Feature selection methods for classification are crucial for intrusion detection techniques using machine learning. High-dimensional features in intrusion detection data affect computational complexity, consume more u...
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Directed greybox fuzzing directs fuzzers to specified code areas and has gained great achievements in 1-day vulnerability detection. However, existing directed graybox fuzzers fail to generate the crash sample even if...
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Graphene fiber supercapacitors(GFSCs)have garnered significant attention due to their exceptional features,including high power density,rapid charge/discharge rates,prolonged cycling durability,and versatile weaving *...
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Graphene fiber supercapacitors(GFSCs)have garnered significant attention due to their exceptional features,including high power density,rapid charge/discharge rates,prolonged cycling durability,and versatile weaving ***,inherent challenges in graphene fibers(GFs),particularly the restricted ion-accessible specific surface area(SSA)and sluggish ion transport kinetics,hinder the achievement of optimal capacitance and rate *** existing reviews on GFSCs,a notable gap exists in thoroughly exploring the kinetics governing the energy storage process in *** review aims to address this gap by thoroughly analyzing the energy storage mechanism,fabrication methodologies,property manipulation,and wearable applications of *** theoretical analysis of the energy storage process,specific parameters in advanced GF fabrication methodologies are carefully summarized,which can be used to modulate nano/micro-structures,thereby enhancing energy storage *** particular,enhanced ion storage is realized by creating more ion-accessible SSA and introducing extra-capacitive components,while accelerated ion transport is achieved by shortening the transport channel length and improving the accessibility of electrolyte *** on the established structure-property relationship,several critical strategies for constructing optimal surface and structure profiles of GF electrodes are *** on the exceptional flexibility and wearability of GFSCs,the review further underscores their potential as foundational elements for constructing multifunctional e-textiles using conventional textile *** conclusion,this review provides insights into current challenges and suggests potential research directions for GFSCs.
The high-entropy design of MAX phases is expected to confer superior properties,but its study was hindered by the complex synthesis method and limited purity of *** this work,two noteworthy types of high-entropy MAX p...
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The high-entropy design of MAX phases is expected to confer superior properties,but its study was hindered by the complex synthesis method and limited purity of *** this work,two noteworthy types of high-entropy MAX phase structural ceramics,high-entropy(TiVNbTaM)_(2)AlC(M=Zr,Hf),were designed and prepared by the in-situ synthesis using spark plasma sintering(SPS).The microstructure and lattice parameters of sintered samples were *** with the single-component MAX phases,the highly pure high-entropy(TiVNbTaZr)_(2)AlC sample had good physical and mechanical properties,including electrical conductivity of 0.96×106Ω^(-1)·m^(-1),thermal expansion coefficient of 3.65×10^(-6) K^(-1),thermal conductivity of 8.98 W·m^(-1)·K^(-1),Vickers hardness of 9.80 GPa,flexural strength of 507 MPa,fracture toughness of 5.62 MPa·m^(1/2),and compressive strength of 1364 MPa,which exhibited the remarkable hardening-strengthening effect.
The excessive use of nonrenewable energy has brought about serious greenhouse *** CO_(2) into high-value-added chemicals is undoubtedly the best choice to solve energy *** to the excellent cost-effectiveness and drama...
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The excessive use of nonrenewable energy has brought about serious greenhouse *** CO_(2) into high-value-added chemicals is undoubtedly the best choice to solve energy *** to the excellent cost-effectiveness and dramatic catalytic performance,nickel-based catalysts have been considered as the most promising candidates for the electrocatalytic CO_(2) reduction reaction(eCO_(2)RR).In this work,the electrocatalytic reduction mechanism of CO_(2) over Ni-based materials is *** strategies to improve the eCO_(2)RR performance are ***,the research on Ni-based materials for syngas generation is briefly ***,the prospects of nickel-based materials in the eCO_(2)RR are provided with the hope of improving transition-metal-based electrocatalysts for eCO_(2)RR in the future.
Device simulation is an important method of embedded device security analysis, due to the extensive and heterogeneous nature of the current peripherals, the existing simulation technology for peripheral simulation is ...
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As a carrier of genetic information,DNA is a versatile module for fabricating nanostructures and *** molecules could be integrated into DNA by precise base complementary pairing,greatly expanding the functions of DNA ...
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As a carrier of genetic information,DNA is a versatile module for fabricating nanostructures and *** molecules could be integrated into DNA by precise base complementary pairing,greatly expanding the functions of DNA *** functions endow DNA nanomaterials with great potential in the application of biomedical *** recent years,functional DNA nanomaterials have been rapidly investigated and *** have been reviews that classified DNA nanomaterials from the perspective of functions,while this review primarily focuses on the preparation methods of functional DNA *** review comprehensively introduces the preparation methods of DNA nanomaterials with functions such as molecular recognition,nanozyme catalysis,drug delivery,and biomedical material ***,the latest application progress of functional DNA nanomaterials is systematically ***,current challenges and future prospects for functional DNA nanomaterials are discussed.
Solvation structures fundamentally control the ion-transport dynamics and mechanical properties of polymer ***,there is a lack of strategies to rationally regulate the solvation structures and fundamental understandin...
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Solvation structures fundamentally control the ion-transport dynamics and mechanical properties of polymer ***,there is a lack of strategies to rationally regulate the solvation structures and fundamental understanding on how they control the electrochemical ***,by harnessing the electrostatic adsorption of one-dimensional nanofiller(i.e.,surface-charged halloysite nanotubes,d-HNTs),we successfully fabricate a high-performance polymer nanocomposite electrolyte enabled by strong surface adsorption,referred as adsorption-state polymer electrolyte(ASPE).This ASPE shows fast ion transport(0.71±0.05 mS cm^(-1)at room temperature),high mechanical strength and toughness(10.3±0.05 MPa;15.73 MJ m^(-3)),improved lithium-ion transference number,and long cycle life with lithium metal anode,in comparison with the sample without the d-HNT adsorption *** fundamentally understand these high performances,an anion-rich asymmetric solvent structure model is further proposed and evidenced by both experiments and simulation *** show that the electrostatic adsorption among the d-HNT,ionic liquid electrolyte,and polymer chain generates a nano filler-supported fast ion-conduction pathway with asymmetric Li+-coordination ***,the anion-rich asymmetric solvent structure model of ASPE also generates a fast de-solvation and anion-derived stable solid-electrolyte interphase for lithium metal *** high performance and understanding of the mechanism for ASPE provide a promising path to develop advanced polymer electrolytes.
Multiphase composition design is a strategy for optimizing the microstructures and properties of ceramic materials through mutual inhibition of grain growth, complementary property improvement, or even mutually reinfo...
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Multiphase composition design is a strategy for optimizing the microstructures and properties of ceramic materials through mutual inhibition of grain growth, complementary property improvement, or even mutually reinforcing effects. More interesting phenomena can be expected if chemical interactions between the constituent phases exist. In this study, spark plasma sintering was used to prepare fully dense dual-phase (Zr,Hf,Ta)B_(2)–(Zr,Hf,Ta)C ceramics from self-synthesized equimolar medium-entropy diboride and carbide powders. The obtained ceramics were composed of two distinct solid solution phases, the Zr-rich diboride phase and the Ta-rich carbide phase, indicating that metal element exchange occurred between the starting equimolar medium-entropy diboride and carbide phases during sintering. Owing to the mutual grain-boundary pinning effect, fine-grained dual-phase ceramics were obtained. The chemical driving force originating from metal element exchange during the sintering process is considered to promote the densification process of the ceramics. The metal element exchange between the medium-entropy diboride and carbide phases significantly increased the Young’s modulus of the dual-phase ceramics. The dual-phase medium-entropy 50 vol% (Zr,Hf,Ta)B_(2)–50 vol% (Zr,Hf,Ta)C ceramics with the smallest grain size exhibited the highest hardness of 22.4±0.2 GPa. It is inferred that optimized comprehensive properties or performance of dual-phase high-entropy or medium-entropy ceramics of diborides and carbides can be achieved by adjusting both the volume content and the metal element composition of the corresponding starting powders of diborides and carbides.
Pushing artificial intelligence(AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things(AIoT) in the sixth-gen...
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Pushing artificial intelligence(AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things(AIoT) in the sixth-generation(6G) era. This gives rise to an emerging research area known as edge intelligence, which concerns the distillation of human-like intelligence from the vast amount of data scattered at the wireless network edge. Typically, realizing edge intelligence corresponds to the processes of sensing, communication,and computation, which are coupled ingredients for data generation, exchanging, and processing, ***, conventional wireless networks design the three mentioned ingredients separately in a task-agnostic manner, which leads to difficulties in accommodating the stringent demands of ultra-low latency, ultra-high reliability, and high capacity in emerging AI applications like auto-driving and metaverse. This thus prompts a new design paradigm of seamlessly integrated sensing, communication, and computation(ISCC) in a taskoriented manner, which comprehensively accounts for the use of the data in downstream AI tasks. In view of its growing interest, this study provides a timely overview of ISCC for edge intelligence by introducing its basic concept, design challenges, and enabling techniques, surveying the state-of-the-art advancements, and shedding light on the road ahead.
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