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Polarization-encoded neural networks with simplified grating patch

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Science China Technological Sciences 2025年

作者： Chengyan zhong Xiang wang Lingfei LI Yuanchi CUI Lei XIAO Dawei SONG Junxiong guo Wen HUANG Yufeng guo Yu LIU College of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology College of Integrated Circuits Hangzhou Global Scientific and Technological Innovation Centre Zhejiang University Nanjing Mumusili Technology Co. LTD School of Integrated Circuits Tsinghua University Institute of Advanced Study School of Electronic Information and Electrical Engineering Chengdu University State Key Laboratory of Electronic Thin Films and Integrated Devices School of Integrated Circuit Science and EngineeringUniversity of Electronic Science and Technology of China

Optical neural networks (ONNs) offer a promising solution for high-performance, energy-efficient artificial intelligence hardware by leveraging the parallelism and speed of light. However, the large-scale implementation of ONNs remains challenging due to the bulky footprint and complex control of optical synapses. In this work, we propose and simulate a plasmonic polarized synaptic architecture that overcomes the diffraction limit and enables ultra-compact ONNs. By tuning the polarization state of incident light, the optical transmittance through each plasmonic unit can be dynamically adjusted to represent a synaptic weight. Our plasmonic structures, with features as small as 40 nm, operate well below this limit in the visible spectrum (400–750 nm). Compared with diffraction and interference-based circuit designs, our proposed method achieves a substantial reduction in synaptic density by factors of 150000-fold and 1500-fold, respectively. Furthermore, we successfully demonstrate a proof-of-concept plasmonic ONN applied to the Canadian Institute for Advanced Research—10classes (CIFAR-10) dataset using a Visual Geometry Group network with 16 layers (VGG16) model. After training for 80epochs, the network achieves an accuracy of 93%. The polarization-tunable plasmonics paves the way towards scalable ONNs for next-generation artificial intelligence (AI) accelerators and smart sensors.

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Palladium installed copper-organic framework for C–C coupling reactions

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Science China Chemistry 2025年

作者： Yu-Mei wang Mei-Xia Tao Kai-Ming Mo Xu Chen Shu-Hua zhong Elena S Shubina guo-Hong Ning Dan Li College of Chemistry and Materials Science Guangdong Provincial Key Laboratory of Supramolecular Coordination ChemistryJinan University A.N.Nesmeyanov Institute of Organoelement Compounds Russian Academy of Sciences

The formation of C–C bonds is a crucial aspect of organic synthesis. Synthesists' long-term objective is to identify novel catalysts to optimize reaction systems based on traditional transition metal catalysis. This study explores the synthesis and catalytic potential of palladium-installed covalent metal-organic frameworks(CMOFs) based on copper cyclic trinuclear units(Cu-CTUs). By incorporating palladium ions into the imine-based framework JNM-7 through a straightforward immersion method, we achieved a notable enhancement in catalytic activity for critical C–C coupling reactions, including C–H arylation and Sonogashira cross-coupling. The resulting JNM-7-Pd demonstrated remarkable stability and recyclability, maintaining its efficiency over at least three cycles without any decline in efficiency.

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Three-dimensional numerical simulation of wave interaction with perforated quasi-ellipse caisson

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Water Science and Engineering 2011年第1期4卷 46-60页

作者： Yong-xue wang Xiao-zhong ren Ping DONG guo-yu wang State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology Dalian 116024 P. R. China Department of Civil Engineering School of Engineering Physics and Mathematics University of Dundee Dundee DD1 4HN UK

The finite difference method and the volume of fluid （VOF） method were used to develop a three-dimensional numerical model to study wave interaction with a perforated caisson. The partial cell method was adopted to solve this type of problem for the first time. The validity of the present model, with and without the presence of caisson structures, was examined by comparing the model results with experimental data. Then, the numerical model was used to investigate the effects of various wave and structure parameters on the wave force and wave runup of the perforated quasi-ellipse caisson. Compared with the solid quasi-ellipse caisson, the wave force on the perforated quasi-ellipse caisson is significantly reduced with increasing porosity of the perforated quasi-ellipse caisson. Furthermore, the perforated quasi-ellipse caisson can also reduce the wave runup, and it tends to decrease with the increase of the porosity of the perforated quasi-ellipse caisson and the relative wave height.

关键词： VOF method, partial cell method, perforated quasi-ellipse caisson, wave pressure,wave force wave runup

KOH-assisted aqueous synthesis of ZIF-67 with high-yield and its derived cobalt selenide/carbon composites for high-performance Li-ion batteries

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Chinese Journal of Chemical Engineering 2023年第5期57卷 214-223页

作者： Kai xue Yanchun xue Jing wang Shuya Zhang Xingmei guo Xiangjun Zheng Fu cao Qinghong Kong Junhao Zhang zhong Jin School of Environmental and Chemical Engineering Jiangsu University of Science and TechnologyZhenjiang 212003China MOE Key Laboratory of Mesoscopic Chemistry MOE Key Laboratory of High Performance Polymer Materials and TechnologyJiangsu Key Laboratory of Advanced Organic MaterialsSuzhou Tierui New Energy Technology Co.LtdSchool of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210023China School of the Environment and Safety Engineering Jiangsu UniversityZhenjiang 212013China

To solve the environmental pollution and low yield during the sythesis of zeolitic imidazolate frameworks(ZIFs)and their derived materials,a KOH-assisted aqueous strategy is proposed to synthesize cobalt zeolitic imidazolate framework(ZIF-67)polyhedrons,which are used as precursors to prepare cobalt selenide/carbon composites with different crystal phases(Co_(0.85)Se,CoSe_2).When evaluated as anode material for lithium ion batteries,Co_(0.85)Se/C composites deliver a reversible capacity of 758.7 m A·h·g^(-1)with a capacity retention rate of 90.5%at 1.0 A·g^(-1)after 500 cycles,and the superior rate capability is 620 m A·h·g^(-1)at 2.0 A·g^(-1).The addition of KOH accelerates the production of ZIF-67 crystals by boosting deprotonation of dimethylimidazole,resulting in rapid growth and structures transition from two-dimensional to three-dimensional of ZIF-67 in aqueous solution,which greatly promotes the application of MOFs in the field of energy storage and conversion.

关键词： KOH-assisted strategy Synthesis Aqueous solution Nanostructure Lithium-ion batteries Long cycle performance

Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on LS-SVM in EMG motion classification

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2007年第8期8卷 1246-1255页

作者： YAN Zhi-guo wang Zhi-zhong ren Xiao-mei Departmen of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 China

This paper presents an effective and efficient combination of feature extraction and multi-class classifier for motion classification by analyzing the surface electromyografic(sEMG) signals. In contrast to the existing methods,considering the non-stationary and nonlinear characteristics of EMG signals,to get the more separable feature set,we introduce the empirical mode decomposition(EMD) to decompose the original EMG signals into several intrinsic mode functions(IMFs) and then compute the coefficients of autoregressive models of each IMF to form the feature set. Based on the least squares support vector machines(LS-SVMs) ,the multi-class classifier is designed and constructed to classify various motions. The results of contrastive experiments showed that the accuracy of motion recognition is improved with the described classification scheme. Furthermore,compared with other classifiers using different features,the excellent performance indicated the potential of the SVM techniques embedding the EMD-AR kernel in motion classification.

关键词： Electromyografic signal Empirical mode decomposition (EMD) Auto-regression model Wavelet packet transform Least squares support vector machines (LS-SVM) Neural network

XML-based Data Processing in Network Supported Collaborative Design

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International Journal of Automation and computing 2010年第3期7卷 330-335页

作者： Qi wang zhong-Wei ren zhong-Feng guo School of Mechanical Engineering Shenyang University of Technology Shenyang 110870 PRC

In the course of network supported collaborative design, the data processing plays a very vital role. Much effort has been spent in this area, and many kinds of approaches have been proposed. Based on the correlative materials, this paper presents extensible markup language （XML） based strategy for several important problems of data processing in network supported collaborative design, such as the representation of standard for the exchange of product model data （STEP） with XML in the product information expression and the management of XML documents using relational database. The paper gives a detailed exposition on how to clarify the mapping between XML structure and the relationship database structure and how XML-QL queries can be translated into structured query language （SQL） queries. Finally, the structure of data processing system based on XML is presented.

关键词： Extensible markup language (XML) network supported collaborative design standard for the exchange of product model data (STEP) data analysis data processing relational database

Comparison of neutron energy spectrum unfolding methods and evaluation of rationality criteria

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Nuclear Science and Techniques 2022年第12期33卷 159-172页

作者： Jun‑Kai Yang Ping‑Quan wang zhong‑guo ren ren‑Sheng wang Hui Zhang Jian Zhang National Institute of Metrology Beijing 100029China Institute of Applied Electronics China Academy of Engineering PhysicsMianyang 621900China School of Radiation Medicine and Protection Medical College of Soochow UniversitySuzhou 215123China Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions Suzhou 215123China

The neutron energy spectrum was measured using a Bonner sphere spectrometer at six locations inside the containment vessel of a nuclear reactor at the Qinshan nuclear power plant. The structures of the neutron spectra obtained by the maximum entropy, iteration, and genetic algorithm methods were consistent with one another and could be interpreted as the spectral superposition of different energy regions. The characteristic parameters of the neutron spectrum, including the fluence rate,average energy, and neutron ambient dose equivalent rate H^(*)(10), were in good agreement among the three methods. In addition, an LB6411 neutron ambient dose equivalent meter was employed to obtain the H^(*)(10) directly for *** findings indicate that neutron spectrum unfolding methods can be used to overcome the problems associated with the response functions of dosimeters to provide more accurate H^(*)(10) values. In this study, the following three evaluation criteria were systematically addressed to ensure the accuracy of the unfolded spectra: count rates of the inverse solutions,neutron spectrum structures, and comparison of key parameters.

关键词： Neutron spectrum ̇H∗(10) Nuclear power plant Evaluation criteria

Diagnostic accuracy of apparent diffusion coefficient to differentiate intrapancreatic accessory spleen from pancreatic neuroendocrine tumors

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World Journal of Gastrointestinal Oncology 2023年第6期15卷 1051-1061页

作者： Shuai ren Kai guo Yuan Li Ying-Ying cao zhong-Qiu wang Ying Tian Department of Radiology Jiangsu Province Hospital of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicineNanjing 210029Jiangsu ProvinceChina

BACKGROUND Intrapancreatic accessory spleen(IPAS)shares similar imaging findings with hypervascular pancreatic neuroendocrine tumors(PNETs),which may lead to unnecessary *** To investigate and compare the diagnostic performance of absolute apparent diffusion coefficient(ADC)and normalized ADC(lesion-to-spleen ADC ratios)in the differential diagnosis of IPAS from *** A retrospective study consisting of 29 patients(16 PNET patients vs 13 IPAS patients)who underwent preoperative contrast-enhanced magnetic resonance imaging together with diffusion-weighted imaging/ADC maps between January 2017 and July 2020 was *** independent reviewers measured ADC on all lesions and spleens,and normalized ADC was calculated for further *** receiver operating characteristics analysis was carried out for evaluating the diagnostic performance of both absolute ADC and normalized ADC values in the differential diagnosis between IPAS and PNETs by clarifying sensitivity,specificity,and ***-reader reliability for the two methods was *** IPAS had a significantly lower absolute ADC(0.931±0.773×10^(-3)mm^(2)/s vs 1.254±0.219×10^(-3)mm^(2)/s)and normalized ADC value(1.154±0.167 vs 1.591±0.364)compared to PNET.A cutoff value of 1.046×10^(-3)mm^(2)/s for absolute ADC was associated with 81.25%sensitivity,100%specificity,and 89.66%accuracy with an area under the curve of 0.94(95%confidence interval:0.8536-1.000)for the differential diagnosis of IPAS from ***,a cutoff value of 1.342 for normalized ADC was associated with 81.25%sensitivity,92.31%specificity,and 86.21%accuracy with an area under the curve of 0.91(95%confidence interval:0.8080-1.000)for the differential diagnosis of IPAS from *** methods showed excellent inter-reader reliability with intraclass correlation coefficients for absolute ADC and ADC ratio being 0.968 and 0.976,*** Both absolute ADC and normalized ADC values can facilitate the di

关键词： Pancreas Neuroendocrine tumors Accessory spleen Diffusion-weighted imaging Diagnostic performance

A volume of fluid simulation of the steady deformation and the drag of a single droplet in a flowing gas

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Journal of Hydrodynamics 2021年第2期33卷 334-346页

作者： Zhi-bin wang zhong-wei Yang Lie-jin guo ren-jie Zhao State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum UniversityChendu 610500China State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong UniversityXi'an 710049China

A method is proposed to investigate the steady deformation and the drag of a single droplet in a flowing gas at a high Reynolds *** volume of fluid(VOF)method is used to model the droplet surface *** direct numerical simulation(DNS)method is used to model the gas flow *** order to avoid the effect of the droplet acceleration on the drag and reduce the computation cost,a body force is added to the droplet to make it fixed at a constant *** body force is determined by using the Newton iteration *** simulated droplet aspect ratio and the drag coefficient agree well with the published experimental ***,the sources of the drag are analyzed and the effect of the Reynolds number and the Weber numbers on the droplet deformation and the drag are *** drag mainly comes from the pressure difference between the droplet-leading zone and the trailing zone,and the turbulence wake would increase the drag.

关键词： Droplet deformation steady drag volume of fluid(VOF) turbulent flow drag force