Acta Energiae Solaris Sinica•2026•DOI: 10.19912/j.0254-0096.tynxb.202608_9727
Rolling bearings in wind turbine generator systems operate under variable speed and load conditions that induce significant data distribution shifts between training and field data, while unknown fault modes absent from the source domain are frequently misclassified as known classes. This study proposes a multi-classifier open adversarial network (MCOAN) for open-set fault diagnosis. Within an adversarial domain adaptation framework, a K-way classifier and an additional K+1-way one-vs-all classifier independently estimate target-sample similarity to the source domain. These similarity scores drive a dynamic weighting mechanism that adaptively reweights target samples during open-set adversarial training and supplies per-sample dynamic thresholds for known/unknown discrimination, thereby promoting cross-domain alignment of shared-class features while suppressing negative transfer from unknown samples. A non-adversarial domain classifier is introduced to stabilize dynamic weight estimation. Validation on two datasets demonstrates high-precision shared-class distribution alignment and unknown-class recognition with favorable robustness. The method removes reliance on empirically preset thresholds that plague conventional open-set back-propagation approaches, where a fixed threshold of 0.5 in the binary cross-entropy adversarial loss provides no per-sample adaptivity. By coupling K-way and K+1-way similarity estimates, MCOAN achieves simultaneous known-class alignment and unknown-class separation without prior knowledge of the unknown-class cardinality, addressing a persistent bottleneck in wind turbine drivetrain condition monitoring where unanticipated bearing failure modes emerge under field conditions.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3689-9
Converting body heat into electricity presents an appealing route for sustainably powering wearable electronics; however, conventional thermoelectric materials face significant drawbacks, including high ionic concentrations, toxicity, and limited thermoelectric efficiency. Here, we report an ionic thermoelectric hydrogel designed through precise supramolecular chemistry, utilizing dual molecular interactions: host-guest complexation of α-cyclodextrin (α-CD) with I3− ions and hydrogen bonding between polyvinyl alcohol (PVA) polymer chains and I3−. This molecularly tailored approach markedly amplifies thermoelectric performance, achieving a high thermopower of 2.21 mV/K and a tenfold enhancement in peak power output at an exceptionally low iodine concentration (10 mmol/L I− + 2.5 mmol/L I3−). The hydrogel maintains excellent biocompatibility and mechanical robustness, suitable for direct skin contact. Demonstrated applications include flexible thermoelectric devices generating nearly 100 mV from body heat and sensor arrays capable of motion and spatial temperature sensing. These results underscore the substantial potential of supramolecularly designed ionic thermoelectric hydrogels for wearable energy harvesting, personalized healthcare monitoring, and advanced human-computer interfaces.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2026021301
Lithium cobalt oxide (LCO) nanoparticles (NPs), generated during the lifecycle of LCO batteries via mechanical wear, pose respiratory health risks. This study systematically assessed LCO NPs' physicochemical properties, ion release, and immunotoxicity using multi-scale models. LCO NPs exhibited irregular morphology, layered crystal structure, good dispersion, and negative surface charge. Cobalt ion release was minimal: 1.03% in deionized water and 0.11% in cell culture medium. In vitro, LCO NPs significantly induced reactive oxygen species (ROS) production and secretion of pro-inflammatory cytokines (IL-6, IL-1β, TNF-α) in macrophages, promoting M1 polarization. In vivo, intranasal exposure caused dose-dependent pulmonary accumulation, alveolar destruction, inflammatory cell infiltration, and elevated cytokines in bronchoalveolar lavage fluid (BALF). Transcriptomic analysis revealed significant enrichment of NF-κB, JAK-STAT, and Toll-like receptor signaling pathways, implicating these in macrophage activation and inflammation amplification. This multi-level study elucidates LCO NPs' immunotoxicity mechanisms, providing a scientific basis for environmental health risk assessment and management of lithium-ion battery materials.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4099-2
Lithium (Li)-metal batteries (LMBs) are promising next-generation energy storage systems due to their high theoretical capacity (3860 mAh g−1) and low electrochemical potential (−3.04 V vs. standard hydrogen electrode). However, uncontrollable Li dendrite growth and volume fluctuations during cycling cause low Coulombic efficiency, safety hazards, and rapid capacity decay. Conventional 3D current collectors mitigate these issues by increasing surface area and providing void space, but they suffer from top-heavy deposition and underutilization of internal space. Emerging Janus/gradient anode structures, featuring asymmetric or gradient properties in lithiophilicity, conductivity, or porosity, enable bottom-up Li plating and efficient space utilization. This review systematically summarizes design principles, operational mechanisms, and recent progress in lithiophilic-lithiophobic Janus designs, conductivity-gradient frameworks, and dual-gradient configurations. These structures collectively improve Coulombic efficiency, cyclic longevity, and safety. The review concludes with future research directions, underscoring the potential of Janus/gradient anodes for high-energy-density and durable LMBs.
Journal of Fuel Chemistry and Technology•2026•DOI: 10.1016/S1872-5813(26)60669-X
Dry reforming of methane (DRM) converts CH4 and CO2 into syngas with a unity H2/CO ratio, but suffers from catalyst deactivation via sintering and carbon deposition at high temperatures. This study addresses these challenges by employing UiO-66 as a precursor to modify Pt-based catalysts. A series of Pt/CeO2-ZrO2 catalysts were synthesized via incipient wetness impregnation using supports with varying Ce/Zr ratios prepared hydrothermally. Comprehensive characterization—including CO2-TPD, CH4-TPD, XPS, XAFS, in situ DRIFTS, TG, and Raman spectroscopy—revealed a volcano-type correlation between DRM performance and Ce/Zr ratio. Optimal activity and stability were achieved with Pt/3CeO2-ZrO2 (Ce/Zr = 3:1). This catalyst features highly dispersed platinum, primarily as single atoms and thermally stable PtOx clusters. It exhibits the highest concentration of Ce3+ and Zr3+ species, abundant oxygen vacancies, and high defect density, indicating strong metal-support interaction. Mechanistically, stable DRM is facilitated by oxygen-assisted CH4 dissociation and hydrogen-assisted CO2 dissociation. At 800 °C, CH4 and CO2 conversions reached 86% and 93%, respectively, with H2/CO ratio near unity. A 10 h stability test showed no detectable carbon deposition. These results confirm that the catalyst enhances reaction kinetics while demonstrating superior activity, stability, and resistance to coking and sintering.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3643-8
Inverted perovskite solar cells (PSCs) suffer from defect-mediated nonradiative recombination and inefficient charge extraction, particularly at the buried interface and grain boundaries (GBs), which limit power conversion efficiency (PCE) and operational stability. This study introduces a multifunctional phosphonic acid molecule, (2-(3,6-bis(trifluoromethoxy)-9H-carbazol-9-yl)ethyl)phosphonic acid (M28), as an additive in the perovskite precursor solution. M28 spontaneously segregates toward the buried interface and GBs, fulfilling three roles: (1) slowing crystallization to enlarge grains and improve film quality, (2) passivating defects to suppress charge recombination, and (3) inducing p-type doping to create an extra electric field that promotes hole transport. Devices incorporating M28 achieve a champion PCE of 25.96% and retain 80% of initial efficiency after 1500 h of maximum power point tracking. This work demonstrates the efficacy of multifunctional phosphonic acid additives in addressing buried-interface and GB defects, offering a viable route to high-performance, stable inverted PSCs.