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Erratum to: CMN: a co-designed neural architecture search for efficient computing-in-memory-based mixture-of-experts

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Science China Information Sciences 2024年第11期67卷 1-1页

作者： Han, Shihao Liu, Sishuo Du, Shucheng Li, Mingzi Ye, Zijian Xu, Xiaoxin Li, Yi Wang, Zhongrui Shang, Dashan Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong China ACCESS-AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong China Key Lab of Fabrication Technologies for Integrated Circuits Chinese Academy of Sciences Beijing China Laboratory of Microelectronics Devices and Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Microelectronics Southern University of Science and Technology Shenzhen China

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Fully Integrated Point-of-Care Complete Blood Count Using Multi-Frame Morphology Analysis

SSRN

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SSRN 2022年

作者： Zhang, Wenchang Li, Ya Chen, Bing Zhang, Yuan Du, Ziqiang Xiang, Feibin Hu, Yu Meng, Xiaochen Shang, Chunliang Liang, Shengfa Yang, Xiaonan Guan, Weihua Key Lab of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China Department of Gastroenterology The First Affiliated Hospital of Zhengzhou University Zhengzhou450052 China Key Clinical Laboratory of Henan Province Department of Clinical Laboratory The First Affiliated Hospital of Zhengzhou University Zhengzhou450052 China School of Information Engineering Zhengzhou University Zhengzhou450001 China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science & Technology University Beijing100192 China Department of Obstetrics and Gynecology Peking University Third Hospital Beijing100191 China Department of Electrical Engineering Pennsylvania State University University Park16802 United States Department of Biomedical Engineering Pennsylvania State University University Park16802 United States

Point-of-care testing (POCT) of complete blood count (CBC) is an emerging approach that allows laypersons to identify and count whole blood cells through simple manipulation. To date, POCTs for CBC were mainly achieved by "stationary" images through blood smears or single-laity arranged cells in the microwell, making it difficult to obtain statistically sufficient numbers of cells. In this work, we present a fully integrated POCT device solely using "in-flow" imaging of 3 μL fingertip whole blood for improved identification and counting accuracy of CBC analysis. A miniaturized magnetic stirring module was integrated to maintain the temporal stability of cell concentration. A relatively high throughput (~ 8,000 cells/min) with a 30-fold dilution ratio of whole blood can be tested for as long as 1 hour to examine sufficient numbers of cells, and the subclass cell concentration keeps constant. To improve the identification accuracy, multi-frame "in-flow" imaging was used to track the cell motion trails with multi-angle morphology analysis. This proof-of-concept was then validated with healthy whole blood samples and 75 cases of clinical patients with abnormal concentrations of red blood cells (RBCs), white blood cells (WBCs), and platelets (PLT). The average precision (AP) value of WBCs identification was improved from 0.8622 to 0.9934. And the high fitting degrees (> 0.98) between our POCT device and the commercial clinical equipment indicated good agreement. This POCT device is user-friendly and cost-effective, making it a potential tool for diagnosing abnormal blood cell morphology or concentration in the field setting. © 2022, The Authors. All rights reserved.

关键词： Cells

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An Energy-Efficient Mixed-Signal Parallel Multiply-Accumulate (MAC) Engine Based on Stochastic Computing

An Energy-Efficient Mixed-Signal Parallel Multiply-Accumulat...

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International Conference on ASIC

作者： Xinyue Zhang Jiahao Song Yuan Wang Yawen Zhang Zuodong Zhang Runsheng Wang Ru Huang Institute of Microelectronics and Key Laboratory of Microelectronics Devices and Circuits (MoE) Peking University Beijing P.R. China

Convolutional neural networks (CNN) have achieved excellent performance on various tasks, but deploying CNN to edge is constrained by the high energy consumption of convolution operation. Stochastic computing (SC) is an attractive paradigm which performs arithmetic operations with simple logic gates and low hardware cost. This paper presents an energy-efficient mixed-signal multiply-accumulate (MAC) engine based on SC. A parallel architecture is adopted in this work to solve the latency problem of SC. The simulation results show that the overall energy consumption of our design is 5.03pJ per 26-input MAC operation under 28nm CMOS technology.

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An Energy-Efficient Computing-in-Memory Neuromorphic System with On-Chip Training

An Energy-Efficient Computing-in-Memory Neuromorphic System ...

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IEEE Biomedical circuits and Systems (BIOCAS)

作者： Zhao Zhao Yuan Wang Xinyue Zhang Xiaoxin Cui Ru Huang Institute of Microelectronics and Key Laboratory of Microelectronics Devices and Circuits (MoE) Peking University Beijing P.R. China

The aim of neuromorphic computing system is to implement the computational power and efficiency of the human brain. Computing-in-memory (CIM) is a promising and energy-efficient way to perform intensive computations, whose structure is similar to human brain synapse. A 8.78TOPS/W biologically-inspired neuromorphic computing system for pattern recognition based on CIM architecture is presented in this work. The proposed system supports on-chip training with energy-efficient bio-plausible spike-timing-dependent plasticity (STDP) rule and performs multiply-and-accumulate (MAC) computations inside SRAM array during inference, which greatly reduces the energy consumption. Simulated in 65-nm technology, the proposed system achieves good performance and energy efficiency for pattern recognition. The total energy consumption of training and classifying per image of the proposed system is 0.20 nJ. And the proposed spiking neural network (SNN) just consumes 0.074mW at 1.0V with the throughput of 2.5M images/s in inference phase.

关键词： Neurons Training Synapses Random access memory Testing Neuromorphics Static VAr compensators

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High-Mobility Polymer Monolayer Field-Effect Transistors with Graphene Electrodes

High-Mobility Polymer Monolayer Field-Effect Transistors wit...

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IEEE International Conference on Integrated circuits, Technologies and Applications (ICTA)

作者： Mengmeng Li Key Laboratory of Microelectronic Devices and Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728150406

ISBN: (纸本)9781728150413

Polymer monolayer field-effect transistors provide an excellent platform to investigate the charge transport mechanism, however, most studies only reported the mobility of ≤ 10 -2 cm -2 V -1 S -1 . This study select the graphene as electrode materials, significantly improving the morphology of polymer monolayer at the edge of the electrodes. As a result, a maximum saturated mobility of 0.73 cm -2 V -1 S -1 is obtained. Additionally, the channel length is found to have minor effect on the charge transport ranging from 20 to 100 μm.

关键词： Polymers Electrodes Graphene Gold Morphology OFETs

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High-Frequency Performance of MoS2 Transistors at Cryogenic Temperatures

High-Frequency Performance of MoS2 Transistors at Cryogenic ...

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International Conference on Solid-State and Integrated Circuit Technology

作者： Qingguo Gao Chongfu Zhang Zhenfeng Zhang Zichuan Yi Xinjian Pan Feng Chi Liming Liu Xuefei Li Yanqing Wu School of Electronic Information University of Electronic Science and Technology of China Zhongshan Institute Zhongshan China Wuhan National High Magnetic Field Center and School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan China Institute of Microelectronics and Key Laboratory of Microelectronic Devices and Circuits (MOE) and Frontiers Science Center for Nano-optoelectronics Peking University Beijing China

ISBN: (数字)9781728162355

ISBN: (纸本)9781728162362

Recently, due to its potential in high-speed flexible electronics, radio-frequency transistors based on two-dimensional MoS 2 has attracted the interest of researchers. However, for the moment, little is known on the RF performance of MoS 2 transistors at cryogenic temperatures, which is important for evaluating performance limits of high-frequency MoS 2 devices. In this work, we report the RF performance of MoS 2 transistors at cryogenic temperatures based on chemical vapor deposited bilayer MoS 2 for the first time. As the temperature reduces, the higher cut-off frequency was achieved. At the liquid helium temperature, extrinsic and intrinsic fT of 5.7 and 12.7 GHz for the transistor with 300 nm gate-length were achieved. Furthermore, saturation velocity and intrinsic fmax of 2.4×10 6 cm/s and 24 GHz were obtained at 4.3 K, respectively. The revealed high-frequency performances of MoS 2 transistors at cryogenic temperatures are helpful to the advancement of MoS 2 high-frequency electronics.

关键词： Transistors Radio frequency Cryogenics Logic gates MOSFET Cutoff frequency Transconductance

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Improved Discrete Wavelet Analysis and Principal Component Analysis for EEG Signal Processing

Improved Discrete Wavelet Analysis and Principal Component A...

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International Conference on ASIC

作者： YiHsiang Chen Xiaoxin Cui Kanglin Xiao Dunshan Yu Key Laboratory of Microelectronics Devices and Circuits (MoE) Institute of Microelectronics Peking University Beijing P. R. China

Electroencephalogram (EEG) has significant applications on medical diagnosis and Brain Computer Interface (BCI). But the main obstacle of analyzing EEG signal is various types of noises to get actual information. Extracting important features is a key issue in this study. This paper uses the BCI Competition IV 2b motion imagery data, in which we provide a review of various prior art to determine the motion imaginary MI mission. Using machine learning to identify two different movements in the EEG signal, the data from nine subjects were analyzed by principal component analysis (PCA) combined with discrete wavelet (DWT) packet analysis. The extracted DWT feature is input into the support vector machine (SVM) classifier, and the experimental results shows that this method is better than traditional methods with a classification accuracy rate of 86.7%.

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Variable-range percolation in disordered organic semiconductors

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Physical Review Applied 2025年第6期23卷 064001-064001页

作者： Zhouyan Jiang Feiling Yang Yubai Li Haorong Zhu Jiawei Wang Guofu Zhou Feilong Liu Guangdong Provincial Key Laboratory of Optical Information Materials and Technology and Institute of Electronic Paper Displays South China Academy of Advanced Optoelectronics South China Normal University Guangzhou 510006 Guangdong People’s Republic of China The International Joint Institute of Tianjin University Fuzhou Tianjin University 300072 Tianjin People’s Republic of China Key Laboratory of Microelectronic Devices and Integrated Technology Institute of Microelectronics of Chinese Academy of Sciences 100029 Beijing People’s Republic of China Shenzhen Guohua Optoelectronics Tech. Co. Ltd. Shenzhen 518110 Guangdong People’s Republic of China

Charge transport in disordered organic semiconductors is determined by charge carriers hopping through a series of molecules in an energetically disordered landscape, which can be viewed as a percolation problem in a three-dimensional network. Using combined three-dimensional kinetic Monte Carlo simulation and fat percolation theory, we systematically investigated the effect of variable-range hopping (VRH) on percolative charge transport in disordered organic semiconductors. Material dilution is a commonly used technique for bulk heterojunction optoelectronic devices, and has recently been proposed as a method for achieving a high-efficiency charge transport layer in light-emitting devices. In diluted materials, competition between energetic disorder–dominated percolation and spatial site disorder–dominated percolation needs to be clarified, which is theoretically identified and discussed in detail in this work. We find that for realistic molecular wave-function decay lengths, VRH plays a significant role in charge transport. At low temperatures or low active material fractions, VRH becomes even more important. Exponentially shaped deep trap states can further enhance VRH especially at low temperatures. With materials becoming more diluted, energetic disorder–dominated percolation gradually transforms into spatial site disorder–dominated percolation.

关键词： Monte Carlo methods

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Development and Prospect of Process Models and Simulation Methods for Atomic Layer Deposition

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Journal of microelectronic Manufacturing 2019年第2期2卷 26-38页

作者： Lei Qu Rui Chen Xiaoting Li Jing Zhang Yanrong Wang Shuhua Wei Jiang Yan Yayi Wei North China University of Technology Beijing 100144 China Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics of Chinese Academy of Sciences Beijing 100029 China

Thin film deposition is one of the most important processes in IC manufacturing. In this paper, several typical models and numerical simulation methods for thin film deposition and atomic layer deposition are introduced. Several modeling methods based on the characteristics of atomic layer deposition are introduced, it includes geometric method, cellular automata and multiscale simulation. The principle of each model and simulation method is explained, and their advantages and disadvantages are analyzed. Finally, the development direction of thin film deposition and atomic layer deposition modeling is prospected, and some modeling ideas are also provided.

关键词： thin film deposition atomic layer deposition growth model prediction model simulation method

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12-bit 2.6 GS/s RF DAC based on return-to-zero technology

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The Journal of China Universities of Posts and Telecommunications 2019年第4期26卷 36-42页

作者： Li Xiaopeng Wang Zhigong Zhang Yi Zhang Youtao Zhang Mi Institute of RF and OE ICs Southeast UniversityNanjing 210096China Nanjing Guobo Electronics Company Limited Nanjing 210016China Nanjing Electronic Devices Institute Nanjing 210016China National and Local Joint Engineering Laboratory of RF Integration and Micro-assembly Technology Nanjing 210046China College of Microelectronics Nanjing University of Posts and TelecommunicationsNanjing 210046China State Key Laboratory of Millimeter Waves Southeast UniversityNanjing 210096China Science and Technology on Monolithic Intergrated Circuits and Modules Laboratory Nanjing 210016China

A 12-bit 2.6 GS/s radio frequency digital to analog converter(RF DAC)based on 1 um GaAs heterojunction bipolar transistor(HBT)process is *** DAC integrates a 4:1 multiplexer to reduce the data rate of input ports,which greatly facilitates the *** core adopts 4+8 segmented current steering structure.R-2R ladder network is used for 8 least significant bit(LSB)to realize binary current weighting and thermometer coding is used for 4 most significant bit(MSB).Return-to-zero(RZ)technology is used to expand the effective bandwidth of DAC output to the third Nyquist *** proposed DAC has a better output power flatness and spurious-free dynamic range(SFDR).Compared to traditional DAC,measured results demonstrate that the output power of this RZ DAC is increased by 33 dB and the SFDR is enhanced by 27 dB near the second Nyquist band.

关键词： DAC RZ Nyquist band

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