SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4412-y
GeTe-based thermoelectric materials are promising lead-free alternatives to PbTe, but their intrinsically high Ge vacancy concentration (~10^21 cm^-3) leads to excessive carrier density and degraded Seebeck coefficient. This study integrates resonant levels (RLs) via In doping and local van der Waals gaps via Sb/Bi alloying to decouple electron and phonon transport. The optimal composition Ge0.91Sb0.04Bi0.04In0.01Te exhibits a Seebeck coefficient of ~287.31 μV K^-1 at 323 K, more than double that of the In-free sample (~102.28 μV K^-1). The peak figure of merit zT reaches ~1.8 at 723 K, with an average zT of ~1.0 over 323–723 K. Vickers hardness is enhanced to ~224 HV, a ~93% improvement over pristine GeTe (~116 HV). X-ray diffraction reveals a structural evolution toward a pseudo-cubic phase with increasing In content, and the (202) peak shifts to lower angles, indicating lattice expansion. These results demonstrate that synergistic RLs and van der Waals gaps effectively optimize carrier concentration and suppress thermal conductivity, offering a viable route for high-performance, mechanically robust GeTe thermoelectrics.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4349-9
Sodium metal batteries are promising for large-scale energy storage due to sodium's abundance and low cost, but their commercialization is hindered by dendrite growth and low utilization of sodium metal anodes. Here, we report a yolk-shell structure with gold nanoparticles (Au NPs) confined in hollow carbon nanospheres (Au@HCN) as a robust seeding/hosting interphase. The encapsulation isolates Au NPs from direct electrolyte contact, mitigating parasitic reactions, while the void space accommodates volume changes during alloying. Notably, electrochemical testing reveals that Au NPs undergo alloying-induced amorphization upon sodiation, forming a Na-Au amorphous alloy that enhances sodiophilicity and ensures uniform Na nucleation. This amorphous phase, confirmed by ex situ X-ray absorption spectroscopy and transmission electron microscopy, reduces nucleation overpotential and promotes dendrite-free deposition. The Au@HCN electrode achieves a high Coulombic efficiency of 99.8% over 500 cycles at 1 mA cm−2 and a long cycle life of over 2000 hours at 0.5 mA cm−2 in symmetric cells. Full cells paired with Na3V2(PO4)3 cathodes deliver a specific capacity of 105 mAh g−1 with 92% retention after 500 cycles. This work provides a rational design for stable sodium metal anodes through encapsulation and alloying-induced amorphization, offering a pathway for practical sodium metal batteries.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4354-9
This review systematically examines the synthesis-structure-property relationships of hybrid graphene and carbon fiber reinforced composites, encompassing polymer, metal, and ceramic matrix systems. The hybridization of graphene with carbon fibers addresses the intrinsic limitations of conventional composites, such as weak interfacial bonding and insufficient multifunctionality. The review consolidates recent advances in fabrication strategies, including electrophoretic deposition, layer-by-layer assembly, and precursor impregnation, which enable controlled graphene distribution and orientation. Critical analyses of mechanical, tribological, electrochemical, and anti-ablation properties reveal that graphene addition significantly enhances interfacial shear strength, thermal stability, and electrical conductivity. For instance, in copper matrix composites, the incorporation of reduced graphene oxide with short carbon fibers improves tribological performance, reducing wear rates under specific load conditions. In ceramic matrix composites, graphene-modified C/C-SiC composites exhibit superior anti-ablation resistance, with mass loss rates reduced by up to 30% at elevated temperatures. Furthermore, graphene-coated carbon fiber electrodes demonstrate high specific capacitance and cycling stability in energy storage applications. The review also addresses challenges such as dispersion uniformity, scalability, and cost-effectiveness, proposing future directions for industrial adoption. By providing a comprehensive framework, this work guides the design of next-generation hybrid composites tailored for aerospace, automotive, and energy storage sectors.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4292-4
The vast compositional space of high-entropy materials presents a fundamental challenge for catalyst discovery. Considering 21 candidate elements at a 1% atomic resolution, this combinatorial explosion exceeds 10 billion (>10^10) possibilities, rendering direct experimental exploration impractical. Furthermore, purely data-driven approaches often struggle to comprehend the intrinsic chemical roles of discrete elemental identities, yet they excel at mapping continuous concentration gradients. Recognizing this distinction, we transform this combinatorial explosion into a targeted optimization problem by decoupling elemental selection from compositional ratio refinement. Ultrafast carbon thermal shock (CTS) is first employed to screen viable elemental combinations and establish an optimal quinary framework. Machine learning (ML) is subsequently applied to optimize compositional ratios within this reduced space, where statistical modeling efficiently navigates the remaining high-dimensional landscape. Targeting the oxygen evolution reaction (OER) as a proof-of-concept, our hybrid framework pruned the search space from over 10^10 possible compositions down into 13 systems, ultimately identifying high-entropy oxide (HEO)-Fe17.57Co28.45Ni31.27Mo10.57Zr12.14 as the optimal catalyst. The optimized high-entropy oxide exhibits an overpotential of 240 mV at 10 mA cm−2 and sustains stable operation at 1 A cm−2 for over 600 h in 1 M KOH. Mechanistic analysis reveals that Mo electronically tunes oxygen-intermediate adsorption, while Zr enhances structural robustness, collectively enabling high activity and durability. This work demonstrates that bridging discrete physical screening with continuous data-driven optimization provides an efficient and generalizable pathway for navigating high-dimensional material frontiers.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(25)60581-0
Lignin-derived oxygenated aromatics, particularly phenols and aromatic ethers, are promising feedstocks for synthesizing high-density, high-heat-sink aviation fuels via alkylation-hydrogenation processes. This study systematically evaluates the catalytic performance of various zeolites (Hβ, HZSM-5, MCM-41, and HUSY) in the alkylation of phenol with cyclohexanol. Characterization demonstrates that HUSY zeolite exhibits superior catalytic activity due to its favorable pore architecture and well-balanced acid site distribution, which synergistically facilitate molecular diffusion and catalytic transformations. To further enhance catalytic properties, HUSY was modified with citric acid at various concentrations and compared with NaOH and oxalic acid treatments. Results reveal that citric acid treatment preserves crystallinity while modulating acidity and pore structure. All modified zeolites enhance phenol alkylation activity. Notably, HUSY-0.5M, exhibiting the highest medium-strong acid to total acid ratio, achieves superior performance: 80.4% phenol conversion and 99.6% selectivity for alkylation products. The catalyst also shows high activity for various lignin-derived compounds (p-cresol, anisole, guaiacol), demonstrating broad applicability. This work provides a new strategy for valorizing lignin-derived phenols into high-value fuel precursors through alkylation.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024083002
Selenium (Se) is an essential trace element for human health, and dietary intake through Se-rich crops is the primary route. However, total soil Se content does not directly reflect the bioavailability to plants, which depends largely on soil available Se. This study, conducted in Shipai Town, Longshan County, Hunan Province, used 1:50,000 land quality geochemical survey data to investigate factors influencing the Se bioaccumulation coefficient in maize kernels. Soil pH, CaO, and MgO were identified as significantly positively correlated with the bioaccumulation coefficient and were selected as proxies for soil available Se. A random forest (RF) model was developed to predict maize grain Se content and assess the feasibility of cultivating Se-rich maize in low-Se farmland. Results showed that although soil Se was deficient, 53.64% of maize grain samples met the Se-rich product standard (0.02–0.30 mg·kg−1). Compared with multiple linear regression, the RF model exhibited higher accuracy and reliability. The RF model predicted that 40.91% of farmland in the study area is suitable for natural Se-rich maize cultivation, representing a 25.86% increase over the area identified by soil total Se alone. This study provides a novel methodological framework for planting natural Se-rich maize in Se-deficient regions, validating the potential for such cultivation.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202604003
Emerging contaminants (ECs) in wastewater from urban transportation infrastructure remain poorly characterized. This study employed high-resolution mass spectrometry (HRMS)-based non-target screening to systematically identify the composition and spatial distribution of ECs in wastewater from three functional zones of a metro maintenance depot: storeroom (S1), office/residential area (S2), and final discharge outlet (S3). A total of 417 contaminants were detected, spanning eight categories including industrial materials, pharmaceuticals, pesticides, and natural products. Among these, 48 substances were identified with Level 1 confidence via spectral matching. Pesticides exhibited the highest detection frequency and concentration levels, representing the primary contaminant load. Semi-quantitative concentration heatmaps of 24 pesticides revealed significant spatial variation: S2 showed the highest number and concentration of contaminants, reflecting inputs from landscaping and vector control; S1 and S3 showed lower levels, indicating dilution, migration, and attenuation. Representative pesticide bifenox displayed a clear concentration gradient (S2 > S1 > S3), suggesting transport mechanisms such as surface runoff, hydraulic transfer, and sorption. These findings underscore the complexity and diversity of EC sources in metro depot wastewater, highlight the need to prioritize pesticides in regulatory management, and provide fundamental data for understanding EC environmental behavior and informing water environment risk assessment.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3927-9
The mechanical properties of as-cast TiAl alloys are severely limited by their coarse as-cast microstructure. This study proposes a low-temperature pre-deformation heat treatment to refine the microstructure of an as-cast Ti-47Al-2Nb-2Cr alloy. The process involves pre-deformation below the eutectoid temperature followed by heat treatment in the α+γ phase field, yielding two distinct microstructures: duplex (DP) and nearly lamellar (NL). The average lamellar colony size was reduced to 5.3% and 20% of the as-cast size for DP and NL structures, respectively. Microstructural evolution analysis reveals that the decomposition of coarse lamellar colonies and the formation of fine grains are governed by γ recrystallization, γ→α phase transformation, and α recrystallization. Remnant colonies after deformation are completely eliminated by subsequent heat treatment, enhancing microstructural homogeneity and mechanical properties. The DP alloy exhibits an ultimate tensile strength (UTS) of 537 MPa and an elongation (EI) of 6.8% at 800°C, representing increases of 44.7% and 518.2% over the as-cast alloy, respectively. Analysis of crack propagation and deformation mechanisms indicates that grain refinement and lamellar structure refinement contribute to improved deformation ability. This work provides a viable pathway for optimizing as-cast TiAl alloys for high-temperature applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3798-x
Ulcerative colitis (UC) is a chronic inflammatory disorder of the colorectal mucosa, where conventional enema therapies suffer from poor retention and limited inflammation modulation. Here, we report a highly fluid probiotic-containing enema solution (s-BSA-Fe+EcN) integrating bovine serum albumin (BSA), Fe2+, and probiotic Escherichia coli Nissle 1917 (EcN). The solution's high fluidity enables comprehensive coverage of irregular colorectal mucosa. Upon encountering reactive oxygen species (ROS)-rich inflamed lesions, Fe2+ mediates H2O2 scavenging and hydroxyl radical generation, triggering BSA crosslinking and in situ gelation into a conformal hydrogel (h-BSA-Fe+EcN). This targeted adhesion mitigates oxidative damage to host tissues and preserves probiotic viability. In a porcine model, endoscopic imaging confirmed inflammation-targeted gelation in vivo. In a dextran sulfate sodium-induced mouse colitis model, h-BSA-Fe+EcN demonstrated excellent therapeutic efficacy, reducing disease activity index and restoring colonic architecture. This strategy addresses the dual challenges of fluid perfusion and rapid ROS-responsive gelation, offering an advanced transanal treatment for UC.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3916-3
Circularly polarized light (CPL) detection is critical to emerging technologies in optical communication, chiral sensing, and bio-inspired imaging. However, current devices rely on intrinsically chiral semiconductors that are synthetically complex and costly to scale. Here, we demonstrate robust CPL detection in achiral organic semiconductors by exploiting chiral plasmonic resonance (CPR). A self-assembled monolayer of L-phenylalanine–modified gold nanoparticles imparts optical chirality to adjacent semiconductors while enhancing photocurrent through plasmon-induced hot-carrier processes. The resulting hybrid devices exhibit nearly tenfold responsivity enhancement and a high dissymmetry factor of 0.35 at 515 nm. Mechanistic analysis reveals a field-driven, hot-carrier-assisted route to helicity sensitivity. This solution-processable approach merges plasmonic chirality with organic semiconductor versatility, providing a scalable platform for next-generation on-chip chiroptoelectronic and polarization-imaging technologies.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025042203
Cadmium (Cd) accumulation in crops is influenced by complex, crop-specific factors, posing challenges for the safe utilization of soils with elevated Cd levels. This study focused on a region with anomalously high soil Cd in northern Longshan County, Hunan Province, China. We systematically collected and analyzed Cd concentrations in the edible parts of lily (Lilium spp.) and maize (Zea mays L.), along with corresponding root-zone soil properties including Cd content, pH, and oxide levels. The bioconcentration factors (BCF-Cd) for lily and maize were compared, and their controlling factors were identified. Using random forest with hyperparameter optimization, optimal predictive models for BCF-Cd were developed for each crop. Results showed that lily BCF-Cd was significantly higher than that of maize. Key factors influencing BCF-Cd in both crops included soil pH, manganese (Mn), organic matter (OM), and the weathering-leaching coefficient (ba). Feature importance analysis identified soil pH as the most critical factor. Based on model predictions, a zoning scheme for safe arable land utilization was proposed to maximize land productivity while ensuring the medicinal safety of lily and food safety of maize. This study provides scientific support for enhancing food security and optimizing land resource use.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4088-y
Silicon nitride (Si3N4) is a strong, thermally stable covalent ceramic typically regarded as brittle with limited deformability. Recent experimental and density functional theory (DFT) studies indicate that the α/β interface undergoes a β→α transformation via sliding followed by bond-switching, suggesting a pathway to achieve plasticity, but DFT's spatiotemporal reach prevents a full mechanistic picture. Here, we develop a physics-informed high-accuracy neural network interatomic potential (NNAP) model with DFT-level accuracy for phase transformations and use it to perform large-scale atomistic simulations. NNAP-guided simulations show that structural relaxation during relative sliding between α- and β-phases at the interface triggers pronounced atomic-layer rearrangements and lowers the energy barrier by nearly 60%. We further find that the ensuing phase transformation does not proceed by isolated layer-by-layer switching but instead follows in-plane nucleation and growth mediated by a bilayer cooperative mechanism, which further reduces kinetic barriers and facilitates the transformation. CI-NEB calculations reveal that the bilayer cooperative pathway has an energy barrier of 0.018 eV/Ų, lower than the independent layer-by-layer manner (0.020 eV/Ų), indicating enhanced kinetic accessibility. These results provide new atomistic insights into interface-driven phase transformations in dual-phase Si3N4 and offer guidance for designing more deformable covalent ceramics.