Power Automation Equipment•2026•DOI: 10.16081/j.epae.202606025
The large-scale integration of power electronic converters in high-proportion renewable energy systems imposes stringent requirements on the accuracy and extensibility of grid-following (GFL) and grid-forming (GFM) converter models. This paper derives a theoretical model of GFL/GFM grid-connected converters that accounts for complete circuit and control dynamics, and constructs an open-source white-box converter model on the CloudPSS electromagnetic transient (EMT) simulation platform. The model adopts per-unit and structural design for electrical topology, control loops, and multiplier equivalence, enabling simulation of converters with various voltage levels and rated capacities. Theoretical calculations and simulation results demonstrate that the model exhibits accurate disturbance response, flexible parameter configuration, strong extensibility, and high simulation efficiency. The model provides a foundation for constructing a standardized EMT model library for renewable energy converters. The full-order small-signal state-space equations are provided, and the conversion between per-unit time and named time is derived. Case studies validate small/large disturbance responses, parameter sensitivity (short-circuit ratio, reactance-resistance ratio, PI parameters), and simulation efficiency in a hybrid AC/DC grid standard test system. The model and test cases are publicly available on the CloudPSS official website.
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.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2025121602
This study characterized the body burden of polybrominated diphenyl ethers (PBDEs) in a physical examination population in Shenzhen and evaluated its impact on thyroid function. Serum samples from 368 residents were analyzed for eight PBDE congeners using atmospheric pressure gas chromatography-tandem mass spectrometry (APGC-MS/MS). The median concentration of ∑8PBDEs was 10.2 ng·g⁻¹ lipid weight (lw), ranging from 0.13 to 2089.4 ng·g⁻¹ lw, with BDE-209 predominating (59.7% of total). Multiple linear regression revealed that a 1.7-fold increase in serum BDE-153 was associated with a 0.4% increase in free triiodothyronine (FT3) (P<0.05), while a 1.7-fold increase in BDE-183 was associated with a 0.9% decrease in total triiodothyronine (T3) and a 0.7% decrease in FT3 (P<0.05). Bayesian kernel machine regression (BKMR) indicated a negative correlation between mixed PBDE exposure and thyroid-stimulating hormone (TSH) at high exposure levels. Weighted quantile sum (WQS) regression showed that mixed exposure was associated with decreased T3 levels and T3/FT3 ratio, with BDE-153 and BDE-183 as the primary contributors. These findings suggest that PBDE exposure may adversely affect thyroid function and disrupt thyroid hormone homeostasis, with BDE-183 and BDE-153 playing key roles. This study provides a scientific basis for PBDE health risk assessment and thyroid protection.
Environmental Chemistry•2026•DOI: 10.7524/j.issn.0254-6108.2024122101
Bicarbonate and carbonate ions (HCO3−/CO3^2−) are ubiquitous in wastewater and readily scavenge strong oxidants, leading to the formation of carbonate radicals (CO3·−) in radical-based advanced oxidation processes. This study investigated the influence of HCO3−/CO3^2− on the degradation kinetics of sulfamethazine (SMR) in a UV/TiO2 system. The presence of HCO3−/CO3^2− enhanced the degradation rate of SMR by sixfold compared to UV/TiO2 alone. Radical quenching experiments identified CO3·− as the primary reactive species responsible for the enhanced degradation, with hydroxyl radicals (·OH) also contributing. To quantitatively delineate the roles of reactive species and account for water matrix effects, a kinetic model was constructed using Kintecus software. The model accurately predicted SMR degradation over time and the contributions of individual radicals, demonstrating good predictive capability. Application of the model to real wastewater predicted that CO3·− is the dominant radical responsible for SMR degradation. These findings highlight the critical role of carbonate radicals in UV/TiO2 processes and provide a robust modeling framework for predicting the fate of pharmaceuticals in carbonate-rich waters.
New Carbon Materials•2026•DOI: 10.1016/S1872-5805(26)61100-6
Sodium-ion capacitors (SICs) are attractive for low-cost and safe energy storage, but their practical development is limited by sluggish Na+ storage kinetics and structural instability of anodes. Control of both bulk structure and surface chemistry can address these limitations. We report a heteroatom-rich porous carbon (HRPC) derived from spores via hydrothermal pretreatment, low-temperature carbonization, and acid-mediated functionalization. The optimized GLSHC-HNO3 anode exhibits hierarchical porosity and multi-element co-doping, enabling rapid ion/electron transport, improved electrolyte wettability, and abundant Na+ adsorption sites. Density functional theory calculations reveal distinct contributions of different heteroatom configurations to sodium adsorption. The HRPC anode delivers an ultrahigh reversible capacity of 446.1 mAh g−1 at 50 mA g−1, retains 237.3 mAh g−1 at 2 A g−1, and shows excellent cycling stability. A full SIC with a polyaniline-derived porous carbon cathode achieves an energy density of 114.4 Wh kg−1 at 290 W kg−1, 43.1 Wh kg−1 at 1450 W kg−1, and a maximum power density of 5800 W kg−1, with 84.3% capacity retention after 5000 cycles and nearly 100% Coulombic efficiency. This work establishes a scalable, sustainable route for converting biomass into high-value carbon anodes, providing a new pathway for high-performance sodium-ion energy storage.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3873-7
The escalating demand for lightweight, multifunctional stealth materials in modern protective applications necessitates integrated solutions against electromagnetic interference (EMI), infrared (IR) detection, and incendiary threats. This study presents an innovative melamine foam (MF)-based composite featuring an asymmetric dual-nano conductive network, achieving absorption-dominated EMI shielding, IR stealth, and flame retardancy. Inspired by the Salisbury screen, the composite employs MF as an interlayer and flame-retardant thermoplastic polyurethane (TPU) nanofiber membrane as a substrate. The architecture comprises a carbon nanotubes (CNTs)-modified impedance matching nanofiber layer as the top absorber and a silver nanoparticles (AgNPs)-modified nanofiber layer as the highly conductive reflective bottom. Precise control of CNTs content and interlayer thickness enables tunable electromagnetic wave (EMW) absorption, yielding a low reflection coefficient of 0.03 and a high EMI shielding effectiveness of 79.23 dB at a total thickness of 4.40 mm. Even at 1.40 mm, effective absorption-dominated shielding is maintained. The performance remains stable under ultrasonic, compression, and bending tests, demonstrating high durability. The mechanism underlying absorption-dominated EMI shielding at reduced thickness, relying on destructive interference of EMWs enabled by the asymmetric dual-nano conductive network, is thoroughly elucidated. Additionally, the composite exhibits superior IR stealth and self-extinguishing properties. This work offers a feasible strategy for designing high-performance stealth materials with strong potential for personnel and communication equipment protection.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3917-x
The escalating global challenge of antibiotic contamination demands advanced sensing technologies for environmental monitoring and public health protection. Here, we present a structurally well-defined, intercalation-engineered metal-organic framework (MOF), HSB-W18, which functions as an ultrasensitive and selective fluorescence sensor for fluoroquinolone antibiotics. Single-crystal X-ray diffraction analysis unambiguously determined both the framework architecture and the spatial organization of intercalated 2,5-dihydroxyterephthalate molecules at atomic resolution. Through ultrasound-assisted synthesis, highly stable book-shaped microsheets (HSB-W18-MS) were obtained, maintaining exceptional aqueous dispersibility and luminescence intensity for over one month. These microsheets offer distinct advantages for antibiotic detection: specific recognition of diverse fluoroquinolones via unique fluorescence signatures; highly sensitive ratiometric detection of enoxacin (ENX) with a limit of detection (LOD) of 5.62 nM and rapid response kinetics (<30 s); exceptional selectivity alongside reusability. Systematic mechanistic investigations revealed a synergistic detection process involving multiple photophysical pathways. Furthermore, a smartphone-based portable detection system was successfully implemented, and the practical utility of the sensor was validated by quantifying ENX in complex environmental samples: tap water LOD = 18.32 nM and river water LOD = 29.87 nM. This study contributes to fundamental materials science and environmental monitoring by elucidating discernible structure-property relationships in intercalated MOFs, demonstrating a robust platform for field-deployable antibiotic detection and proposing an innovative design paradigm for environmental optical sensors.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4012-4
Stimuli-responsive fluorescent hydrogels, owing to their tunable optical properties and unique smart response characteristics, have significant potential in encryption applications and information security. However, most current systems are limited to single-stimulus responsiveness and lack the capability for programmable information erasure or multi-modal dynamic synergy. Hence, we propose a multi-stimuli-responsive phase-change hydrogel incorporating aggregation-induced emission hydrophobic carbon dots (AIE-HCDs) and polyethylene glycol (PEG)-cellulose network, demonstrating dynamic fluorescence chromism under various external triggers. The hydrogel exhibits solvent-exchange-triggered fluorescence color changes from blue to red, enabled by the concentration modulation of AIE-HCDs through the exchange between PEG and water. Additionally, the temperature-induced phase transition of PEG from crystalline to molten state modulates the aggregation and dispersion of AIE-HCDs, thereby enabling dynamic fluorescence color changes. The phase transition further confers excellent shape-memory behavior and adjustable mechanical properties, with the tensile modulus varying from 6.28 MPa in the molten state to 36.23 MPa in the crystalline state, while maintaining high transparency (~88% in the molten state). By utilizing micro-contact printing and the multi-stimulus response, an encryption platform enables information to be hidden, selectively read under sequential stimuli (thermal, UV, and solvent), and completely erased upon demand. This strategy demonstrates significant potential for advancing high-level information encryption and anti-counterfeiting technologies.
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.