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Engineering ambient superconductivity and hardness in cage-like borides with s-block and d-block metals 认领 引用
1
作者 Jingkun Yu Xue Yong Siyu Lu 《Science China Materials》 SCIE EI CAS CSCD 2026年第7期4258-4267,共10页
Borides,exhibiting complex bonding and structural diversity,are promising materials in the fields of ambient superconductivity and hard materials.Although some cage borides with either superhard or superconductivity h... Borides,exhibiting complex bonding and structural diversity,are promising materials in the fields of ambient superconductivity and hard materials.Although some cage borides with either superhard or superconductivity have been reported,there is still a lack of systematic tuning of the metal centers in regulating their superconductivity and hardness.This study investigates the impact of s-block/d-block metal elements on the superconducting and hardness properties of boron cage lattices under ambient conditions.Using first-principles calculations,we predict a novel class of stable cage-like metallic borides,MB8(M=Na,Be,Mg,Sr,Sc,Y,Ti,Zr,Hf,V,Nb,Ta)characterized by metal embedded in B–B sublattices composed of 4/8 member B-rings.Superconductivity,hardness,and electronic structure calculations indicate that s-block and d-block metals influence the p-orbital occupancy of B bands,affecting both the electron-phonon coupling(EPC)constant and the bonding strength.In general,within the I422 MB8(B16 cage)structural family investigated here at ambient pressure,s-block metals enhance the EPC constant(λ)and favour higher superconducting critical temperature(Tc)but weaken the hardness,whereas d-block metals contribute the opposite.Therefore,the Tc of NaB8 reached 24.4 K,which is among the highest values reported for boron cage compounds,while ZrB8 from d-block metals exhibits the highest hardness(21.9 GPa)among.This work proposes a pathway for designing novel superconductors with robust mechanical performance under ambient pressure and elucidates the distinct roles of s-block and d-block metals in modulating the superconductivity and hardness of cage-like borides. 展开更多
关键词 first principle calculations cage-like borides ambient pressure superconductivity hard superconductors
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Synaptic Plasticity Engineering for Neural Precision,Temporal Learning,and Scalable Neuromorphic Systems 认领 引用
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作者 Zhengjun Liu Yuxiao Fang +2 位作者 Qing Liu Bobo Tian Chun Zhao 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第6期488-530,共43页
Manipulating the expression of synaptic plasticity in neuromorphic devices provides essential foundations for developing intelligent,adaptive hardware systems.In recent years,advances have shifted from static emulatio... Manipulating the expression of synaptic plasticity in neuromorphic devices provides essential foundations for developing intelligent,adaptive hardware systems.In recent years,advances have shifted from static emulation toward dynamic,network-oriented plasticity design,offering enhanced computational accuracy and functional relevance.This review highlights how diversified plasticity behaviors,including multilevel long-term potentiation and depression for spatial models,tunable short-term memory for temporal models,as well as wavelength-selective response,excitatory and inhibitory synergy,and adaptive threshold modulation,collectively support key tasks such as stable learning,temporal processing,and context-aware adaptation.Beyond behavioral innovations,strategies such as multifunctional single-device integration,multimodal fusion,and heterogeneous system assembly enable compact,energy-efficient,and versatile neuromorphic architectures.Recent developments at the array level further demonstrate high-performance scalability and system-level applicability.Despite notable progress,current modulation strategies remain constrained in flexibility,diversity,and large-scale coordination.Future research should focus on enriching the behavioral repertoire of plasticity,advancing crossmodal convergence,and improving array-level uniformity,paving the way toward deployable,high-efficiency neuromorphic intelligence. 展开更多
关键词 Neuromorphic hardware Synaptic plasticity Edge artificial intelligence
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AI-Driven Interaction and Collaborative Optimization of Vehicle,Charging Station and Grid:Challenges and Prospects 认领 引用
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作者 Bo Yang Zhe Jiang +3 位作者 Jianfeng Wen Ning Yang Kaiping Qu Shuai Zhou 《Energy Engineering》 EI 2025年第6期2187-2195,共9页
1 Introduction Amid escalating global climate change,the“dual carbon”goals of carbon peak and carbon neutrality have become a focal point of global attention and an important strategy for sustainable development[1].... 1 Introduction Amid escalating global climate change,the“dual carbon”goals of carbon peak and carbon neutrality have become a focal point of global attention and an important strategy for sustainable development[1].With the rapid development of renewable energy technologies and the increasing public demand for environmental protection and low-carbon living,the adoption of new energy vehicles,particularly electric vehicles(EVs). 展开更多
关键词 Vehicle-to-grid(V2G)interaction artificial intelligence collaborative optimization electric vehicles grid scheduling
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Li10Bi:A lithium-rich electride with coexisting superconductivity and solid-state lithium-ion conductivity 认领 引用
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作者 Jingkun Yu Xue Yong Siyu Lu 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期77-84,共8页
Electrides,characterized by interstitial quasi-atoms(ISQs)where electrons occupy lattice voids instead of atomic orbitals,provide a unique platform for discovering novel superconductors and mixed-conduction materials.... Electrides,characterized by interstitial quasi-atoms(ISQs)where electrons occupy lattice voids instead of atomic orbitals,provide a unique platform for discovering novel superconductors and mixed-conduction materials.Here,using crystal structure prediction combined with first-principles calculations,we systematically explore lithium-rich Li-Bi compounds under high pressure.Several new Li-rich stoichiometries,LiBi,Li11Bi2,Li9Bi,and Li10Bi,are identified as thermodynamically stable.Among them,the C2/m phase of Li10Bi features one-dimensional ISQ networks,exhibiting both metallic and electride characteristics.Electron-phonon coupling analysis reveals a dome-shaped evolution of superconducting transition temperature(Tc),reaching a maximum value of 9.9 K at 35 GPa,where the superconductivity is primarily driven by strong Li-derived phonon modes.Ab initio molecular dynamics simulations further reveal a temperature-induced superionic transition above 700 K,where Li+ions diffuse freely while Bi atoms remain fixed within the lattice.This coexistence of superconductivity and superionicity within a single crystalline framework highlights Li10Bi as a prototype dual-functional electride,bridging the gap between quantum superconductors and solid-state lithium-ion conductors.These findings open a new route for designing multifunctional materials that integrate electronic and ionic transport for next-generation energy and quantum applications. 展开更多
关键词 high pressure electrides structural search superconductivity
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p-GaN HEMT current reference and current mirror for high temperature application 认领 引用
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作者 Pingyu Cao Kepeng Zhao +5 位作者 Zhengxuan Li Yihao Xu Ping Zhang Harm Van Zalinge Miao Cui Fei Xue 《Journal of Semiconductors》 EI CAS CSCD 2026年第4期93-101,共9页
This paper demonstrates a monolithically integrated current reference and current mirror based on p-GaN gate HEMT technology,designed for high-temperature applications.The p-GaN current reference is composed of one D-... This paper demonstrates a monolithically integrated current reference and current mirror based on p-GaN gate HEMT technology,designed for high-temperature applications.The p-GaN current reference is composed of one D-mode and two E-mode devices.The generated reference current is independent of supply voltage since the proposed circuit incorporates a bias circuit capable of providing a supply-voltage-insensitive bias voltage.Moreover,under the zero-temperature coefficient(ZTC)bias voltage condition,the variation in the generated reference current at 200℃ is reduced by 15.4%,compared to a conventional p-GaN current reference with a bias voltage of 5 V.Experimental results indicate that the generated reference current slightly reduced from 2.53 to 1.70 mA over a broad temperature range of 25-200℃.In addition,a current mirror circuit based on p-GaN HEMT technology was designed to imitate a reference current.The influence of temperature on the output current of the current mirror is mitigated,which could be realised by biasing the gate-to-source voltage at the zero-temperature coefficient voltage.This design sustains the current mirror mismatch error with small variation across a temperature range from room temperature to 200℃.These results indicate that the GaN current reference and current mirror under zero-temperature coefficient bias voltage can ensure stable output current across different temperatures,facilitating the application of fully GaN integrated circuits in high-temperature environments. 展开更多
关键词 p-GaN HEMTs current reference current mirror high-temperature application supply voltage insensitivity monolithic integration
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State-of-the-art review of MPPT techniques for hybrid PV-TEG systems:modeling,methodologies,and perspectives 认领 引用 被引量：12
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作者 Bo Yang Rui Xie +1 位作者 Jinhang Duan Jingbo Wang 《Global Energy Interconnection》 EI CSCD 2023年第5期567-591,共25页
The development of alternative renewable energy technologies is crucial for alleviating climate change and promoting energy transformation.Of the currently available technologies,solar energy has promising application... The development of alternative renewable energy technologies is crucial for alleviating climate change and promoting energy transformation.Of the currently available technologies,solar energy has promising application prospects owing to its merits of being clean,safe,and sustainable.Solar energy is converted into electricity through photovoltaic(PV)cells;however,the overall conversion efficiency of PV modules is relatively low,and most of the captured solar energy is dissipated in the form of heat.This not only reduces the power generation efficiency of solar cells but may also have a negative impact on the electrical parameters of PV modules and the service life of PV cells.To overcome the shortcomings,an efficient approach involves combining a PV cell with a thermoelectric generator(TEG)to form hybrid PV-TEG systems,which simultaneously improve the energy conversion efficiency of the PV system by reducing the operating temperature of the PV modules and increasing the power output by utilizing the waste heat generated from the PV system to generate electricity via the TEGs.Based on a thorough examination of the literature,this study comprehensively reviews 14 maximum power point tracking(MPPT)algorithms currently applied to hybrid PV-TEG systems and classifies them into five major categories for further discussion,namely conventional,mathematics-based,metaheuristic,artificial intelligence,and other algorithms.This review aims to inspire advanced ideas and research on MPPT algorithms for hybrid PV-TEG systems. 展开更多
关键词 Photovoltaic Thermoelectric generator Hybrid PV-TEG MPPT Partial shading condition
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Analysis of temperature field for a surface-mounted and interior permanent magnet synchronous motor adopting magnetic-thermal coupling method 认领 引用 被引量：10
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作者 Jikai Si Suzhen Zhao +2 位作者 Haichao Feng Yihua Hu Wenping Cao 《CES Transactions on Electrical Machines and Systems》 CSCD 2018年第1期166-174,共9页
Aiming at obtaining high power density of surface-mounted and interior permanent magnet synchronous motor(SIPMSM),it is important to accurately calculate the temperature field distribution of SIPMSM,and a magnetic-the... Aiming at obtaining high power density of surface-mounted and interior permanent magnet synchronous motor(SIPMSM),it is important to accurately calculate the temperature field distribution of SIPMSM,and a magnetic-thermal coupling method is proposed.The magnetic-thermal coupling mechanism is analyzed.The thermal network model and finite element model are built by this method,respectively.The effects of power frequency on iron losses and temperature fields are analyzed by the magnetic-thermal coupling finite element model under the condition of rated load,and the relationship between the load and temperature field is researched under the condition of the synchronous speed.In addition,the equivalent thermal network model is used to verify the magnetic-thermal coupling method.Then the temperatures of various nodes are obtained.The results show that there are advantages in both computational efficiency and accuracy for the proposed coupling method,which can be applied to other permanent magnet motors with complex structures. 展开更多
关键词 Equivalent thermal network method magnetic-thermal coupling method power frequency iron loss surface-mounted and interior permanent magnet synchronous motor(SIPMSM) temperature field
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Plasma-assisted ammonia synthesis in a packed-bed dielectric barrier discharge reactor:roles of dielectric constant and thermal conductivity of packing materials 认领 引用 被引量：2
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作者 Jin LIU Xinbo ZHU +1 位作者 Xueli HU Xin TU 《Plasma Science and Technology》 SCIE EI CAS CSCD 2022年第2期127-136,共10页
In this article,plasma-assisted NH;synthesis directly from N;and H;over packing materials with different dielectric constants(BaTiO2,TiO2 and SiO2)and thermal conductivities(Be O,Al N and Al2O2)at room ... In this article,plasma-assisted NH;synthesis directly from N;and H;over packing materials with different dielectric constants(BaTiO2,TiO2 and SiO2)and thermal conductivities(Be O,Al N and Al2O2)at room temperature and atmospheric pressure is reported.The higher dielectric constant and thermal conductivity of packing material are found to be the key parameters in enhancing the NH;synthesis performance.The NH;concentration of 1344 ppm is achieved in the presence of BaTiO2,which is 106%higher than that of SiO2,at the specific input energy(SIE)of 5.4 k J·l-1.The presence of materials with higher dielectric constant,i.e.BaTiO2 and TiO2in this work,would contribute to the increase of electron energy and energy injected to plasma,which is conductive to the generation of chemically active species by electron-impact reactions.Therefore,the employment of packing materials with higher dielectric constant has proved to be beneficial for NH;synthesis.Compared to that of Al2O3,the presence of Be O and Al N yields 31.0%and 16.9%improvement in NH;concentration,respectively,at the SIE of5.4 k J·l-1.The results of IR imaging show that the addition of Be O decreases the surface temperature of the packed region by 20.5%to 70.3℃ and results in an extension of entropy increment compared to that of Al2O3,at the SIE of 5.4 k J·l-1.The results indicate that the presence of materials with higher thermal conductivity is beneficial for NH;synthesis,which has been confirmed by the lower surface temperature and higher entropy increment of the packed region.In addition,when SIE is higher than the optimal value,further increasing SIE would lead to the decrease of energy efficiency,which would be related to the exacerbation in reverse reaction of NH;formation reactions. 展开更多
关键词 dielectric barrier discharge ammonia synthesis packing materials thermal conductivity dielectric constant
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Assessment on Fault Diagnosis and State Evaluation of New Power Grid:AReview 认领 引用 被引量：1
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作者 Bo Yang Yulin Li +3 位作者 Yaxing Ren Yixuan Chen Xiaoshun Zhang Jingbo Wang 《Energy Engineering》 EI 2023年第6期1287-1293,共7页
1 Introduction The proposal of the concept of“New Power System”aims to illustrate the transform direction of the traditional power system,acting as the development core of the future new power grid.To achieve this,t... 1 Introduction The proposal of the concept of“New Power System”aims to illustrate the transform direction of the traditional power system,acting as the development core of the future new power grid.To achieve this,the proposed strategic targets of“carbon neutralization and carbon peaking”must be implemented and insisted[1].The core feature of the new power system is that renewable energy plays a leading role and becomes the main source of energy supply,meanwhile,the goal of green energy utilization has also been put forward on the agenda.Green energy utilization includes two aspects,one is the exploitation and promotion of various green energy technologies,and the other is the digitalization of energy management.Under this trend,stochastic and fluctuating energy sources such as wind power and photovoltaic power replace deterministic controllable power sources such as thermal power,bringing challenges to power grid regulation and dispatching,as well as flexible operation.The large-scale integration of renewable energy and increasingly high proportion of power electronic equipment tend to bring about fundamental changes in the operation characteristics,safety control,and production mode of the power system. 展开更多
关键词 Carbon neutrality and carbon peak goals renewable energy fault diagnosis state evaluation new power grid
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Optimal power extraction of PV-TEG hybrid system via fitness-distance-balance-based beluga whale optimization 认领 引用 被引量：4
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作者 Bo Yang Boxiao Liang +4 位作者 Shaocong Wu Hongbiao Li Dengke Gao Lin Jiang Jingbo Wang 《Global Energy Interconnection》 EI CSCD 2025年第1期43-61,共19页
This study integrates the individual photovoltaic(PV)and thermoelectric generator(TEG)systems into a PV-TEG hybrid system to improve its overall power output by reutilizing the waste heat generated during PV power pro... This study integrates the individual photovoltaic(PV)and thermoelectric generator(TEG)systems into a PV-TEG hybrid system to improve its overall power output by reutilizing the waste heat generated during PV power production to enhance its operational relia-bility.However,stochastic environmental conditions often result in partial shading conditions and nonuniform thermal distribution across the PV-TEG modules,which negatively affect the output characteristics of the system,thus presenting a significant challenge to maintaining their optimal performance.To address these challenges,a novel fitness-distance-balance-based beluga whale optimization(FDBBWO)strategy has been devised for maximizing the power output of the PV-TEG hybrid system under dynamic operation scenar-ios.A broader spectrum of complex and authentic operational contexts has been considered in case studies to examine the effectiveness and feasibility of FDBBWO.For this,real-world datasets collected from different seasons in Hong Kong have been used to validate the practical viability of the proposed strategy.Simulation results reveal that the FDBBWO based maximum power point tracking technique outperforms its competing methods by achieving the highest energy output,with a remarkable increase of up to 134.25%with minimal power fluctuations.For instance,the energy obtained by FDBBWO is 47.45%and 58.34%higher than BWO and perturb and observe methods,respectively,in the winter season. 展开更多
关键词 Photovoltaic-thermoelectric-generator Hybrid system Maximum power point tracking Partial shading conditions Fitness-distance-balance-based beluga whale optimization SimuNPS
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Extraction of typical operating scenarios of new power system based on deep time series aggregation 认领 引用 被引量：2
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作者 Zhaoyang Qu Zhenming Zhang +5 位作者 Nan Qu Yuguang Zhou Yang Li Tao Jiang Min Li Chao Long 《CAAI Transactions on Intelligence Technology》 SCIE EI CSCD 2025年第1期283-299,共17页
Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system.A novel deep time series aggregation scheme(DTSAs)is proposed to generate typical operational s... Extracting typical operational scenarios is essential for making flexible decisions in the dispatch of a new power system.A novel deep time series aggregation scheme(DTSAs)is proposed to generate typical operational scenarios,considering the large amount of historical operational snapshot data.Specifically,DTSAs analyse the intrinsic mechanisms of different scheduling operational scenario switching to mathematically represent typical operational scenarios.A Gramian angular summation field-based operational scenario image encoder was designed to convert operational scenario sequences into highdimensional spaces.This enables DTSAs to fully capture the spatiotemporal characteristics of new power systems using deep feature iterative aggregation models.The encoder also facilitates the generation of typical operational scenarios that conform to historical data distributions while ensuring the integrity of grid operational snapshots.Case studies demonstrate that the proposed method extracted new fine-grained power system dispatch schemes and outperformed the latest high-dimensional feature-screening methods.In addition,experiments with different new energy access ratios were conducted to verify the robustness of the proposed method.DTSAs enable dispatchers to master the operation experience of the power system in advance,and actively respond to the dynamic changes of the operation scenarios under the high access rate of new energy. 展开更多
关键词 convolutional neural networks deep time series aggregation high proportion of new energy new power system operation scenario image encoder power system operation mode
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Efficient identification of photovoltaic cell parameters via Bayesian neural network-artificial ecosystem optimization algorithm 认领 引用
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作者 Bo Yang Ruyi Zheng +2 位作者 Yucun Qian Boxiao Liang Jingbo Wang 《Global Energy Interconnection》 EI CSCD 2025年第2期316-337,共22页
Accurate identification of unknown internal parameters in photovoltaic(PV)cells is crucial and significantly affects the subsequent system-performance analysis and control.However,noise,insufficient data acquisition,a... Accurate identification of unknown internal parameters in photovoltaic(PV)cells is crucial and significantly affects the subsequent system-performance analysis and control.However,noise,insufficient data acquisition,and loss of recorded data can deteriorate the extraction accuracy of unknown parameters.Hence,this study proposes an intelligent parameter-identification strategy that integrates artificial ecosystem optimization(AEO)and a Bayesian neural network(BNN)for PV cell parameter extraction.A BNN is used for data preprocessing,including data denoising and prediction.Furthermore,the AEO algorithm is utilized to identify unknown parameters in the single-diode model(SDM),double-diode model(DDM),and three-diode model(TDM).Nine other metaheuristic algorithms(MhAs)are adopted for an unbiased and comprehensive validation.Simulation results show that BNN-based data preprocessing com-bined with effective MhAs significantly improve the parameter-extraction accuracy and stability compared with methods without data preprocessing.For instance,under denoised data,the accuracies of the SDM,DDM,and TDM increase by 99.69%,99.70%,and 99.69%,respectively,whereas their accuracy improvements increase by 66.71%,59.65%,and 70.36%,respectively. 展开更多
关键词 Photovoltaic cell Bayesian neural network Artificial ecosystem optimization Parameter identification
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Meta-analysis of CO2 conversion,energy efficiency,and other performance data of plasma-catalysis reactors with the open access PIONEER database 认领 引用 被引量：3
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作者 Antoine Salden Maik Budde +28 位作者 Carolina A.Garcia-Soto Omar Biondo Jairo Barauna Marzia Faedda Beatrice Musig ChloéFromentin Minh Nguyen-Quang Harry Philpott Golshid Hasrack Domenico Aceto Yuxiang Cai Federico Azzolina Jury Annemie Bogaerts Patrick Da Costa Richard Engeln María Elena Gálvez Timo Gans Tomas Garcia Vasco Guerra Carlos Henriques Monika Motak Maria Victoria Navarro Vasile I.Parvulescu Gerard Van Rooij Bogdan Samojeden Ana Sobota Paolo Tosi Xin Tu Olivier Guaitella 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2023年第11期318-342,I0007,共25页
This paper brings the comparison of performances of CO2conversion by plasma and plasma-assisted catalysis based on the data collected from literature in this field,organised in an open access online database.This t... This paper brings the comparison of performances of CO2conversion by plasma and plasma-assisted catalysis based on the data collected from literature in this field,organised in an open access online database.This tool is open to all users to carry out their own analyses,but also to contributors who wish to add their data to the database in order to improve the relevance of the comparisons made,and ultimately to improve the efficiency of CO2conversion by plasma-catalysis.The creation of this database and database user interface is motivated by the fact that plasma-catalysis is a fast-growing field for all CO2conversion processes,be it methanation,dry reforming of methane,methanolisation,or others.As a result of this rapid increase,there is a need for a set of standard procedures to rigorously compare performances of different systems.However,this is currently not possible because the fundamental mechanisms of plasma-catalysis are still too poorly understood to define these standard procedures.Fortunately however,the accumulated data within the CO2plasma-catalysis community has become large enough to warrant so-called“big data”studies more familiar in the fields of medicine and the social sciences.To enable comparisons between multiple data sets and make future research more effective,this work proposes the first database on CO2conversion performances by plasma-catalysis open to the whole community.This database has been initiated in the framework of a H2020 European project and is called the“PIONEER Data Base”.The database gathers a large amount of CO2conversion performance data such as conversion rate,energy efficiency,and selectivity for numerous plasma sources coupled with or without a catalyst.Each data set is associated with metadata describing the gas mixture,the plasma source,the nature of the catalyst,and the form of coupling with the plasma.Beyond the database itself,a data extraction tool with direct visualisation features or advanced filtering functionalities has been developed and is available online to the public.The simple and fast visualisation of the state of the art puts new results into context,identifies literal gaps in data,and consequently points towards promising research routes.More advanced data extraction illustrates the impact that the database can have in the understanding of plasma-catalyst coupling.Lessons learned from the review of a large amount of literature during the setup of the database lead to best practice advice to increase comparability between future CO2plasma-catalytic studies.Finally,the community is strongly encouraged to contribute to the database not only to increase the visibility of their data but also the relevance of the comparisons allowed by this tool. 展开更多
关键词 Open-access database on plasma-catalysis experiment CO2 conversion Plasma-catalysis Carbon capture and utilisation(CCU) Energy efficiency Specific energy input Dielectric barrier discharge Packed bed reactor Methanation Dry reforming of methane
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An Investigation of Wideband Rectennas for Wireless Energy Harvesting 认领 引用 被引量：1
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作者 Jing-Wei Zhang Yi Huang Ping Cao 《Wireless Engineering and Technology》 2014年第4期107-116,共10页
This paper is focused on a wireless energy harvesting system using a rectifying antenna (rectenna). The proposed device consists of a wideband cross-dipole antenna, a microwave low-pass filter and a doubling rectifyin... This paper is focused on a wireless energy harvesting system using a rectifying antenna (rectenna). The proposed device consists of a wideband cross-dipole antenna, a microwave low-pass filter and a doubling rectifying circuit using Shottcky diodes as rectifying elements. Previously, a few of wideband rectennas have been investigated at 1.7 to 2.5 GHz. The originality of this paper is on the new wideband rectenna design which can harvest the ambient radio frequency (RF) power at 1.7 to 2.5 GHz. In this system, a new wideband cross dipole is designed and used to achieve the required bandwidth and duel-polarization. In addition, the voltage doubling rectifying circuit is optimized to achieve the best performance at power density levels 2 which are typical in urban environments. The characteristics of the proposed rectenna over the desired frequency range are investigated, and the integrated rectenna is simulated, made and tested for low input power densities from 5 to 200 μW/cm2. The simulation and measurement results of the rectenna are compared and a good agreement is achieved. The results demonstrate that the maximum rectenna conversion efficiency is nearly 57% around 1.7 GHz and over 20% over the wideband of interest for the incident power density of 120 μW/cm2. It is noted that the impedance matching is one of the main factors affecting the rectenna energy conversion efficiency. This new wideband rectenna has great potential to harvest wireless energy in GSM/3G/4G and ISM 2.4 GHz bands. 展开更多
关键词 Rectennas Wireless Energy Harvesting Wideband Dipoles Rectenna Conversion Efficiency
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Strong metal support interaction in Ru/La2O3 catalyst for plasma enhanced ammonia decomposition to produce hydrogen 认领 引用
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作者 Zhijun Wang Huilin He +11 位作者 Jiyou Deng Yi Duan Ke Zhang Xiayu Qiu Guangjiu Lei Shaofei Geng Guoyao Zheng Qi Sun Lei Zhang Xin Tu Kun Zhang Bin Zhao 《Journal of Rare Earths》 SCIE EI CAS CSCD 2026年第5期1477-1489,共13页
Ammonia is a promising carbon-free hydrogen carrier owing to its high volumetric H2 density.To facilitate practical applications,developing efficient catalysts and facile reaction methodologies is highly demanded f... Ammonia is a promising carbon-free hydrogen carrier owing to its high volumetric H2 density.To facilitate practical applications,developing efficient catalysts and facile reaction methodologies is highly demanded for the production of high-purity H2 with minimum energy consumption.In this study,plasma-catalytic ammonia decomposition was investigated using Ru/La2O3 catalysts synthesized via a straightforward wet impregnation method.The metal-support interaction(MSI)between Ru and La2O3 was modulated by varying the calcination temperature.Surface reaction behavior analysis of the ammonia decomposition catalysts reveals that the strong MSI provided by the Ru/La2O3 catalyst calcined at 850℃ significantly enhances the desorption of N and H atoms from the catalyst surface.When combined with dielectric barrier discharge(DBD)plasma,the dissociation of the N-H bond is markedly promoted,leading to a substantial increase in ammonia decomposition reactivity.The Ru/La2O3-850 catalyst achieves an impressive energy efficiency of 20.7 mol/(gcat.kWh)at 99%NH3 conversion,and stable performance for plasma-catalyzed ammonia decomposition.This study presents a synergistic strategy to enhance the rate-determining steps of ammonia decomposition through the integration of plasma and catalyst. 展开更多
关键词 Ammonia decomposition Ru/La2O3catalyst Strong metal support interaction Plasma catalysis Hydrogen production Rare earths
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Real-Time 3D Scene Perception in Dynamic Urban Environments via Street Detection Gaussians 认领 引用
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作者 Yu Du Runwei Guan +4 位作者 Ho-Pun Lam Jeremy Smith Yutao Yue KaLok Man Yan Li 《Computers, Materials & Continua》 SCIE EI 2026年第4期1384-1402,共19页
As a cornerstone for applications such as autonomous driving,3D urban perception is a burgeoning field of study.Enhancing the performance and robustness of these perception systems is crucial for ensuring the safety o... As a cornerstone for applications such as autonomous driving,3D urban perception is a burgeoning field of study.Enhancing the performance and robustness of these perception systems is crucial for ensuring the safety of next-generation autonomous vehicles.In this work,we introduce a novel neural scene representation called Street Detection Gaussians(SDGs),which redefines urban 3D perception through an integrated architecture unifying reconstruction and detection.At its core lies the dynamic Gaussian representation,where time-conditioned parameterization enables simultaneous modeling of static environments and dynamic objects through physically constrained Gaussian evolution.The framework’s radar-enhanced perception module learns cross-modal correlations between sparse radardata anddense visual features,resulting ina22%reduction inocclusionerrors compared tovisiononly systems.A breakthrough differentiable rendering pipeline back-propagates semantic detection losses throughout the entire 3D reconstruction process,enabling the optimization of both geometric and semantic fidelity.Evaluated on the Waymo Open Dataset and the KITTI Dataset,the system achieves real-time performance(135 Frames Per Second(FPS)),photorealistic quality(Peak Signal-to-Noise Ratio(PSNR)34.9 dB),and state-of-the-art detection accuracy(78.1%Mean Average Precision(mAP)),demonstrating a 3.8×end-to-end improvement over existing hybrid approaches while enabling seamless integration with autonomous driving stacks. 展开更多
关键词 Radar-vision fusion differentiable rendering autonomous driving perception 3D reconstruction occlusion robustness
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Ghost-Attention You Only Look Once(GA-YOLO):Enhancing Small Object Detection for Traffic Monitoring 认领 引用
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作者 Xinyue Zhang Yuxuan Zhao +5 位作者 Jeremy S.Smith Yuechun Wang Gabriela Mogos Ka Lok Man Yutao Yue Young-Ae Jung 《Computers, Materials & Continua》 SCIE EI 2026年第5期1773-1804,共32页
Intelligent Transportation Systems(ITS)represent a cornerstone in modern traffic management,leveraging surveillance cameras as primary visual sensors to monitor road conditions.However,the fixed characteristics of pub... Intelligent Transportation Systems(ITS)represent a cornerstone in modern traffic management,leveraging surveillance cameras as primary visual sensors to monitor road conditions.However,the fixed characteristics of public surveillance cameras,coupled with inherent image resolution limitations,pose significant challenges for Small ObjectDetection(SOD)in traffic surveillance.To address these challenges,this paper proposes Ghost-Attention YOLO(GA-YOLO),a lightweight model derived from YOLOv8 and specifically designed for traffic SOD.To enhance the attention of small targets and critical features,a novel channel-spatial attentionmechanism,termed Small-object Extend Attention(SEA),is introduced.In addition,the original C2fmodule is replaced with a more efficient Cross-Stage Partial(CSP)module,C3k2,to achieve improved feature processing with lower cost.Building upon these designs,a CSP-based Ghost Bottleneck with Attention(CGBA)module is further developed by integrating SEA into C3k2 and is deployed within the FPN–PAN network to strengthen feature extraction and fusion.Compared with similar-scale baseline modelsYOLOv8n andYOLOv11n,GA-YOLOdemonstrates clear performance advantages on theUA-DETRACdataset.Specifically,GA-YOLOachieves over 3%improvements in precision and mAP@50,along with a 5.6%gain inmAP@50-95,while reducing the parameter count by nearly 10%and computational complexity by 0.5 GFLOPS compared with YOLOv8n.In addition,GA-YOLO outperforms YOLOv11n by 8.6%in precision and 3.2%in mAP@50-95.These results indicate that GA-YOLO effectively balances detection accuracy and computational efficiency.Furthermore,additional evaluations across varying occlusion levels and representative detection models indicate the effectiveness and practicality of GA-YOLOfor traffic-oriented SODtasks. 展开更多
关键词 Small object detection(SOD) intelligent transportation system(ITS) attention mechanism YOLO
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Characteristics of Atmospheric Pressure Rotating Gliding Arc Plasmas 认领 引用 被引量：6
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作者 张浩 朱凤森 +3 位作者 屠昕 薄拯 岑可法 李晓东 《Plasma Science and Technology》 SCIE EI CAS CSCD 2016年第5期473-477,共5页
In this work, a novel direct current （DC） atmospheric pressure rotating gliding arc （RGA） plasma reactor has been developed for plasma-assisted chemical reactions. The influence of the gas composition and the gas ... In this work, a novel direct current （DC） atmospheric pressure rotating gliding arc （RGA） plasma reactor has been developed for plasma-assisted chemical reactions. The influence of the gas composition and the gas flow rate on the arc dynamic behaviour and the formation of reactive species in the N2 and air gliding arc plasmas has been investigated by means of electrical signals, high speed photography, and optical emission spectroscopic diagnostics. Compared to conventional gliding arc reactors with knife-shaped electrodes which generally require a high flow rate （e.g., 10-20 L/min） to maintain a long arc length and reasonable plasma discharge zone, in this RGA system, a lower gas flow rate （e.g., 2 L/min） can also generate a larger effective plasma reaction zone with a longer arc length for chemical reactions. Two different motion patterns can be clearly observed in the N2 and air RGA plasmas. The time-resolved arc voltage signals show that three different arc dynamic modes, the arc restrike mode, takeover mode, and combined modes, can be clearly identified in the RGA plasmas. The occurrence of different motion and arc dynamic modes is strongly dependent on the composition of the working gas and gas flow rate. 展开更多
关键词 rotating gliding arc （RGA） gas flow rate optical emission spectroscopy motion behavior electrical characteristics
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RF characteristics of wireless capsule endoscopy in human body 认领 引用 被引量：5
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作者 王璟琛 王炤 +3 位作者 Mark Leach LEE Sanghyuk Eng Gee Lim HUANG Yi 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第5期1198-1207,共10页
The wireless capsule endoscope,as a small electronic device,has conquered some limitations of traditional wired diagnosing tools,such as the uncomfortableness of the cables for the patient and the inability to examine... The wireless capsule endoscope,as a small electronic device,has conquered some limitations of traditional wired diagnosing tools,such as the uncomfortableness of the cables for the patient and the inability to examine the very convoluted small intestine section.However,this technique is still encountering a lot of practical challenges and is looking for feasible improvements.This work investigates the RF performance of the wireless capsule endoscope system by studying the electromagnetic(EM) wave propagation within the human body.A wireless capsule endoscopy transmission channel model is constructed to serve the purpose of investigating signal attenuations according to the relative position between the transmitter and the receiver.Within 300-500 MHz,the S21 results are regular and do not display any sudden changes,which allows a suitable expression to be derived for S21 in terms of frequency and offset.The results provide useful information for capsule localization. 展开更多
关键词 wireless capsule endoscopy （WCE） electromagnetic wave propagation signal attenuations positioning transmission channel
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Broadband terahertz time-domain spectroscopy and fast FMCW imaging: Principle and applications 认领 引用 被引量：5
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作者 Yao-Chun Shen Xing-Yu Yang Zi-Jian Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2020年第7期151-158,共8页
We report a broadband terahertz time-domain spectroscopy(THz-TDS)which enables twenty vibrational modes of adenosine nucleoside to be resolved in a wide frequency range of 1-20 THz.The observed spectroscopic features ... We report a broadband terahertz time-domain spectroscopy(THz-TDS)which enables twenty vibrational modes of adenosine nucleoside to be resolved in a wide frequency range of 1-20 THz.The observed spectroscopic features of adenosine are in good agreement with the published spectra obtained using Fourier transform infrared spectroscopy(FTIR)and Raman spectroscopy.This much extended bandwidth leads to enhanced material characterization capability as it provides spectroscopic information on both intra-and inter-molecular vibrations.In addition,we also report a low-cost frequency modulation continuous wave(FMCW)imaging system which has a fast measurement speed of 40000 waveforms per second.Cross-sectional imaging capability through cardboard has also been demonstrated using its excellent penetration capability at a frequency range of 76-81 GHz.We anticipate that the integration of these two complementary imaging technologies would be highly desirable for many real-world applications because it provides both spectroscopic discrimination and penetration capabilities in a single instrument. 展开更多
关键词 terahertz time-domain spectroscopy(THz-TDS) FMCW radar adenosine nucleoside
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