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Stretchable organic electrochemical transistors via threedimensional porous elastic semiconducting films for artificial synaptic applications

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Nano Research 2023年第7期16卷 10206-10214页

作者： Yujie Peng Lin Gao Changjian Liu Jinyi Deng Miao Xie Libing Bai Gang Wang Yuhua Cheng Wei Huang Junsheng Yu State Key Laboratory of Electronic Thin Films and Integrated Devices School of Optoelectronic Science and EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 610054China School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringShanghai Key Laboratory of Lightweight Structural CompositesKey Laboratory of High Performance fibers&productsMinistry of EducationDonghua UniversityShanghai 201620China

Neuromorphic computing targets realizing biomimetic or intelligence systems capable of processing abundant tasks in parallel analogously to our brain,and organic electrochemical transistors(OECTs)that rely on the mixed ionic-electronic synergistic couple possess significant similarity to biological systems for implementing synaptic ***,the lack of reliable stretchability for synaptic OECTs,where mechanical deformation occurs,leads to consequent degradation of electrical ***,we demonstrate stretchable synaptic OECTs by adopting a three-dimensional poly(3-hexylthiophene)(P3HT)/styrene-ethylene-butylene-styrene(SEBS)blend porous elastic film for neuromorphic *** architecture shows the full capability to emulate biological synaptic *** the accumulated layer numbers of porous film enables tunable OECT output and hysteresis,resulting in transition in ***,with a trilayer porous film,large-scale conductance and hysteresis are endorsed for efficient mimicking of memory-dependent synapse *** from the interconnected three-dimensional porous structures,corresponding stretchable synaptic OECTs exhibit excellent mechanical robustness when stretched at a 30%strain,and maintain reliable electrical characteristics after 500 stretching ***,near-ideal weight updates with near-zero nonlinearities,symmetricity in long-term potentiation(LTP)and depression,and applications for image simulation are *** work paves a universal design strategy toward highperformance stretchable neuromorphic computing architecture and could be extended to other flexible/stretchable electronics.

关键词： organic electrochemical transistors(OECTs) artificial synapses porous films flexible electronics neuromorphic computing

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Toward to Real Low-Resolution Person Re-identification: A New Dataset and Baseline

Toward to Real Low-Resolution Person Re-identification: A Ne...

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2022 IEEE International Conference on Multimedia and Expo, ICME 2022

作者： Sun, Dongting Yang, Lulu Lan, Long Luo, Zhigang College of Computer Science and Technology National University of Defense Technology Institute for Quantum Information State Key Laboratory of High Performance Computing China

ISBN: (数字)9781665485630

ISBN: (纸本)9781665485630

Person re-identification(re-id) aims at querying and identifying the same target pedestrian in multiple non-overlapping cameras. However, in real scenarios, many person images captured by surveillance cameras tend to have low resolution due to camera hardware, shooting distance, viewing angle, etc. Many existing re-id methods mainly address the crossresolution person re-id problem, i.e., the high-low resolution mismatch problem. In contrast, the problem of matching low-resolution (LR) gallery images and query images with each other has been less studied. In this paper, we address this problem by developing a new gun-ball camera-based person re-id dataset and designing a LR re-id baseline model for this dataset to tackle the LR person matching problem. Extensive experiments validate the effectiveness of the proposed LR baseline model. © 2022 IEEE.

关键词： Cameras

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Medical image registration and its application in retinal images:a review

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Visual computing for Industry,Biomedicine,and Art 2024年第1期7卷 142-164页

作者： Qiushi Nie Xiaoqing Zhang Yan Hu Mingdao Gong Jiang Liu Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Singapore Eye Research Institute Singapore 169856Singapore State Key Laboratory of Ophthalmology Optometry and Visual ScienceEye HospitalWenzhou Medical UniversityWenzhou 325027China

Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse informa-tion of images,which may be captured under different times,angles,or *** several surveys have reviewed the development of medical image registration,they have not systematically summarized the existing med-ical image registration *** this end,a comprehensive review of these methods is provided from traditional and deep-learning-based perspectives,aiming to help audiences quickly understand the development of medical image *** particular,we review recent advances in retinal image registration,which has not attracted much *** addition,current challenges in retinal image registration are discussed and insights and prospects for future research provided.

关键词： Computer-aided diagnosis Medical image registration Deep learning Generative model Transformer Retina

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Research on Soil Moisture Prediction Based on LSTM-Transformer Model 1

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17th International Conference on Bio-Inspired computing: Theories and Applications, BIC-TA 2022

作者： Zhou, Tao He, Yuanxin Luo, Liang Ji, Shengchen Wuhan University of Technology Wuhan430000 China Ministry of Education Key Laboratory of High Performance Ship Technology Wuhan430000 China

ISBN: (数字)9789819915491

ISBN: (纸本)9789819915484

Soil moisture is one of the basic climate variables of the global climate observation system, and the prediction of soil moisture is of great significance for agricultural yield assessment, flood and drought prediction, and soil and water conservation. Aiming at the complexity of soil moisture influencing factors and their time-varying time series characteristics, we propose a Transformer model that introduces LSTM, which uses the sequential modeling capability of LSTM to extract contextual information for each data, and plays the role of position coding in the LSTM-Transformer model, and the multi-head attention mechanism in the model can highlight important features by weighting, so as to effectively process time series data. Taking soil moisture, soil evaporation, vegetation index, runoff and climate data at different depths of Xilin Gol grassland in Inner Mongolia from 2012 to 2022 as input variables, soil moisture at different depths from 2022 to 2023 was predicted, and the model prediction performance was compared with the traditional long short-term memory neural network (LSTM) and bidirectional long short-term memory neural network (BiLSTM) through the three statistical indicators of MAE, MAPE and RMSE. The LSTM-Transformer model has better performance for prediction of soil moisture at different depths. The prediction of soil moisture has great guiding significance for timely grasping grassland soil moisture and adopting proactive agricultural production. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Long short-term memory

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Coupled-mode phase matching on a silicon chip

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Physical Review A 2025年第3期111卷 033504-033504页

作者： Chao Wu Pingyu Zhu Miaomiao Yu Weihong Luo Qilin Zheng Kaikai Zhang Yingwen Liu Ping Xu Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha 410073 China Hefei National Laboratory Hefei 230088 China

Phase matching lies at the heart of the classical nonlinear process for frequency conversion and all-optical processing, as well as the spontaneous parametric process for the quantum light sources generation. In this work, we experimentally demonstrate the coupled-mode phase-matching (CMPM) engineered by the two-paralleled-coupled waveguides on a silicon-on-insulator (SOI) chip, extending the converted beam and entangled photons to the S band and L band. We measure the spectrum and efficiency of wavelength conversion, which successfully validates the designed CMPM scheme. We further measure the pairs generation rate of the biphoton based on the spontaneous four-wave mixing, which features a narrow bandwidth consistent well with the theoretical simulations. Multiple CMPM conditions can be achieved by exploiting the combinations of even and odd supermodes of the coupled system and tuned by designing a proper coupling gap between the two waveguides. The CMPM can extend the FWM nonlinear process ranging from the O band to the U band and even the midinfrared, enriching the working wavelength to a large extent. In addition, the CMPM features a discrete-band narrow bandwidth, which will greatly enhance the encoding density of frequency and the spectral purity of generated photon. In addition, our methods can be easily extended to a wide range of materials such as silicon nitride, dispensing with the dispersion engineering for phase matching.

关键词： Silicon nitride

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New Finite Difference Mapped WENO Schemes with Increasingly high Order of Accuracy

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Communications on Applied Mathematics and Computation 2023年第1期5卷 64-96页

作者： Jun Zhu Jianxian Qiu College of Science Nanjing University of Aeronautics and AstronauticsNanjing 210016JiangsuChina School of Mathematical Sciences and Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific Computing Xiamen UniversityXiamen 361005FujianChina

In this paper,a new type of finite difference mapped weighted essentially non-oscillatory(MWENO)schemes with unequal-sized stencils,such as the seventh-order and ninthorder versions,is constructed for solving hyperbolic conservation *** the purpose of designing increasingly high-order finite difference WENO schemes,the equal-sized stencils are becoming more and more *** more we use wider candidate stencils,the bigger the probability of discontinuities lies in all ***,one innovation of these new WENO schemes is to introduce a new splitting stencil methodology to divide some fourpoint or five-point stencils into several smaller three-point *** the usage of this new methodology in high-order spatial reconstruction procedure,we get different degree polynomials defined on these unequal-sized stencils,and calculate the linear weights,smoothness indicators,and nonlinear weights as specified in Jiang and Shu(***.126:202228,1996).Since the difference between the nonlinear weights and the linear weights is too big to keep the optimal order of accuracy in smooth regions,another crucial innovation is to present the new mapping functions which are used to obtain the mapped nonlinear weights and decrease the difference quantity between the mapped nonlinear weights and the linear weights,so as to keep the optimal order of accuracy in smooth *** new MWENO schemes can also be applied to compute some extreme examples,such as the double rarefaction wave problem,the Sedov blast wave problem,and the Leblanc problem with a normal CFL *** numerical results are provided to illustrate the good performance of the new finite difference MWENO schemes.

关键词： Finite difference Mapped WENO scheme Mapping function Mapped nonlinear weight Unequal-sized stencil Extreme example

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Interacting plexcitons for designed ultrafast optical nonlinearity in a monolayer semiconductor

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Light(Science & Applications) 2022年第5期11卷 877-887页

作者： Yuxiang Tang Yanbin Zhang Qirui Liu Ke Wei Xiang’ai Cheng Lei Shi Tian Jiang College of Advanced Interdisciplinary Studies National University of Defense Technology410073 ChangshaChina Key Laboratory of Micro-and NanoPhotonic Structures(Ministry of Education) and State Key Laboratory of Surface PhysicsDepartment of PhysicsFudan University200433 ShanghaiChina State Key Laboratory of High Performance Computing College of ComputerNational University of Defense Technology410073 ChangshaChina Beijing Institute for Advanced Study National University of Defense Technology100000 BeijingChina

Searching for ideal materials with strong effective optical nonlinear responses is a long-term task enabling remarkable breakthroughs in contemporary quantum and nonlinear ***,hybridized light-matter quasiparticles,are an appealing candidate to realize such ***,we explore a class of peculiar polaritons,named plasmon–exciton polaritons(plexcitons),in a hybrid system composed of silver nanodisk arrays and monolayer tungsten-disulfide(WS2),which shows giant room-temperature nonlinearity due to their deep-subwavelength localized ***,comprehensive ultrafast pump–probe measurements reveal that plexciton nonlinearity is dominated by the saturation and higher-order excitation-induced dephasing interactions,rather than the well-known exchange interaction in traditional microcavity ***,we demonstrate this giant nonlinearity can be exploited to manipulate the ultrafast nonlinear absorption properties of the solid-state *** findings suggest that plexcitons are intrinsically strongly interacting,thereby pioneering new horizons for practical implementations such as energy-efficient ultrafast all-optical switching and information processing.

关键词： nonlinearity monolayer nonlinear

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GPU Parallelization and Optimization of a Combustion Simulation Application 24

GPU Parallelization and Optimization of a Combustion Simulat...

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24th IEEE International Conference on high performance computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Liao, Zhixiang Liu, Yongzhou Che, Yonggang Institute for Quantum Information College of Computer National University of Defense Technology State Key Laboratory of High Performance Computing Changsha China

ISBN: (纸本)9798350319934

Graphics processing units (GPUs) are widely used in the area of scientific computing. While GPUs provide much higher peak performance, efficient implementation of real applications on the GPU architectures is still a non-trivial task. It is crucial to realize efficient solution algorithms that can better utilize GPU architectures. This paper presents our efforts in parallelizing and optimizing LESAP, a CFD application for scramjet combustion simulation, on NVIDIA GPUs. The GPU parallelization is realized based on the CUDA programming model, with a data-parallel implicit time-marching method that is efficient on the GPU architecture. Furthermore, shared memory and redundant calculation are proposed to reduce memory access overhead during GPU computation, and data transfer between CPU and GPU is optimized by packing the data to be transferred. The experimental results show that the GPU version, when runs on four V100 GPUs, achieves a speedup of 11.26 times compared to the CPU version that runs on two 24-core Intel Skylake Gold 6240R CPUs. Excellent parallel scalability across multiple GPUs is also observed. © 2022 IEEE.

关键词： Graphics processing unit

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The Optimization of Multi-physics Application Simulated by Lattice Boltzmann Method Based on Domestic Processors 23

The Optimization of Multi-physics Application Simulated by L...

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2nd International Conference on Networks, Communications and Information technology, CNCIT 2023

作者： Liu, Yi Peng, Lin Zhang, Peng Qiu, Yan Long Zhang, Sen Guo, Xiaowei Yang, Canqun College of Computer National University of Defense Technology Hunan Changsha China Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Hunan Changsha China

ISBN: (纸本)9798400700620

LBM can conveniently deal with the interaction between fluid and solid. Thus, it is widely used in numerical simulation of multi-physics applications. Based on the domestic processor FT-2000, the numerical simulation of Rayleigh-Bnard convection is carried out. Through performance tests, it is found that the function call overhead of the numerical simulation process occupies nearly of the execution time. By expanding the function call process and reorganizing the data structure, the simulation time for 104 simulation timestep declines from 9236s to 2754s, and the simulation performance of Rayleigh-Bnard convection has improved about . © 2023 ACM.

关键词： Kinetic theory

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Tailoring d-band center over electron traversing effect of Ni M@C-CoP(M=Zn,Mo,Ni,Co)for high-performance electrocatalysis hydrogen evolution

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Journal of Materials Science & technology 2023年第35期166卷 164-172页

作者： Hao Luo Xudong Zhang Hui Zhu Kexin Zhang Fan Yang Kewei Xu Sen Yu Dagang Guo State Key Laboratory for Mechanical Behavior of Materials School of Materials Science and EngineeringXi’an Jiaotong UniversityXi’an710049China Center for High Performance Computing Network Information CenterXi’an Jiaotong UniversityXi’an710049China State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong UniversityXi’an710049China Shaanxi Key Laboratory of Biomedical Metal Materials Northwest Institute for Non-ferrous Metal ResearchXi’an710016China

Attaining a highly efficient and inexpensive electrocatalyst is significant for the hydrogen evolution reaction(HER)but still challenging *** transition-metal phosphides(TMPs)catalysts with platinum-like electronic structures are a potential candidate for the HER,but those are prone to be strongly bound with hydrogen intermediates(H∗),resulting in sluggish HER *** we report a unique hybrid structure of CoP anchored on graphene nanoscrolls@carbon nano tubes(CNTs)scaffold(Ni M@C-CoP)encapsulating various Ni M(M=Zn,Mo,Ni,Co)bimetal nanoalloy via chemical vapor deposi-tion(CVD)growth of CNT on graphene nanoscrolls followed by the impregnation of cobalt precursors and phosphorization for efficiently electrocatalytic hydrogen *** nanoparticles mainly scattered at the tip of CNT branches which exhibited the analogical“Three-layer core-shell”*** and density functional theory(DFT)calculations consistently disclose that the encapsulated various NiMs can offer different numbers of electrons to weaken the interactions of outmost CoP with H∗and push the downshift of the d-band center to different degrees as well as stabilize the outmost CoP nanopar-ticles to gain catalytic stability via the electron traversing *** electrocatalytic HER activity can be maximumly enhanced with low overpotentials of 78 mV(alkaline)and 89 mV(acidic)at a current density of 10 mA/cm^(2) and sustained at least 24 h especially for NiZn@C-CoP *** novel system is distinct from conventional three-layer heterostructure,providing a specially thought of d-band center control engineering strategy for the design of heterogeneous catalysts and expanding to other electrocat-alysts,energy storage,sensing,and other applications.

关键词： Electron traversing effect 3D graphene/CNT CoP nanoparticle d-band center Hydrogen evolution

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