degradation risks associated with post-processing. Based on the difference of core factors directly affected during regulation, in-situ active regulation is categorized into the following. (1) Process and path parameter optimization, where regulation directly impacts manufacturing-related procedural rules. It is the simplest method of control and the preferred approach, with widespread attention focused on its effects on microstructure and mechanical properties. (2) Laser beam shaping, where regulation directly influences the energy carrier morphology. To address issues such as edge over-melting and localized energy deficiency caused by non-uniform energy distribution, laser beam shaping should be employed. (3) Additional physical field modulation achieved by superimposing supplementary physical fields. When optimal process and path parameters still fail to obtain the desired microstructure and mechanical properties, additional physical field control may be considered. Meanwhile, this work summarized the effects of different additional physical fields on the mechanical properties of various metallic base materials. The future trends of in-situ modulation in additive manufacturing are also discussed.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4178-y
Rational design of metal–nitrogen–carbon (M–N–C) single-atom catalysts (SACs) for selective CO2 electroreduction is still largely guided by first-shell coordination engineering, while the catalytic impact of the surrounding non-coordinated “second-shell” microenvironment remains underexplored. Here, we show that tailoring the peripheral nitrogen microenvironment can decisively switch product selectivity in Cu-based SACs, even with an identical Cu–N4 first-shell motif. Using a polymer coordination strategy, pyrrolic-N–regulated Cu–Npr–C and pyridinic-N–regulated Cu–Npy–C exhibit strikingly divergent behaviors: Cu–Npr–C selectively produces formate with 72.6% Faradaic efficiency (FE) at −0.7 V vs. RHE and sustains >67% FE over 10 h, whereas Cu–Npy–C predominantly drives H2 evolution (up to 69% FE). In situ attenuated total reflection surface enhanced infrared spectroscopy captures an earlier emergence of the key HCOO* intermediate on Cu–Npr–C, evidencing accelerated formate-pathway kinetics enabled by the pyrrolic microenvironment. Density functional theory calculations further support that pyrrolic second-shell regulation promotes the O-bound formate route while disfavoring hydrogen adsorption, whereas the pyridinic microenvironment renders H adsorption more competitive and biases the reaction toward hydrogen evolution reaction. Extending this second-shell strategy to Ni SACs confirms its generality: Ni–Npy–C achieves 96.8% CO selectivity, while Ni–Npr–C shows mixed CO/H2 production. This work establishes second-shell microenvironment regulation as a general and actionable design principle for steering selectivity in M–N–C SACs toward targeted CO2 reduction products.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025031105
Colloids significantly influence contaminant transport in groundwater, yet their behavior under varying hydrochemical conditions remains inadequately characterized. This study employed quartz sand as a surrogate porous medium to investigate colloid transport through column experiments under controlled pH and ionic strength (IS). Breakthrough curves (BTCs) were obtained for a conservative tracer and for colloids under nine combinations of pH (5, 7, 9) and IS (1, 5, 10 mmol·L−1). Hydrus-1D, incorporating a two-site kinetic sorption model, was used to simulate colloid transport and derive key parameters: attachment rate (k1a), detachment rate (k1d), straining rate (k2a), and maximum retained concentration on site 2 (Smax2). Results demonstrated that increasing pH and decreasing IS enhanced colloid mobility. Specifically, at IS = 1 mmol·L−1, normalized peak concentrations (C/C0) were 0.33, 0.40, and 0.72 for pH 5, 7, and 9, respectively. At pH = 7, C/C0 decreased from 0.40 to 0.18 and 0.12 as IS increased from 1 to 5 and 10 mmol·L−1. The fitted transport parameters accurately captured these trends, with R² ≥ 0.95 across all conditions. Mechanistically, higher pH increases negative surface charge and electrostatic repulsion, while higher IS compresses the double layer and reduces repulsion, thereby inhibiting transport. These findings provide quantitative insights for predicting colloid-facilitated contaminant migration in subsurface environments.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4073-2
Precise control of molecular orientation in nonfullerene acceptors is crucial yet challenging for achieving both high efficiency and long-term stability in organic solar cells (OSCs). Here, we report a molecular dimerization strategy to regulate orientation and charge-transport anisotropy in ambipolar M-series acceptors. Using the edge-on-oriented small-molecule acceptor MC16 as a model, dimerization into DMC16 effectively suppresses over-aggregation and molecular diffusion while inducing a predominant face-on packing orientation. This orientation transition reverses the transport anisotropy from lateral to vertical directions, enabling balanced ambipolar charge transport and efficient carrier extraction. Consequently, DMC16-based OSCs exhibit a markedly enhanced power conversion efficiency together with outstanding thermal stability, retaining 94% of the initial efficiency after 1800 h at 85 °C and 74% after an additional 1000 h at 120 °C. When introduced as a third component in PM6:M36 ternary blends, DMC16 further optimizes blend morphology and stability, delivering an efficiency of 19.04% and over 15% in 10.15 cm2 modules. These results demonstrate that dimerization-induced molecular orientation control provides an effective pathway to simultaneously enhance efficiency, stability, and scalability in OSCs.