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/s40843-026-4180-9
Developing highly active and stable electrocatalysts based on the lattice oxygen mechanism (LOM) for the oxygen evolution reaction (OER) represents a significant challenge in water splitting. Herein, we successfully introduce oxygen vacancies (Ov) into high-entropy MnFeCoNiCu layered double hydroxides (HE-LDHs) via a solution chemical reduction method utilizing a defect engineering strategy. By precisely tuning the concentration of oxygen vacancies, we effectively activate the lattice oxygen within the HE-LDHs. The optimized Ov-rich high-entropy LDHs (Ov-HE-LDHs) exhibit excellent OER catalytic performance, achieving a current density of 10 mA cm−2 with a remarkably low overpotential of only 210 mV in 1.0 M KOH electrolyte, which is substantially superior to pristine HE-LDHs (315 mV) and commercial IrO2 (330 mV). Furthermore, the catalyst demonstrates outstanding long-term stability, capable of stable operation for 500 h at a high current density of approximately 200 mA cm−2. Advanced X-ray absorption fine structure analysis elucidates the lower metal valence states, indicating the existence of oxygen vacancies, while isotope labeling experiments and in-situ electrochemical Raman spectroscopy strongly confirm the successful activation of the LOM pathway. Density functional theory calculations further validate that the shift in the OER mechanism towards LOM and the resulting reduction in the reaction energy barrier are the fundamental reasons for the catalyst’s enhanced intrinsic activity. This work proposes a novel strategy for activating lattice oxygen in high-entropy LDHs through defect engineering, offering new insights and experimental guidance for the design and development of highly efficient and stable high-entropy OER electrocatalysts.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3558-4
The development of advanced titanium alloys capable of operating above 600 °C remains a critical challenge for aerospace propulsion systems, where conventional Ti alloys suffer from insufficient high-temperature strength and microstructural instability. Here, we propose a computationally driven design strategy for titanium-based medium-entropy alloys (MEAs) that integrates thermodynamic phase prediction with mechanistically informed strength modeling, enabling systematic exploration of the Ti-Nb-Al-Cr quaternary system. The optimized Ti70Nb10Al15Cr5 MEA exhibits exceptional performance metrics: 18% room-temperature ductility (as-cast), a yield strength of 520.7 MPa at 650 °C (post-aging), and an ultralow density of 4.76 g/cm3 (45% lighter than Inconel 718). Microstructural characterization reveals a metastable single-phase BCC structure in the as-cast state, which transforms into a BCC/Ti3Al dual-phase system upon aging, with temperature-dependent precipitate morphology and phase stability. The alloy demonstrates superior high-temperature strength retention up to 900 °C (>80 MPa yield strength), outperforming commercial titanium alloys (e.g., Ti-1100, TG6) and bridging the performance gap between conventional Ti alloys and nickel-based superalloys. This work establishes a multi-criteria design paradigm for entropy-engineered alloys, offering a viable pathway to lightweight, high-temperature structural materials for next-generation aerospace applications.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3683-y
Effective management of traumatic hemorrhage requires rapid blood loss control and facile removal of hemostatic materials to minimize secondary tissue damage. We fabricated a strongly adhesive aerogel (OPA) via Schiff-base crosslinking of oxidized hyaluronic acid (OHA) and ε-polylysine (ε-PL), enabling rapid hemostasis in lethal arterial trauma and on-demand removal via phase transition. OPAs exhibited tunable porosity and rapid blood absorption. Surface hydroxyl, amino, and carboxyl groups promoted strong hydrogen bonding with tissues, blood cells, and plasma proteins, enhancing tissue adhesion and platelet capture/activation. In a rabbit femoral-artery-injury model, OPA4 shortened hemostatic time by ~80% and reduced blood loss to 38% of the blank group. Notably, OPAs retained only 2% of initial adhesion after hydration, allowing gentle removal. OPAs also demonstrated excellent antibacterial activity, biocompatibility, and biodegradability. The simple one-step freeze-drying process and tailorable shapes offer scalable production and versatile applications. This study provides a versatile strategy for emergency and surgical hemostasis, combining rapid control of life-threatening arterial bleeding with on-demand atraumatic removal, promising improved patient outcomes and streamlined postoperative care.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024110703
Urban river ecosystems are increasingly threatened by anthropogenic activities, necessitating comprehensive health assessments beyond conventional water quality metrics. This study evaluates the ecological health of the Zhongshan South Road reach in Wuhu, China, by integrating microbial community integrity with physicochemical parameters. Nine monitoring sections were established, considering land use, pollution sources, and seasonal hydrology. Over four seasons, eight water quality parameters and microbial indicators were systematically monitored. A Microbial Index of Biotic Integrity (M-IBI) was developed through candidate parameter screening, interference response analysis, and discriminant ability assessment. Core metrics included Chao1 index, Sobs index, and relative abundances of Acinetobacter and hgcl-clade genera. M-IBI scores were standardized and classified into health levels, with results compared against the Water Quality Index (WQI). Findings revealed seasonal M-IBI variation: winter > autumn > summer > spring, with downstream water quality superior to upstream. Spatial and seasonal patterns of WQI and M-IBI were largely concordant, though discrepancies arose from differential microbial responses to environmental factors and heightened sensitivity to human disturbance. The M-IBI approach demonstrated robust applicability for river health assessment, offering a sensitive, integrative tool for urban water management.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(25)60620-7
Direct coal liquefaction (DCL) diesel constitutes over 60% of DCL products, yet its cetane number (30–40) falls short of the automotive diesel standard (≥45). Rapid and accurate compositional analysis is essential for optimizing properties via component blending. Traditional gas chromatography offers high accuracy but is unsuitable for online industrial monitoring. Near-infrared (NIR) spectroscopy enables rapid, non-destructive analysis, but spectral interpretation is complex. This study integrates NIR spectroscopy with machine learning (ML) to construct a spectral-composition database for DCL diesel. Feature extraction using correlation coefficient and mutual information methods screened key wavelength variables, reducing dimensionality from ~1800 to ~200 wavelengths. Three ML models—Lasso, SVR, and XGBoost—were compared. Excluding spectral data with absorbance >1 significantly improved model accuracy, increasing test set R² from 0.85 to 0.96. After feature extraction, the optimal variable count was 177, enhancing computational efficiency. Among models, SVR-MI-0.9 (mutual information feature selection) achieved the best performance, with training and test set R² values exceeding 0.98, enabling precise prediction of paraffin, naphthene, and aromatic contents. This research provides a robust methodology for intelligent online quality monitoring. An intelligent NIR spectroscopy data analysis software was independently developed based on the established model. Compared with comprehensive two-dimensional gas chromatography, the software reduced analysis time by over 98%, with absolute prediction error below 0.2%. Thus, rapid analysis of DCL diesel components was successfully realized.
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.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60636-6
Polyoxymethylene dimethyl ethers (DMMx) are promising clean diesel additives. Compared to the traditional aldol condensation route, the one-step oxidative method for producing DMMx directly from methanol is a green synthesis route offering significant advantages. However, due to the complexity of the reaction, a balance must be struck between oxidation depth and C–O chain growth efficiency. This imposes specific requirements on the design of catalysts with multifunctional active sites: the catalyst should possess appropriate oxidative activity, suitable acid strength distribution, and effective synergy between these two functions. To address these challenges, this study designed a sulfuric acid-modified molybdenum-doped NASICON catalyst, which demonstrated favorable catalytic performance in the one-step oxidative synthesis of DMMx from methanol. Over the NSC-Mo-0.5-30% catalyst, methanol conversion rate of 81.3% and the DMMx selectivity of 58.7% were achieved, along with the formation of heavier molecules, as evidenced by the DMM2–6 selectivity of 11.3%. The NH3-TPD, Py-IR and XPS results indicate that the introduction of molybdenum increases the number of weak Lewis acid sites, while sulfuric acid impregnation not only generates gradient-distributed Brønsted acid sites but also promotes the formation of Mo5+/Mo6+ redox pairs. The cooperation of the two types of active sites significantly enhances catalyst performance.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60654-8
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.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3874-1
The rapid expansion of artificial intelligence (AI) model sizes to trillions of parameters has intensified the demand for computational paradigms that overcome the von Neumann bottleneck. Emerging memory technologies, while advancing, fall short of meeting the massive requirements of large-scale models. Ferroelectric materials, with their continuous tunability of domain patterns, offer a promising route to emulate synaptic weights in biological learning. This review systematically examines four fundamental ferroelectric-based device architectures: ferroelectric capacitors, ferroelectric field-effect transistors (FeFETs), ferroelectric tunnel junctions (FTJs), and ferroelectric domain wall memories. We analyze their latest progress, application domains, and inherent advantages, while critically assessing the challenges impeding their commercialization. Key issues include scalability, endurance, retention, and integration with CMOS technology. We also highlight optimization strategies for material and device performance, array-level design, and neuromorphic computing architectures. Future research directions are proposed, emphasizing the expansion of novel applications and the realization of energy-efficient, high-density in-memory computing systems. This review provides a comprehensive framework for researchers and engineers aiming to harness ferroelectric devices for next-generation computing.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202607013
This study investigated the synergistic effects of earthworm mucus and two biochar types (rice husk biochar and straw biochar) on heavy metal bioavailability during sludge composting. Sludge was amended with earthworm mucus alone or combined with biochars at varying proportions, and the impacts on physicochemical properties, total heavy metal concentrations, bioavailable fractions, and chemical speciation were analyzed. Results showed that mucus addition increased sludge pH and electrical conductivity (EC) but decreased total nitrogen (TN) and total phosphorus (TP) contents. Synergistic mucus-biochar composting further elevated pH and EC while reducing TN, with the optimal treatment being mucus plus 10% rice husk biochar. Mucus-only composting reduced total concentrations and bioavailability of Cd, Cu, Ni, Zn, and Pb. Adding biochars significantly enhanced these reductions. Specifically, mucus with rice husk biochar achieved the best Cd removal, with total and bioavailable Cd decreasing by 27.03%–55.68% and 9.52%–28.57% (P<0.05), respectively, compared to controls. Mucus with straw biochar was most effective for Ni, Zn, and Pb, reducing total contents by 3.81%–5.72%, 7.93%–34.62%, and 42.61%–79.46%, and bioavailable fractions by 2.90%–26.31%, 15.58%–24.14%, and 32.30%–36.88% (P<0.05), respectively. Speciation analysis revealed that Cd, Ni, and Pb carbonate-bound fractions transformed into residual forms, and exchangeable fractions shifted to Fe-Mn oxide-bound forms. Straw biochar addition resulted in the highest residual fractions for Cd, Cu, Ni, Zn, and Pb, increasing by 0.35%–7.02%, 8.61%–12.90%, 16.62%–23.02%, 17.33%–26.10%, and 16.12%–27.20% (P<0.05), respectively. These findings demonstrate that earthworm mucus combined with rice husk or straw biochar effectively reduces heavy metal concentrations and bioavailability in sludge, offering a promising strategy for sludge composting.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4075-1
Titanium alloys, such as Ti-6Al-4V (TC4), are indispensable in aerospace, biomedical, and advanced manufacturing due to their high specific strength, corrosion resistance, and biocompatibility. However, their inherent strength-ductility trade-off and limited stiffness hinder next-generation lightweight structural applications. Traditional ceramic reinforcements (TiC, TiB2, SiC) improve strength but introduce brittleness and interfacial incompatibility, degrading plasticity and fatigue resistance. Graphene, with theoretical strength ~130 GPa and Young's modulus ~1 TPa, offers a promising two-dimensional reinforcement. This review systematically examines graphene-reinforced titanium matrix composites (TMCs), focusing on the intrinsic relationship between preparation, microstructure, and properties. Key preparation routes include powder metallurgy and additive manufacturing, with challenges in achieving uniform dispersion and controlling interfacial reactions. Recent studies demonstrate that surface modification and process optimization can form an ideal interface structure comprising a nano-TiC layer and residual graphene. Even at low graphene additions, synergistic strengthening mechanisms—load transfer, fine-grain strengthening, and Orowan dislocation bypass—significantly enhance strength, hardness, and wear resistance while preserving ductility. This review consolidates critical theoretical and experimental findings, offering guidance to overcome technological bottlenecks and promote engineering applications of graphene-reinforced TMCs.