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A Review of Computing with Spiking Neural Networks

Computers, Materials & Continua 2024年第3期78卷 2909-2939页

作者： Jiadong Wu Yinan Wang Zhiwei li Lun Lu qingjiang li College of Electronic Science and Technology National University of Defense TechnologyChangsha410073China

Artificial neural networks(ANNs)have led to landmark changes in many fields,but they still differ significantly fromthemechanisms of real biological neural networks and face problems such as high computing costs,excessive computing power,and so *** neural networks(SNNs)provide a new approach combined with brain-like science to improve the computational energy efficiency,computational architecture,and biological credibility of current deep learning *** the early stage of development,its poor performance hindered the application of SNNs in real-world *** recent years,SNNs have made great progress in computational performance and practicability compared with the earlier research results,and are continuously producing significant *** there are already many pieces of literature on SNNs,there is still a lack of comprehensive review on SNNs from the perspective of improving performance and practicality as well as incorporating the latest research *** from this issue,this paper elaborates on SNNs along the complete usage process of SNNs including network construction,data processing,model training,development,and deployment,aiming to provide more comprehensive and practical guidance to promote the development of ***,the connotation and development status of SNNcomputing is reviewed systematically and comprehensively from four aspects:composition structure,data set,learning algorithm,software/hardware development *** the development characteristics of SNNs in intelligent computing are summarized,the current challenges of SNNs are discussed and the future development directions are also *** research shows that in the fields of machine learning and intelligent computing,SNNs have comparable network scale and performance to ANNs and the ability to challenge large datasets and a variety of *** advantages of SNNs over ANNs in terms of energy efficiency and spatial-temporal data processing

关键词： Spiking neural networks neural networks brain-like computing artificial intelligence learning algorithm

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Sigmatropic rearrangements of B(MIDA)-propargylic alcohols towards the diverse synthesis of α-functionalized organoborons

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Science China Chemistry 2024年第2期67卷 568-575页

作者： Jiasheng Qian li-Cai liu Zhi-Hao Chen Yuan liu Yin li qingjiang li Honggen Wang Guangdong Key Laboratory of Chiral Molecule and Drug Discovery School of Pharmaceutical SciencesSun Yat-Sen UniversityGuangzhou510006China

α-Functionalized organoborons are useful building blocks and key structural elements in functional *** previous synthesis relied on the famous Matteson reaction or the late-stage borylative modification of alkynes or ***,the synthetic transformation of borylated building blocks offers another useful strategy and is currently actively *** report herein that B(MIDA)-propargylic alcohols(BPAs) are a useful type of borylated building *** two complementary functional group handles(alkyne and hydroxyl) in close proximity,the redox-neutral [3,3] and [2,3] sigmatropic rearrangements of BPAs allow the efficient synthesis of several types of α-functionalized boronates,including α,β-unsaturated acylborons,α-S/P-substituted allenylborons,boryl-substituted thiazoles and a borylated α,β-unsaturated hydrazine,some of which are otherwise challenging targets using other synthetic methods.

关键词： organoboron diverse synthesis sigmatropic rearrangement heteroarene amide

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基于相变材料的非易失光子多值器件研究

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光子学报 2024年第1期53卷 222-229页

作者：宋兵王金融张亨宇孙振源李清江国防科技大学电子科学学院长沙410073

结合相变材料与马赫-曾德尔干涉仪调制器结构,设计了一种包含ITO微加热器的非易失性光子多值器件,通过对相变材料的结构参数进行仿真,优化了器件的调制窗口。同时对ITO微加热器的结构进行仿真设计,使微加热器的效率更高,更容易实现器件... 详细信息

结合相变材料与马赫-曾德尔干涉仪调制器结构,设计了一种包含ITO微加热器的非易失性光子多值器件,通过对相变材料的结构参数进行仿真,优化了器件的调制窗口。同时对ITO微加热器的结构进行仿真设计,使微加热器的效率更高,更容易实现器件的多值调制。测试表明,该器件在施加电脉冲的过程中实现了超过32个状态(5 bit)的多值调制。这种电调制的非易失性光子多值器件为大规模的非易失性可配置光子硬件神经网络提供了基础的单元。

关键词：非易失性光子器件马赫-曾德尔干涉仪相变材料硒化锑氧化铟锡多值

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A bidirectional threshold switching selector with a symmetric multilayer structure

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Science China(Information Sciences) 2021年第4期64卷 208-213页

作者： qingjiang li Kun li Yongzhou WANG Sen liU Bing SONG College of Electronic Science and Technology National University of Defense Technology

Selectors have been proposed as a highly effective tool for suppressing substantial leakage currents without sacrificing the high density of resistive random-access memory（RRAM） crossbar arrays. Among various selector types, the programmable metallization cell（PMC） selector is promising due to its simple structure and high selectivity. In this work, we demonstrate a new PMC selector that exhibits bidirectional threshold switching behavior by implementing symmetric multilayer dielectrics. The proposed Ag/SiTe/HfO2/SiTe/Ag selector device has a low off current( 10～5）, and low threshold voltage variation（< 0.05）. Upon connection to a bipolar RRAM cell via a wire, the proposed selector successfully suppresses the leakage current of an unselected device below the threshold voltage.

关键词： threshold switching selector resistive random access memory leakage current programmable metallization cell

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An Enhanced LMI Approach for Mixed H2/H∞ Flight Tracking Control

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Chinese Journal of Aeronautics 2011年第3期24卷 324-328页

作者： ZHANG qingjiang YE Sijun li Yan WANG Xinmin School of Automation Northwestern Polytechnical University Xi 'an 710072 China

The coupling between the Lyapunov variables and system matrices makes the problem of mixed H2/H∞ flight tracking controller design non-convex. With the aid of enhanced linear matrix inequality （LMI） approach, the non-convex optimization problem is transformed into convex LMI representations. The proposed coupling is eliminated by introducing slack variables. Moreover, a necessary and sufficient condition is derived for the mixed H2/H∞ flight tracking controller which not only stabilizes the controlled system but also satisfies the mixed H2/H∞ performance index in normal case and fault cases. The new enhanced LMI representations provide additional degrees of freedom to solve the non-convex optimization problem, and reduce the conservativeness of the controller design. Simulation results of the aero-data model in a research environment （ADMIRE） model show the advantages of the enhanced LMI approach.

关键词： mixed H2/H∞ control flight control tracking reliable control linear matrix inequality

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Recent advances of allenes in the first-row transition metals catalyzed C-H activation reactions

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Chinese Chemical Letters 2019年第8期30卷 1495-1502页

作者： Xiang-Lei Han Peng-Peng lin qingjiang li School of Pharmaceutical Sciences Sun Yat-sen UniversityGuangzhou 510006China State Key Laboratory of Natural and Biomimetic Drugs Peking UniversityBeijing 100191China

Transition-metal-catalyzed C–H activation reaction has proven to be a powerful and efficient tool for the formation of diverse C-C and C–X bond and construction of functional complex *** the viewpoint of sustainable chemistry,the first-row transition metals,such as Mn,Fe,Co,Ni and Cu,have been recognized as cheap,environmentally friendly and reactively effective catalysts for a number of C-H functionalization ***,compared with the commonly used alkenes and alkynes in the first-row transition-metal-catalyzed C–H activations,considerable achievements have just been made by the use of structurally unique and reactively rich allenes as coupling partners in recent *** review summarizes the recent progress of the first-row transition-metal-catalyzed C–H activations with allenes.

关键词： Allene C-H functionalization First-row transition metal Annulation Regioselectivity

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FPGA Optimized Accelerator of DCNN with Fast Data Readout and Multiplier Sharing Strategy

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Computers, Materials & Continua 2023年第12期77卷 3237-3263页

作者： Tuo Ma Zhiwei li qingjiang li Haijun liu Zhongjin Zhao Yinan Wang College of Electronic Science and Technology National University of Defense TechnologyChangsha410073China

With the continuous development of deep learning,Deep Convolutional Neural Network(DCNN)has attracted wide attention in the industry due to its high accuracy in image *** with other DCNN hard-ware deployment platforms,Field Programmable Gate Array(FPGA)has the advantages of being programmable,low power consumption,parallelism,and low ***,the enormous amount of calculation of DCNN and the limited logic capacity of FPGA restrict the energy efficiency of the DCNN *** traditional sequential sliding window method can improve the throughput of the DCNN accelerator by data multiplexing,but this method’s data multiplexing rate is low because it repeatedly reads the data between *** paper proposes a fast data readout strategy via the circular sliding window data reading method,it can improve the multiplexing rate of data between rows by optimizing the memory access order of input *** addition,the multiplication bit width of the DCNN accelerator is much smaller than that of the Digital Signal Processing(DSP)on the FPGA,which means that there will be a waste of resources if a multiplication uses a single DSP.A multiplier sharing strategy is proposed,the multiplier of the accelerator is customized so that a single DSP block can complete multiple groups of 4,6,and 8-bit signed multiplication in ***,based on two strategies of appeal,an FPGA optimized accelerator is *** accelerator is customized by Verilog language and deployed on Xilinx *** the accelerator recognizes the CIRFAR-10 dataset,its energy efficiency is 39.98 GOPS/W,which provides 1.73×speedup energy efficiency over previous DCNN FPGA *** the accelerator recognizes the IMAGENET dataset,its energy efficiency is 41.12 GOPS/W,which shows 1.28×−3.14×energy efficiency compared with others.

关键词： FPGA accelerator DCNN fast data readout strategy multiplier sharing strategy network quantization energy efficient

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Highly improved resistive switching performances of the self-doped Pt/HfO_2:Cu/Cu devices by atomic layer deposition

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Science China(Physics,Mechanics & Astronomy) 2016年第12期59卷 72-77页

作者： Sen liu Wei Wang qingjiang li XiaoLong Zhao Nan li Hui Xu Qi liu Ming liu College of Electronic Science and Engineering National University of Defense Technology Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Department of Physics Hubei Nuclear Solid Physics Key Laboratory and Center for Ion Beam Application Wuhan University

Metal-oxide electrochemical metallization (ECM) memory is a promising candidate for the next generation nonvolatile *** this memory suffers from large dispersion of resistive switching parameters due to the intrinsic randomness of the conductive filament. In this work, we have proposed a self-doping approach to improve the resistive switching characteristics. The fabricated Pt/HfO_2:Cu/Cu device shows outstanding nonvolatile memory properties, including high uniformity, good endurance, long retention and fast switching speed. The results demonstrate that the self-doping approach is an effective method to improve the metal-oxide ECM memory performances and the self-doped Pt/HfO_2:Cu/Cu device has high potentiality for the nonvolatile memory applications in the future.

关键词： resistive switching nonvolatile memory ECM Cu dopant

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A boryl-migratory semipinacol rearrangement

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Science China Chemistry 2022年第4期65卷 746-752页

作者： Dong-Hang Tan Zhi-Hao Chen ling Yang Chang-Ting li Fang-Hai Tu qingjiang li Honggen Wang Guangdong Key Laboratory of Chiral Molecule and Drug Discovery School of Pharmaceutical SciencesSun Yat-sen UniversityGuangzhou 510006China State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources School of Chemistry and Pharmaceutical Sciences of Guangxi Normal UniversityGuilin 541004China

The semipinacol rearrangement is one of the classic yet useful synthetic tools in organic ***,semipinacol rearrangements involving heteroatom-migration are *** herein is a boryl-migratory semipinacol rearrangement of α-hydroxyallylboronates and α-hydroxypropargylboronates triggered by diverse halogen-,oxygen-,sulfur-and seleniumcontaining *** protocol leads to a mild and facile access to organoborons bearing valuable *** σ(C-B)hyperconjugation is believed to be the key factor that leads to the observed exclusive chemoselectivity and enhanced *** utilities of the formed products were demonstrated.

关键词： 1,2-boryl migration hyperconjugation iterative cross-coupling organoborons semipinacol rearrangement sp3-B tetrasubstituted alkene

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Synthesis of difluoromethylated benzylborons via rhodium(Ⅰ)-catalyzed fluorine-retainable hydroboration of gem-difluoroalkenes

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Chinese Chemical Letters 2021年第1期32卷 417-420页

作者： Yuanhong Cai Donghang Tan Qiqi Zhang Wenxin Lv qingjiang li Honggen Wang Guangdong Provincial Key Laboratory of Chiral Molecule and Drug Discovery School of Pharmaceutical SciencesSun Yat-sen University.Guangzhou 510006China State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources School of Chemistry and Pharmaceutical Sciences of Guangxi Normal UniversityGuilin 541004China

The synthesis of bo rylated orga nofluorines is of great interest due to their potential values as synthons in modular construction of fluorine-containing *** herein is a rhodium-catalyzed hydrobo ration of arylgem-difluoroalkenes leading to a series of α-difluoromethylated *** use of cationic rhodium catalyst and a biphosphine ligand with large bite angle was crucial for reactivity by offering good regioselectivity and diminishing the undesired β-F *** derivatizations of the products were conducted to showcase the utility of this protocol.

关键词： Rhodium Hydroboration Difluoromethy gem-Difluoroalkene β-F elimination

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