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Design strategies and recent advancements of solid-state supercapacitor operating in wide temperature range

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Carbon Energy 2024年第6期6卷 248-281页

作者： Jie Zhou Zhengfeng zhu Wenhui shi Xiangyu shi zhuoyuan Zheng Ye Xiong Yusong zhu School of Energy Science and Engineering Nanjing Tech UniversityNanjingJiangsuChina Kucap Smart Technology(Nanjing)Co. Ltd.NanjingJiangsuChina

Solid-state supercapacitors(SSCs)are emerging as one of the promising energy storage devices due to their high safety,superior power density,and excellent cycling ***,performance degradation and safety issues under extreme conditions are the main challenges for the practical *** the expansion of human activities,such as space missions,polar exploration,and so on,the investigation of SSC with wide temperature tolerance,high energy density,power density,and sustainability is highly *** this review,the effects of temperature on SSC are systematically illustrated and clarified,including the properties of the electrolyte,ion diffusion,and reaction dynamics of the ***,we summarize the recent advances in wide-temperature-range SSCs from the aspect of electrolyte modification,electrode design,and interface adjustment between electrode and electrolyte,especially with critical concerns on ionic conductivity and cycling *** the end,a perspective is presented,expecting to promote the practical application of the SSC in harsh conditions.

关键词： electrode interface solid-state electrolyte solid-state supercapacitor wide temperature

Multi-disciplinary design optimization with variable complexity modeling for a stratosphere airship

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Chinese Journal of Aeronautics 2019年第5期32卷 1244-1255页

作者： shi YIN Ming zhu Haoquan LIANG School of Aeronautic Science and Engineering Beihang University School of Automation Science and Electrical Engineering Beihang University

This paper proposes a hybrid architecture based on Multi-disciplinary Design Optimization(MDO) with the Variable Complexity Modeling(VCM) method, to solve the problem of general design optimization for a stratosphere airship. Firstly, MDO based on the Concurrent SubSpace Optimization(CSSO) strategy is improved for handling the subsystem coupling problem in stratosphere airship design which contains aerodynamics, structure, and energy. Secondly, the VCM method based on the surrogate model is presented for reducing the computational complexity in high-fidelity modeling without loss of accuracy. Moreover, the global-to-local optimization strategy is added to the architecture to enhance the process. Finally, the result gives a prominent stratosphere airship general solution that validates the feasibility and efficiency of the optimization architecture. Besides, a sensitivity analysis is conducted to outline the critical impact upon stratosphere airship design.

关键词： Multi-disciplinary design optimization Sensitivity analysis Stratosphere airship Surrogate model Variable complexity modeling

GOOD p-ARY QUASIC-CYCLIC CODES FROM CYCLIC CODES OVER F_p+vF_p

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Journal of Systems Science & Complexity 2012年第2期25卷 375-384页

作者： Minjia shi Shanlin YANG shixin zhu School of Mathematical Sciences Anhui University Institute of Computer Network Systems Hefei University of Technology School of Mathematical Sciences Hefei University of Technology

This paper introduces a Gray map from （Fp ＋ vFp）n to F2pn, and describes the relationship between codes over Fp ＋ vFp and their Gray images. The authors prove that every cyclic code of arbitrary length n over Fp ＋ vFp is principal, and determine its generator polynomial as well as the number of cyclic codes. Moreover, the authors obtain many best-known p-ary quasic-cyclic codes in terms of their parameters via the Gray map.

关键词： Cyclic code generator matrix Gray image linear code.

NUMERICAL INVESTIGATION OF CAVITATION PERFORMANCE OF shiP PROPELLERS

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Journal of Hydrodynamics 2012年第3期24卷 347-353页

作者： zhu Zhi-feng FANG shi-liang Key Laboratory of Underwater Acoustic Signal Processing Ministry of Education Southeast University Nanjing 210096 China School of Electrical Engineering and Information Anhui University of Technology Maanshan 243002 China Key Laboratory of Underwater Acoustic Signal Processing Ministry of Education Southeast University Nanjing 210096 China

The cavitation performance of propellers is studied based on viscous multiphase flow theories. With a hybrid grid based on Navier-Stokes （N-S） and bubble dynamics equations, some recent validation results are presented in this paper in the predictions of the thrust, the torque and the vapor volume fraction on the back side of propeller blade for a uniform inflow. The numerical predictions of the hydrodynamic performance and the sheet cavitation under several operating conditions for two propellers agree with the corresponding measured data in general. The thrust and the torque are plotted with respect to the advance rate and the cavitation number. The cavitation performance breakdown is closely related to the strong sheet cavitation around propellers. The models with parameters modified are shown to predict the propeller cavitation well.

关键词： cavitation Reynolds-Averaged Navier-Stokes (RANS) propeller sliding mesh multiphase flow

Visual interpretability for deep learning：a survey

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Frontiers of Information Technology & Electronic Engineering 2018年第1期19卷 27-39页

作者： Quan-shi ZHANG Song-chun zhu University of California Los Angeles California 90095 USA

This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable/disentangled middle-layer *** deep neural networks have exhibited superior performance in various tasks,interpretability is always Achilles' heel of deep neural *** present,deep neural networks obtain high discrimination power at the cost of a low interpretability of their black-box *** believe that high model interpretability may help people break several bottlenecks of deep learning,e.g.,learning from a few annotations,learning via human–computer communications at the semantic level,and semantically debugging network *** focus on convolutional neural networks(CNNs),and revisit the visualization of CNN representations,methods of diagnosing representations of pre-trained CNNs,approaches for disentangling pre-trained CNN representations,learning of CNNs with disentangled representations,and middle-to-end learning based on model ***,we discuss prospective trends in explainable artificial intelligence.

关键词： Artificial intelligence Deep learning Interpretable model

Gottfried Konecny:our best friend in photogrammetry and remote sensing of China

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Geo-Spatial Information Science 2021年第1期24卷 5-7,I0002页

作者： Deren Li Yixuan zhu Lite shi State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina

Preface Lebenslauf ***.-*** Gottfried Konecny is one of the most respected names in *** is an Honorary Member of International Society for Photogrammetry and Remote Sensing(ISPRS),Honorary Professor of Wuhan Technical... 详细信息

关键词： gramme ISPRS Remote

An Improved Support Vector Clustering Approach to Dynamic Aggregation of Large Wind Farms

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CSEE Journal of Power and Energy Systems 2019年第2期5卷 215-223页

作者： Weijun teng Xifan Wang Yongqing Meng Wenhui shi Department of Electrical Engineering Xi’an Jiaotong UniversityXi’anChina China Electric Power Research Institute Beijing 100192China

In this paper,we propose an improved support vector clustering(SVC)algorithm to cluster wind turbines(WTs)in a wind farm(WF).A boundary points(BPs)detecting method based on the grid theory and the connected subdomain(CS)are *** the efficiency of SVC is enhanced while maintaining the accuracy of the *** for the multi-wind condition equivalent of WF,a method to determine the number and capacity of each of the aggregated wind turbines(AWTs)based on historical wind data is *** wind speed(WS)and wind direction(WD)of the WF are needed to calculate the WSs of each *** demonstrate that the algorithm proposed in this paper can cluster WTs quickly and *** the dynamic aggregated models of the WFs are suitable for both the single-wind condition and multi-wind condition simulations,with high accuracy being obtained.

关键词： Connected subdomain dynamicaggregated model griddetection improvedSVC powersystem windfarm

Transcriptome characterization and SSR discovery in Squaliobarbus curriculus

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Journal of Oceanology and Limnology 2019年第1期37卷 235-244页

作者： LI Caijuan teng teng SHEN Fanfan GUO Jinqiang CHEN Yining zhu Chuankun LING Qufei School of Biology and Basic Medical Sciences Soochow University School of Life Science Huaiyin Normal University

Squaliobarbus curriculus is a eurythermic ?sh found mainly in East Asia. The natural germplasm resources of this species, an organism of potential economic aquacultural importance, have recently been threatened by over?shing and habitat degradation. The objective of this study was to obtain functional genomic resources and candidate microsatellite markers for future genetic observation and germplasm protection of S. curriculus. Illumina paired-end sequencing generated over 22.20 million clean reads, which were assembled into 204 027 transcripts with an average length of 1 457 bp. A total of 112 570 protein-coding sequences(55.17%) were predicted, 111 934 of which had signi?cant matches in the NCBI nonredundant protein database. Overall, 60 450, 34 830, and 77 755 transcripts were assigned to Gene Ontology, Clusters of Orthologous Groups, and Eukaryotic Orthologous Groups categories, *** addition, 44 781 transcripts(21.95%) were mapped to 230 KEGG pathways. A total of 51 426 candidate simple sequence repeat(SSR) markers were identi?ed and used to design 36 149 PCR primer pairs. Fifty of these primer pairs were randomly selected for PCR validation in 32 S. curriculus specimens, which resulted in 25 pairs yielding the expected products. Further analysis revealed that 40%(10) of the 25 ampli?ed loci were polymorphic. The transcriptomic pro?le and SSR repertoire obtained in this study should facilitate population genetic studies and germplasm resource protection of S. curriculus.

关键词： Squaliobarbus curriculus transcriptome sequencing SSR markers

Enrichment of copper and recycling of cyanide from copper–cyanide waste by solvent extraction

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International Journal of Minerals,Metallurgy and Materials 2016年第11期23卷 1258-1263页

作者： teng-yue Gao Kui-ren Liu Qing Han Bin-shi Xu Key Laboratory of Ecological Utilization of Multi-metal Intergrown Ores of the Ministry of Education School of MetallurgyNortheastern University National Key laboratory for Remanufacturing Academy of Armored Forces Engineering

The enrichment of copper from copper–cyanide wastewater by solvent extraction was investigated using a quaternary ammonium salt as an extractant. The influences of important parameters, e.g., organic-phase components, aqueous pH values, temperature, inorganic anion impurities, CN/Cu molar ratio, and stripping reagents, were examined systematically, and the optimal conditions were determined. The results indicated that copper was effectively concentrated from low-concentration solutions using Aliquat 336 and that the extraction efficiency increased linearly with increasing temperature. The aqueous pH value and concentrations of inorganic anion impurities only weakly affected the extraction process when varied in appropriate ranges. The CN/Cu molar ratio affected the extraction efficiency by changing the distribution of copper–cyanide complexes. The difference in gold leaching efficiency between using raffinate and fresh water was negligible.

关键词： copper cyanide wastewater treatment solvent extraction copper recovery