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arXiv 2024年

作者： Chen, Hegan Yang, Jichang Chen, Jia Wang, Songqi Wang, Shaocong Wang, Dingchen Tian, Xinyu Yu, Yifei Chen, Xi Lin, Yinan He, Yangu Wu, Xiaoshan Li, Yi Zhang, Xinyuan Lin, Ning Xu, Meng Li, Yi Zhang, Xumeng Wang, Zhongrui Wang, Han Shang, Dashan Liu, Qi Cheng, Kwang-Ting Liu, Ming Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong ACCESS – AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong Institute of the Mind The University of Hong Kong Hong Kong Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China University of Chinese Academy of Sciences Beijing100049 China School of Integrated Circuits Hubei Key Laboratory for Advanced Memories Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai200433 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

Digital twins, the cornerstone of Industry 4.0, replicate real-world entities through computer models, revolutionising fields such as manufacturing management and industrial automation. Recent advances in machine learning provide data-driven methods for developing digital twins using discrete-time data and finite-depth models on digital computers. However, this approach fails to capture the underlying continuous dynamics and struggles with modelling complex system behaviour. Additionally, the architecture of digital computers, with separate storage and processing units, necessitates frequent data transfers and Analogue-Digital (A/D) conversion, thereby significantly increasing both time and energy costs. Here, we introduce a memristive neural ordinary differential equation (ODE) solver for digital twins, which is capable of capturing continuous-time dynamics and facilitates the modelling of complex systems using an infinite-depth model. By integrating storage and computation within analogue memristor arrays, we circumvent the von Neumann bottleneck, thus enhancing both speed and energy efficiency. We experimentally validate our approach by developing a digital twin of the HP memristor, which accurately extrapolates its nonlinear dynamics, achieving a 4.2-fold projected speedup and a 41.4-fold projected decrease in energy consumption compared to state-of-the-art digital hardware, while maintaining an acceptable error margin. Additionally, we demonstrate scalability through experimentally grounded simulations of Lorenz96 dynamics, exhibiting projected performance improvements of 12.6-fold in speed and 189.7-fold in energy efficiency relative to traditional digital approaches. By harnessing the capabilities of fully analogue computing, our breakthrough accelerates the development of digital twins, offering an efficient and rapid solution to meet the demands of Industry 4.0. © 2024, CC BY-NC-SA.

关键词： Energy utilization

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Applications of MXenes in human-like sensors and actuators

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Nano Research 2023年第4期16卷 5767-5795页

作者： Jinbo Pang Songang Peng Chongyang Hou Xiao Wang Ting Wang Yu Cao Weijia Zhou Ding Sun Kai Wang Mark H.Rümmeli Gianaurelio Cuniberti Hong Liu Institute for Advanced Interdisciplinary Research(iAIR) Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of ShandongUniversity of JinanJinan 250022China Institute for Materials Science and Max Bergmann Center of Biomaterials Technische Universität DresdenDresden 01069Germany Center for Advancing Electronics Dresden Technische Universität DresdenDresden 01069Germany Dresden Center for Computational Materials Science Technische Universität DresdenDresden 01062Germany Dresden Center for Intelligent Materials(GCL DCIM) Technische Universität DresdenDresden 01062Germany High-Frequency High-Voltage Device and Integrated Circuits R&D Center Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Microelectronic Devices&Integrated Technology Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China Shenzhen Key Laboratory of Nanobiomechanics Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China State Key Laboratory of Biobased Material and Green Papermaking Qilu University of TechnologyShandong Academy of SciencesJinan 250353China School of Bioengineering Qilu University of TechnologyShandong Academy of ScienceJinan 250353China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Ministry of Education) Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Northeast Electric Power UniversityJilin 132012China School of Electrical Engineering Weihai Innovation Research InstituteQingdao UniversityQingdao 266000China School of Electrical and Computer Engineering Jilin Jianzhu UniversityChangchun 130118China Institute for Complex Materials Leibniz Institute for Solid State and Materials Research Dresden(IFW Dresden)20 Helmholtz StrasseDresden 01069Germany College of Energy Soochow Institute for Energy and Materials Innovations Soochow UniversitySuzhou 215006China Key L

Human beings perceive the world through the senses of sight,hearing,smell,taste,touch,space,and *** first five senses are prerequisites for people to *** sensing organs upload information to the nervous systems,including the brain,for interpreting the surrounding ***,the brain sends commands to muscles reflexively to react to stimuli,including light,gas,chemicals,sound,and ***,as an emerging two-dimensional material,has been intensively adopted in the applications of various sensors and *** this review,we update the sensors to mimic five primary senses and actuators for stimulating muscles,which employ MXene-based film,membrane,and composite with other functional ***,a brief introduction is delivered for the structure,properties,and synthesis methods of ***,we feed the readers the recent reports on the MXene-derived image sensors as artificial retinas,gas sensors,chemical biosensors,acoustic devices,and tactile sensors for electronic ***,the actuators of MXene-based composite are ***,future opportunities are given to MXene research based on the requirements of artificial intelligence and humanoid robot,which may induce prospects in accompanying healthcare and biomedical engineering applications.

关键词： MXenes sensors actuators gas sensors biosensors tactile sensors sound sensors artificial retina

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High-density, nonvolatile SRAM using monolithic 3D integration of InGaZnO thin-film transistors and Hf 0.5 Zr 0.5 O 2 -based ferroelectric capacitors

Device

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Device 2025年

作者： Qihan Liu Yu Li Liwei Liu Hao Jiang Haozhe Zhu Zexing Chen Yang Yang Mengwei Si Can Li Peng Lin Yingfen Wei Qi Liu State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai China Institute of Microelectronics of the Chinese Academy of Sciences Beijing China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong China College of Computer Science and Technology Zhejiang University Hangzhou China

Monolithic three-dimensional (M3D) integration of back-end-of-line (BEOL)-compatible and high-performance transistors and memory devices offer a promising strategy to overcome the limitations of conventional silicon-based computing techniques. Specifically, static random-access memory (SRAM), while valued for speed and endurance, faces the challenges of a large footprint and static power consumption. Here, we present a four-transistor-two-capacitor (4T2C) nonvolatile SRAM (nvSRAM) utilizing vertically stacked indium gallium zinc oxide (IGZO) thin-film transistors (TFTs) and Hf 0.5 Zr 0.5 O 2 (HZO)-based ferroelectric capacitors (FeCaps) under a BEOL-compatible thermal budget. The HZO FeCaps and IGZO TFTs are optimized toward their M3D integration with high performance and inter-tier uniformity. Our 3-tier M3D-integrated 4T2C nvSRAM achieves a 2-transistor (2T) footprint and data retention at 85°C for 10 5 s after power off. Moreover, design space and optimization strategies of the 4T2C nvSRAM are explored for higher operation speed, lower energy consumption, and more robust data stability.

关键词： monolithic 3D integration back-end-of-line nonvolatile SRAM ferroelectric capacitor IGZO transistor emerging memory DTI-2: Explore

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Fabrication of Sputtered Low-strain, Low-loss SiN Waveguide for Optical Phased Array Device

Fabrication of Sputtered Low-strain, Low-loss SiN Waveguide ...

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OptoElectronics and Communications Conference, OECC

作者： Masaki Nishimura Hayato Takemura Toshimasa Umezawa Wittawat Yamwong Tetsuya Kawanishi Naokatsu Yamamoto Nipapan Klunngien School of Fundamental Science and Engineering Waseda University Tokyo Japan Network System Research Institute National Institute of Information and Communication Technology Tokyo Japan Thai Microelectronics Center National Electronics and Computer Technology Center Thailand

We fabricated sputtered SiN-waveguides with film stress-free, low-loss waveguide at room temperature for optical phased array devices. The beam steering performance was also estimated using the sputtered thick SiN wav... 详细信息

ISBN: (数字)9781728154459

ISBN: (纸本)9781728154909

关键词： Optical waveguides Silicon compounds Phased arrays Optical device fabrication Optical arrays Optical films Surface waves

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ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA

arXiv

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arXiv 2025年

作者： Shi, Zhengyuan Li, Zeju Ma, Chengyu Zhou, Yunhao Zheng, Ziyang Liu, Jiawei Pan, Hongyang Zhou, Lingfeng Li, Kezhi Zhu, Jiaying Yan, Lingwei He, Zhiqiang Xue, Chenhao Jiang, Wentao Yang, Fan Sun, Guangyu Yang, Xiaoyan Chen, Gang Shi, Chuan Chu, Zhufei Yang, Jun Xu, Qiang Department of Computer Science and Engineering The Chinese University of Hong Kong Sha Tin Hong Kong Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China School of Computer Science Beijing University of Posts and Telecommunications Beijing China School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University Shanghai China School of Electronic and Information Engineering Hangzhou Dianzi University Hangzhou China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China School of Integrated Circuits Peking University Beijing China School of Intergrated Circuits Southeast University Nanjing China National Center of Technology Innovation for EDA Nanjing China

We introduce ForgeEDA, an open-source comprehensive circuit dataset across various categories. ForgeEDA includes diverse circuit representations such as Register Transfer Level (RTL) code, Post-mapping (PM) netlists, And-Inverter Graphs (AIGs), and placed netlists, enabling comprehensive analysis and development. We demonstrate ForgeEDA’s utility by benchmarking state-of-the-art EDA algorithms on critical tasks such as Power, Performance, and Area (PPA) optimization, highlighting its ability to expose performance gaps and drive advancements. Additionally, ForgeEDA’s scale and diversity facilitate the training of AI models for EDA tasks, demonstrating its potential to improve model performance and generalization. By addressing limitations in existing datasets, ForgeEDA aims to catalyze breakthroughs in modern IC design and support the next generation of innovations in EDA. © 2025, CC BY.

关键词： Open source software

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IoT Multi-control Bionic Manipulator's Design 3

IoT Multi-control Bionic Manipulator's Design

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3rd International Conference on Circuits, system and Simulation, ICCSS 2019

作者： Lili, Tang Qijun, Huang Wei, Huang Zhixing College of Hubei University Department of Computer and Information Engineering Wuhan China College of Wuhan University Department of Microelectronics Physics and Technology Wuhan China Fourth Laboratory System Design Institute of Hubei Aerospace Technology Academy Wuhan Wuhan China

ISBN: (纸本)9781728136578

This design uses STM32 microcontroller as the core controller of the mechanical arm, transplants Linux operating system to the S3C2440 development board and establishes the LAN server, realizes multiple functions and a variety of control mode: Android mobile app, personal PC in the local area network and gesture-sensing gloves can be used to control mechanical arm, it can also make the operation automatically. At the same time, because the server built, Linux system and QT interface transplanted are on S3C2440, so that the development board and all computers in the local area network can monitor the mechanical arm. This design is widely used in the field of intelligent industry, environmental exploration, intelligent home and so on. © 2019 IEEE.

关键词： Internet of things

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Orthogonal Boubaker-Turki polynomials algorithm for problems arising in engineering

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AIP Conference Proceedings 2022年第1期2386卷

作者： Osama Alabdali Suha Shihab Mohammed Rasheed Taha Rashid 1College of Education for Pure Sciences University Of Anbar Al-Anbar Iraq 2Applied Science Department University of Technology Baghdad Iraq 3Computer and Microelectronics System Faculity of Engineering University Technology Malaysia (UTM) Skudai 81310 Johor Bahru Malaysia

The approximate solutions of optimal control problems are investigated in this article with Duffing oscillator model. Duffing oscillator models have lots of interesting engineering application. The orthogonal Boubaker-Turki polynomials first are presented with some new interesting properties. Then, an algorithm based on iterative technique is considered with orthogonal Boubaker-Turki polynomials as a basis functions. By utilizing OBTPs, the proposed technique produces a simple procedure to get an optimal approximate solution that can use to problems that are more complex. Convergence of the algorithm is discussed and numerical examples are solved. The results obtained illustrate and emphasize the efficiency of the suggested algorithm when comparing the results with results obtained in previous works.

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Real-Time Redundant Scrubbing (RRS) system for Radiation Protection on SRAM-Based FPGA

Real-Time Redundant Scrubbing (RRS) System for Radiation Pro...

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International Conference on computers, Communications, and systems (ICCCS)

作者： Jianwei Zhang Tao Han Yajun Li Jinghu Li Liaoning Key Lab of Integrated Circuit and Biomedical Electronic System Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China School of Microelectronics Dalian University of Technology Dalian China College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou China

ISBN: (数字)9781728161365

ISBN: (纸本)9781728161372

SRAM-based Field Programmable Gate Array (FPGA) is vulnerable to the serious radiation effects represented by Single Event Upset (SEU) effect in space. Triple Modular Redundancy (TMR) and configuration scrubbing are effective methods of FPGA radiation protection, but each has its own shortcomings: TMR structure can't correct errors, and scrub circuit, also called “scrubber”, is sensitive to radiation. In response to the problem, this paper proposes a Real-time Redundant Scrubbing (RRS) system. Based on the traditional configuration scrubbing, TMR structure is applied to the scrubber. And the error indicator is added to the traditional TMR structure. When the scrubber has errors due to SEU, the scrubber will be scrubbed in real-time to prevent error accumulation. In addition, the floorplan of the three redundant logic is distributed to avoid the influence of a SEU on multiple redundant logic at the same time. In this paper, the anti-radiation capability of the proposed RRS system is evaluated by random fault injection. The test results show that the anti-radiation capability of the RRS system is more than 2 times higher than that of traditional configuration scrubbing system.

关键词： Materials handling Field programmable gate arrays Radiation hardening (electronics) Real-time systems Single event upsets Radiation effects Redundancy

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Echo state graph neural networks with analogue random resistor arrays

arXiv

引用

arXiv 2021年

作者： Wang, Shaocong Li, Yi Wang, Dingchen Zhang, Woyu Chen, Xi Dong, Danian Wang, Songqi Zhang, Xumeng Lin, Peng Gallicchio, Claudio Xu, Xiaoxin Liu, Qi Cheng, Kwang-Ting Wang, Zhongrui Shang, Dashan Liu, Ming Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China ACCESS - AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong University of Chinese Academy of Sciences Beijing100049 China Frontier Institute of Chip and System Fudan University Shanghai 200433 China College of Computer Science and Technology Zhejiang University Zhejiang310027 China Department of Computer Science University of Pisa Largo B. Pontecorvo 3 Pisa56127 Italy Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

Recent years have witnessed an unprecedented surge of interest, from social networks to drug discovery, in learning representations of graph-structured data. However, graph neural networks, the machine learning models for handling graph-structured data, face significant challenges when running on conventional digital hardware, including von Neumann bottleneck incurred by physically separated memory and processing units, slowdown of Moore's law due to transistor scaling limit, and expensive training cost. Here we present a novel hardware-software co-design, the random resistor array-based echo state graph neural network, which addresses these challenges. The random resistor arrays not only harness low-cost, nanoscale and stackable resistors for highly efficient in-memory computing using simple physical laws, but also leverage the intrinsic stochasticity of dielectric breakdown to implement random projections in hardware for an echo state network that effectively minimizes the training cost thanks to its fixed and random weights. The system demonstrates state-of-the-art performance on both graph classification using the MUTAG and COLLAB datasets and node classification using the CORA dataset, achieving 34.2×, 93.2×, and 570.4× improvement of energy efficiency and 98.27%, 99.46%, and 95.12% reduction of training cost compared to conventional graph learning on digital hardware, respectively, which may pave the way for the next generation AI system for graph learning. Copyright © 2021, The Authors. All rights reserved.

关键词： Graphic methods

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Non-Linear 3d Reconstruction For Compressive X-Ray Tomosynthesis

Non-Linear 3d Reconstruction For Compressive X-Ray Tomosynth...

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IEEE International Conference on Image Processing

作者： Qile Zhao Xu Ma Angela Cuadros Gonzalo R. Arce Rui Chen Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China School of Optics and Photonics Beijing Institute of Technology Beijing China Department of Electrical and Computer Engineering University of Delaware USA Integrated Circuit Advanced Process Center Institute of Microelectronics of Chinese Academy of Sciences Beijing China

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

Compressive X-ray tomosynthesis is an emerging technology that can be used for medical diagnosis, safety inspection and industrial non-destructive testing. Traditional compressive X-ray tomosynthesis uses sequential illumination to interrogate the object of interest, which generates non-overlapping projection measurements. However, when multiple X-ray sources emit simultaneously, the projections corresponding to different sources overlap creating multiplexed measurements. Such measurement strategy leads to a non-linear reconstruction problem. The reconstruction of the three-dimensional (3D) object from multiplexed projections is an important problem. This paper proposes a non-linear 3D reconstruction approach for compressive X-ray tomosynthesis, where a set of coding masks are used to generate structured illumination and reduce radiation dose. The effectiveness of the method is verified by simulation experiments. It is shown that the proposed approach can reconstruct high-quality images with just a few snapshots.

关键词： Image reconstruction X-ray imaging Detectors Biomedical imaging Three-dimensional displays Encoding

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