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Applications of MXenes in human-like sensors and actuators

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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Experimental Analysis and Mathematical Model for Quantitative Characterization of Fractures Induced by Hydraulic Fracturing

SSRN

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SSRN 2023年

作者： Jia, Li Peng, Shoujian Wu, Bin Xu, Jiang Yan, Fazhi Chen, Yuexia Jiao, Feng State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing University Chongqing400030 China State and Local Joint Engineering Laboratory of Methane Drainage in Complex Coal Gas Seam School of Resources and Safety Engineering Chongqing University Chongqing400030 China College of Safety and Emergency Management Engineering Taiyuan University of Technology Shanxi Taiyuan030024 China School of Emergency Technology and Management North China Institute of Science and Technology Beijing101601 China

Hydraulic fracturing (HF) is a widely used reservoir reconstruction technology in unconventional oil and gas development. Quantitative characterization of hydraulic fracturing fracture (HFF) is an important way to explore the mechanism of HFF extension and evaluate the stimulation effect of HF. In this study, based on the development of HF physical simulation experiment and the establishment of mathematical calculation model, the quantitative characterization of fractures induced by HF was systematically explored. The HFF communication area, reservoir reconstruction volume, fractal dimension and other overall fracture geometry parameters were established. The local geometric characterization parameters of HF such as fracture aperture and fracture occurrence were created. To solve the problem that the calculation of the diameter of the central axis ball was tedious and can not completely describe the crack opening, a method to estimate the crack opening using the shape diameter function (SDF) was established, and its systematic error was corrected. The mathematical calculation model of HFF seepage properties was established, which is applicable to any complex planar fracture network and provides a new numerical calculation tool for simulating the flow in the fracture. The characteristics of HFF under different compression and shear loads were compared. With the increase of shear stress level, the complexity of HFF topological structure shows a trend of first increasing and then decreasing. The spatial complexity of HFF increases monotonously with the increase of shear stress level. The flow rate is less affected by the expansion scope and spatial complexity of HFF, and was mainly controlled by the size of fracture initiation area. © 2023, The Authors. All rights reserved.

关键词： Fracture

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Exploration on the Characteristics of 3d Crack Network Expansion Induced by Hydraulic Fracturing: A Hybrid Approach Combining Experiments and Algorithms

SSRN

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SSRN 2023年

作者： Jia, Li Peng, Shoujian Wu, Bin Xu, Jiang Yan, Fazhi Chen, Yuexia State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing University Chongqing400030 China State and Local Joint Engineering Laboratory of Methane Drainage in Complex Coal Gas Seam School of Resources and Safety Engineering Chongqing University Chongqing400030 China College of Safety and Emergency Management Engineering Taiyuan University of Technology Shanxi Taiyuan030024 China School of Emergency Technology and Management North China Institute of Science and Technology Beijing101601 China

To realize the efficient development and utilization of unconventional energy, it is very necessary to explore the characteristics of 3D crack network expansion during sandstone hydraulic fracturing (HF). In this paper, through the physical simulation tests of sandstone HF under different shear stress levels, based on the CT image data acquisition, the 3D reconstruction of the HF specimen was realized, and the recognition algorithms of the 3D crack network were established. Based on the crack branch and bipartite graph representation, the graph theory representation method of crack network was improved, that is, the intersection of crack branch and crack branch and the extension of intersection line were used as the precursors of the elements in the two vertex sets U and V of bipartite graph , respectively, so that the topological structure representation method with crack branch as the basic element was extended to 3D crack network. Combined with topology and fractal theory, a quantitative characterization method of crack network was established, which comprehensively considers topological structure parameters and fractal dimension. With the increase of the shear stress level, the fractal dimension of the crack increases linearly, and the parameters of the crack topological structure increase first and then decrease. © 2023, The Authors. All rights reserved.

关键词： Hydraulic fracturing

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On the 3d Fluid Behavior During Cbm Coproduction in a Multi Pressure system: Insights from Experimental Analysis and Mathematical Models

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SSRN 2023年

作者： Dai, Shijie Xu, Jiang Jia, Li Chen, Jieren Yan, Fazhi Chen, Yuexia Peng, Shoujian State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing University Chongqing400030 China State and Local Joint Engineering Laboratory of Methane Drainage in Complex Coal Gas Seam School of Resources and Safety Engineering Chongqing University Chongqing400030 China College of Safety and Emergency Management Engineering Taiyuan University of Technology Shanxi Taiyuan030024 China School of Emergency Technology and Management North China Institute of Science and Technology Beijing101601 China

To investigate the dynamic response characteristics of coalbed methane (CBM) reservoirs with multi pressure system induced by coproduction, physical simulation experiments were conducted on CBM coproduction under both conventional and constant-rate coproduction modes using a self-built experimental platform. The results showed that constant-rate coproduction can significantly extend the stable coproduction period of CBM compared to conventional coproduction, but it may have an inhibitory effect on certain reservoirs, which is negatively correlated with the initial reservoir pressure. Constant-rate coproduction can cause disturbance effects on reservoir pressure, leading to an increase in the expansion resistance of the pressure-reduction funnel during coproduction, and even the appearance of the pressure-buildup funnel of low-pressure reservoirs. A calculation principle for the 3D fluid flow parameters was developed by considering the dynamic permeability and the pressure gradient of the reservoir. The 3D fluid flow parameters were employed to quantitatively characterize the spatial and temporal evolution of fluid relative flow velocity and deflection angle in the reservoir during coproduction. Near the far end of the wellbore, the fluid flowed nearly horizontally, while near the wellbore, the fluid flowed towards or away from the wellbore center due to different levels of disturbance. © 2023, The Authors. All rights reserved.

关键词： Coal bed methane

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Index modulated OFDM with ICI self-cancellation in underwater acoustic communications

Index modulated OFDM with ICI self-cancellation in underwate...

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Asilomar Conference on Signals, systems & Computers

作者： Miaowen Wen Yuke Li Xiang Cheng Liuqing Yang School of Electronic and Information Engineering South China University of Technology Guangzhou China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China Department of Electrical and Computer Engineering Colorado State University Fort Collins CO USA

ISBN: (纸本)9781479982981

OFDM is promising for underwater acoustic (UWA) communications due to its potential to combat the large delay spread. However, the performance of the OFDM system is seriously deteriorated by the inter-carrier interference (ICI) caused by the transmitter/receiver motion and ocean waves. In this paper, we propose a novel ICI countermeasure. The key idea is to inactivate partial subcarriers according to index modulation and meanwhile transmit signals with opposite polarity on two adjacent active subcarriers for ICI self cancellation. Simulation results validate that the proposed scheme achieves much better bit error rate (BER) performance than many existing schemes in UWA communications.

关键词： OFDM Modulation Bit error rate Indexes Receivers Transmitters Sonar equipment

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A class of uncertain chaotic systems using the fast terminal sliding mode control

A class of uncertain chaotic systems using the fast terminal...

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Chinese control Conference (CCC)

作者： Bai Yongqiang A Lata Li Xiaofang School of Automation Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China Institute of State 157 factory Chendu China

ISBN: (纸本)9781467325813

Problems of uncertain chaotic systems with fast terminal sliding mode control are discoursed. Aim at the uncertainty parameters of chaotic systems, proposed a fast terminal sliding mode control method, and the corresponding sliding surface and controller are designed, which make the state variables of the system fast convergence to the equilibrium point in the limited time. And the examples are given to verify the feasibility of the system.

关键词： Sliding mode control Electronic mail Synchronization Chaotic communication Uncertainty Educational institutions

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Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission

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Physical Review E 2020年第4期102卷 042314-042314页

作者： Yang Ye Qingpeng Zhang Zhongyuan Ruan Zhidong Cao Qi Xuan Daniel Dajun Zeng School of Data Science City University of Hong Kong Hong Kong SAR China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou Zhejiang China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Shenzhen Artificial Intelligence and Data Science Institute Shenzhen Guangdong China

Motivated by the importance of individual differences in risk perception and behavior change in people's responses to infectious disease outbreaks (particularly the ongoing COVID-19 pandemic), we propose a heterogeneous disease-behavior-information transmission model, in which people's risk of getting infected is influenced by information diffusion, behavior change, and disease transmission. We use both a mean-field approximation and Monte Carlo simulations to analyze the dynamics of the model. Information diffusion influences behavior change by allowing people to be aware of the disease and adopt self-protection and subsequently affects disease transmission by changing the actual infection rate. Results show that (a) awareness plays a central role in epidemic prevention, (b) a reasonable fraction of overreacting nodes are needed in epidemic prevention (c) the basic reproduction number R0 has different effects on epidemic outbreak for cases with and without asymptomatic infection, and (d) social influence on behavior change can remarkably decrease the epidemic outbreak size. This research indicates that the media and opinion leaders should not understate the transmissibility and severity of diseases to ensure that people become aware of the disease and adopt self-protection to protect themselves and the whole population.

关键词： Epidemic Spreading Multilayer & multiplex networks Social networks

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Social Manufacturing Development with Sino-Finnish Innovation Cooperation

Social Manufacturing Development with Sino-Finnish Innovatio...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Jian Liu Gang Xiong Xiuqin Shang Timo R.Nyberg Yiming Wang Tongkai Ji The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Cloud Computing Center Chinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences

Innovation is changing the world every day by offering new technical solutions for the society, and the technology development powered by innovation has been changing the operation and structure of traditional manufacturing. Social manufacturing is the new trend of manufacturing development, especially in the field of apparel industry. Social manufacturing can create opportunities for customers to participate in the produce process of tailoring, and to make more personalizing clothes, which will also benefit for the related companies' brand making process. With the assistance of internet technology and industry globalization, we can establish several modes about the trend of social manufacturing and new related technology, social manufacturing can also prompt the international division of labor by reducing the producing costs and enlarging the market capacity, we will analyze the advance of Sino-Finland cooperation in the field of innovation and apparel industry, the international cooperation in manufacturing industry will benefit both customers and industry revolution with the assistance of social manufacturing.

关键词： social manufacturing innovation apparel industry international cooperation

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Social manufacturing cloud service platform for the mass customization in apparel industry

Social manufacturing cloud service platform for the mass cus...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Xiuqin Shang Xiwei Liu Gang Xiong Changjian Cheng Yonghong Ma Timo R. Nyberg The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China Dongguan KAIN Electronic Science & Technology Company Limited Dongguan China BIT Research Centre Aalto University Finland

ISBN: (纸本)9781479905287

Social Manufacturing is a novel manufacturing mode, which can introduced in the apparel industrial and other fashion industries for the mass customization, based on network, 3D fitting mirror and other technologies. In social manufacturing, the consumers are involved fully into the production process by the internet; the manufacturing equipments and the intelligent interactive service terminals (3D fitting mirrors) are online, forming the manufacture and service equipment network; to realize the social manufacturing, a powerful modern logistics system are needed to support the production and E-business. Therefore, the manufacture and service equipment network, mass-customization or mass-rent webs involving a large number of people, and modern logistics network are combined in the social manufacturing platform by using the network, cloud technology, and other technologies. in the near future everyone will need the novel manufacture mode and the traditional enterprises, such as apparel enterprises, will be transformed into the intelligent enterprises which can proactively perceive and respond the personalized demands of the large quantity of consumers, and realize the mass customization by the social manufacture cloud service platform.

关键词： Three-dimensional displays Fitting Mirrors Clothing Production Business

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ABCP: Automatic block-wise and channel-wise network pruning via joint search

arXiv

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arXiv 2021年

作者： Li, Jiaqi Li, Haoran Chen, Yaran Ding, Zixiang Li, Nannan Ma, Mingjun Duan, Zicheng Zhao, Dongbing The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China The University of Chinese Academy of Sciences Beijing China The College of Engineering and Computer Science Australian National University ACT2601 Australia

Currently, an increasing number of model pruning methods are proposed to resolve the contradictions between the computer powers required by the deep learning models and the resource-constrained devices. However, most of the traditional rule-based network pruning methods can not reach a sufficient compression ratio with low accuracy loss and are time-consuming as well as laborious. In this paper, we propose Automatic Block-wise and Channel-wise Network Pruning (ABCP1) to jointly search the block-wise and channel-wise pruning action with deep reinforcement learning. A joint sample algorithm is proposed to simultaneously generate the pruning choice of each residual block and the channel pruning ratio of each convolutional layer from the discrete and continuous search space respectively. The best pruning action taking both the accuracy and the complexity of the model into account is obtained finally. Compared with the traditional rule-based pruning method, this pipeline saves human labor and achieves a higher compression ratio with lower accuracy loss. Tested on the mobile robot detection dataset, the pruned YOLOv3 model saves 99.5% FLOPs, reduces 99.5% parameters, and achieves 37.3× speed up with only 2.8% mAP loss. The results of the transfer task on the sim2real detection dataset also show that our pruned model has much better robustness performance. Copyright © 2021, The Authors. All rights reserved.

关键词： Reinforcement learning

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