查看更多>>摘要：Treatment of uncontrolled non-compressible hemorrhage remains challenging due to complex anatomical constraints and limi-tations of existing expandable hemostatic materials, which often lack sufficient porosity, mechanical robustness, biocompatibility, and capacity to support tissue regeneration. To address these issues, an injectable self-expanding hemostatic sponge was developed using a vacuum-assisted foaming strategy that harnesses bubble evolution to enlarge pores and enhance interconnectivity, with mechanical stability reinforced by a physically-chemically integrated double-network matrix. The optimized formulation (IHMS) exhibited hierarchically interconnected macroporous networks with excellent fatigue resistance, retaining 94.2%of peak stress and 92.7%of strain after 100 compression cycles at 80%strain. It outperformed commercial hemostatic sponges in fluid absorption, blood retention, clot formation, and tamponade sealing. Systematic evaluations demonstrated its intrinsic antibacterial activity, favorable biocompatibility, and ability to promote tissue repair. In rat liver perforation and femoral artery transection models, IHMS achieved superior hemostatic efficacy compared with cotton and commercial sponges. In lethal porcine hemorrhage models under normal and anticoagulated conditions, IHMS provided rapid and durable tamponade, outperforming the FDA-approved XSTAT, and could be easily removed after hemostasis. Its efficacy was further validated in junctional gunshot wound models. These findings advance the design of high-performance expandable hemostats for life-threatening non-compressible hemorrhage.
查看更多>>摘要：Next-generation communications and camouflage systems require secure information transmission without electromagnetic exposure. Radiation-stealth metasurfaces offer a promising route toward this goal, yet radiation and scattering remain intrinsically entangled, compelling existing approaches to segregate them into orthogonal polarizations or disjoint frequency bands. This fundamentally restricts polarization controllability and spectral coexistence, leaving concurrent full-polarization stealth and radiation control within a shared spectrum unachieved. Here, we propose multigroup metasurface ensembles where cooperative interlayer interactions fully decouple radiation regulation from scattering suppression, enabling dynamic chiral radiation while preserving invisibility to arbitrary polarizations across an overlapping spectrum. By leveraging two independent geometric phases to break the conjugation constraint between radiated and scattered spin waves, along with a customized feed-addressing strategy, desired spin radiation is channeled into tunable directions, with cross-polarized scattering effectively suppressed via destructive interference. Meanwhile, reciprocity ensures that co-polarized illumination passes through the multilayer metasurfaces and is dissipated by the embedded feed network, yielding full-polarization invisibility. To validate the concept, its versatile radiation-stealth functionalities, including multifunctional chiral beam scanning and full-polarization invisibility, are experimentally demonstrated. Our methodology unlocks new opportunities for secure satellite links, low-altitude networks, and covert tactical communications, providing a versatile foundation for next-generation aerospace and wireless infrastructures.
查看更多>>摘要：The electrocatalytic ethylene glycol (EG) oxidation to value-added chemicals is highly desirable for profitable resource utilization, yet encounters a low yield rate and poor durability. Herein, a class of highly distorted PtPdTe nanosheets (PtPdTe-a) with modulated electronic states and oxophilicity is prepared by reconstructing layered PtPdTe dichalcogenide and delivers a record mass activity (11.78 A mgPt+Pd~(-1)) toward EG oxidation reaction with high glycolic acid (GA) Faradaic efficiency (96.7%). Mechanistic investigations reveal that PtPdTe-a features a strong p-d coupling effect for facilitating the formation and adsorption of hydroxyl adspecies to accelerate the oxidation of carbonyl intermediates, thereby avoiding over-oxidation and switching the pathway toward desired C2 direction. We further demonstrate the unprecedented stability of PtPdTe-a-based electrolyzer for over 1000 h (>150 mA cm~(-2)). The scale-up electrolyzer can achieve GA electrosynthesis with a record yield rate of 5.04 mmol cm~(-2) h~(-1) and a very high initial current density of over 800 mA cm~(-2) from the upgrading of PET. Our new strategy can produce 422.36 g of terephthalic acid, 904.08 g of Na_2SO_4, and 112.69 g of GA from 500 g of PET with a profit of about$880.23 ton~(-1) PET. Besides, PtPdTe-a is highly efficient for ethanol oxidation into acetic acid with excellent selectivity.
查看更多>>摘要：To realize in-memory sensing and computing platforms, it is essential to integrate sensing, computation, and memory functionalities within a single device, enabling energy- and time-efficient vision systems with high perceptual precision. However, achieving such multi-functional processing capability within a compact device structure remains a major challenge. Here, a reconfigurable vertical photodiode based on α-In2Se3 is presented, a ferroelectric 2D semiconductor. Gradual and reversible modulation of built-in electric fields at the top and bottom Schottky junctions is achieved through partial out-ofplane polarization switching of α-In2Se3, enabling multi-level, non-volatile, and polarity-tunable photoresponsivity. This allows analog programmability with a high degree of freedom in processing within a two-terminal metal-ferroelectric semiconductormetal (MFsM) structure, effectively resolving trade-off between structural compactness and computing versatility. Leveraging these intrinsic characteristics, we demonstrate a versatile sensor-level perceptual processing framework using a reconfigurable photodiode crossbar array. By exploiting the high-density spatial integration capability, the system adaptively configures its spatial support to prioritize either suppressing environmental noise for robust feature extraction or preserving fine-grained details for precise classification, depending on the task requirements. These results lay the foundation for highly scalable and energy-efficient neuromorphic vision system with high perceptual precision.
查看更多>>摘要：The perception of multidimensional information (e.g., spatial, temporal, and spectral domains) plays a vital role in fields like remote sensing that require high optical resolution and precision. The current approach typically relies on hyperspectral imaging, a band-by-band image acquisition modewith subsequent feature learning and fusion through post-processing algorithms. Such an asynchronous workflow introduces substantial data redundancy, transmission latency, and high energy consumption, limiting its practical deployment. Here, we propose a novel spectral-spatial associated vision sensor that enables the synchronous acquisition and feature fusion of spectral and spatial information at the hardware level. Specifically, scalable highly oriented 2D Bi2Te3 thin films with broadband response are employed for the fabrication of highly uniform device arrays, thus achieving simultaneous capture of spectral-spatial information. The arrays perform enhanced synaptic behavior under multi-wavelength stimuli, with a maximum enhanced ratio of more than 20, facilitating feature discriminability and recognition efficiency. By leveraging such a synergistic enhancement characteristic, an increased recognition accuracy of 91.12% is achieved for topography recognition on the Indian Pines dataset. These findings demonstrate that the proposed vision sensor streamlines hardware-level data acquisition while improving processing efficiency, thereby establishing a new paradigm formultidimensional information fusion, particularly in scenarios with massive data streams.
查看更多>>摘要：Morphable 3D mesosurfaces with tunable optical properties present unique opportunities for adaptive, multifunctional systems such as next-generation displays, intelligent camouflage, and visual-based mechanical sensing. Directly embedding nanoscale optical features onto morphable, curved 3D mesosurfaces remains challenging, due to the extreme mismatch in length scales and material limitations. 3D assembly methods offer alternative routes to the fabrication of morphable 3D color-shifting mesosurfaces, but the synergetic design/control of visible optical performance and complex 3D shapes has rarely been explored. Inspired by the biological construction of hierarchical micro- and nanopores in diatom cell walls, novel design strategies of 3D morphable color-shifting mesosurfaces with rationally engineered Janus micro- and nanolattices are proposed. A double-sided patterning method, combining top-down lithography and nanomolding, enables precise integration of Janus lattices onto thin-film 2D precursor structures, which are then transformed into target 3D mesosurfaces through buckling-guided 3D assembly. Synergetic designs of micro- and nanolattice patterns allow the customization of 3D optical mesosurfaces with desired shapes and reflectance distributions, guided by a theoretical mechanics model and experimentally measured reflectance spectra. Leveraging angle-dependent reflectance, morphable ribbon-shaped surfaces whose color changes gradually during in-plane stretching and out-of-plane compression are demonstrated, suggesting potential applications in power-free, visual-based strain and pressure sensing.
查看更多>>摘要：The photocatalytic conversion of CO_2 into hydrocarbons using sustainable solar energy offers a promising strategy to address the global energy crisis and achieve carbon neutrality. However, conventional p-block photocatalysts are often limited by inefficient electron transfer, which restricts the reaction to a two-electron reduction pathway, primarily yielding CO and impeding the formation of high-value hydrocarbons like CH_4. Herein, we construct a novel BiOCl-BiO(HCOO) heterostructure (denoted as BiOCH), which features interfacial chelating interactions between the [Bi2O_2]~(2+) and [HCOO]~- layers within the BiO(HCOO) component, for efficient photocatalytic CO_2 reduction to CH_4. This unique heterostructure broadens the light absorption spectrum and facilitates the separation of photoinduced charges. More importantly, the interfacial Bi-O chelation in BiO(HCOO) modulates the local electronic microenvironment of Bi sites. Mechanistic studies reveal that this modulation enhances the coupling between the C-2p orbital of the*CHO intermediate and the Bi-p orbital, thereby lowering the Gibbs free energy barrier for the critical*CO-to-*CHO step and promoting CH_4 generation. Consequently, the optimized BiOCH catalyst achieves a remarkable CH_4 production rate of 42.95 µmol⋅g~(-1)⋅h~(-1) with a high electron selectivity of 95.38%. This work provides a novel design strategy of organic-inorganic hybrid layered structures for steering photocatalytic CO_2 reduction toward value-added hydrocarbons.
查看更多>>摘要：Probabilistic bit (p-bit) is the fundamental building block and core element of probabilistic computing (p-computing). However, physical separation of bit generation and memory storage creates a memory bottleneck in conventional p-computing architectures. We report on experimentally integrating voltage-tunable stochastic bit generation and non-volatile memory functionalities within a single in-memory device to realize a p-bit with van der Waals ferroelectric CuInP_2S_6 (CIPS). Leveraging the stochastic displacement of Cu~+ions and the material’s remanent polarization under an external electric field, the proposed device achieves stable random bit retention (>1000 s) with low power consumption (∼75 nW). This eliminates the need for data transfer between separate memory and logic units, thereby enabling efficient in-memory p-computing with improved system-level performance. In-memory p-computing outperforms conventional p-computing in device-to-system-level NP-hard simulations, reducing time-complexity from O(n~2) to O(n~(1.5)). Notably, the sigmoid slope of the probabilistic output is dynamically tuned by varying the CIPS layer thickness, enabling adaptive control over exploration-exploitation characteristics. Broader slopes facilitate initial exploration, whereas steeper slopes support rapid convergence in later stages. Sigmoid slope tunability over a wide dynamic range (6.17–38.41) reduces convergence steps by 400-fold, highlighting the potential of CIPS-based p-bit as a compact, energy-efficient platform for scalable and adaptive p-computing.
查看更多>>摘要：Electrocatalytic hydrogenation of acetonitrile (AN-ECH) offers a sustainable pathway for ethylamine (EA) synthesis. However, achieving high selectivity in AN-ECH necessitates carefully balancing proton availability to suppress the hydrogen evolution reaction (HER), which often conflicts with the proton supply requirements under industrial-grade current densities. Herein, we design and develop a novel and effective AN-ECH catalyst consisting of rare-earth Eu atoms modified on Cu_2O nanoneedles to drive efficient and durable AN-ECH at ampere-level currents. The optimized Eu-Cu_2O catalyst achieves a high EA Faradaic efficiency of 98.1 % and an exceptional production rate of 2253.2 μmol h~(-1) cm~(-2) compared with pure Cu_2O. Notably, the Eu-Cu_2O can continuously operate 420 h at 2Ain an anion-exchangemembrane electrolyzer forAN-ECH, representing the longest reported stability under the industrial-current conditions to date. Operando characterization and theoretical calculations elucidate that the Eu incorporation tailors the electronic structure of Cu sites, thus switching the adsorption configuration of AN from the flat-lying multi-site π-adsorption to vertical N-end adsorption. This reconfiguration of the adsorption site lowers the energy barrier for the imine hydrogenation step, dictating the ideal proton addition pathway while enhancing the proton addition kinetics to suppress the HER. This work provides fundamental insights into rare-earth tuning of AN hydrogenation mechanisms and represents a critical advancement toward ampere-scale electrosynthesis of EA.
查看更多>>摘要：Achieving high Li~+ conductivity, near-unity transference numbers, and stable interfaces in solid-state electrolytes remains amajor challenge for lithium-metal batteries. Here we introduce a radial-effect design principle: relativistic expansion and spin–orbit coupling of 5d orbitals enhance s–d/p–d hybridization, weaken Li–anion interactions, and lower migration barriers. An entropybased descriptor, S_d, trained and validated with machine learning across >10,000 oxides, sulfides, and halides captures this effect. Machine-learning-guided high-throughput screening flags monoclinic HfO_2,whose 5d~2 radial expansion lowersmigration barriers by ∼45% vs Sc_2O_3 or Y_2O_3. Guided by this insight,we employmillisecond flash-Joule heating to convert HfO_2 into nanosized single crystals, then embed them in a Li-conductive binder to create sc-HfO_2@LCB, whose radial coupling yields interconnected Li~+ pathways (1.23 mS cm~(-1), 30℃; t_(Li+) = 0.82, 25℃) and a 4.8 V electrochemical window. Operando Raman/XANES confirms faster Li+ transport. Consequently, 2 Ah LiNi_(0.9)Co_(0.05)Mn_(0.05)O_2‖Li pouch cells deliver ∼472 Wh kg~(-1) (stack-level), maintain superior rate capability over hundreds of cycles, and survive 150℃ hot-plate tests. These results establish radial-effect engineering as a sophisticated strategy for high-performance, thermally resilient solid-state batteries.
NETL
NSTL
Wiley