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TCMFVis:A visual analytics system toward bridging together traditional Chinese medicine and modern medicine

Visual Informatics 2023年第1期7卷 41-55页

作者： Yichao Jin Fuli Zhu Jianhua Li Lei Ma School of Information Science and Engineering East China University of Science and TechnologyMeilong Road 130ShanghaiChina Shanghai Key Laboratory of New Drug Design School of PharmacyEast China University of Science and TechnologyMeilong Road 130ShanghaiChina

Although traditional Chinese medicine(TCM)and modern medicine(MM)have considerably different treatment philosophies,they both make important contributions to human health *** physicians usually treat diseases using TCM formula(TCMF),which is a combination of specific herbs,based on the holistic philosophy of TCM,whereas MM physicians treat diseases using chemical drugs that interact with specific biological *** difference between the holistic view of TCM and the atomistic view of MM hinders their *** that are able to bridge together TCM and MM are essential for promoting the combination of these *** this paper,we present TCMFVis,a visual analytics system that would help domain experts explore the potential use of TCMFs in MM at the molecular *** deals with two significant challenges,namely,(i)intuitively obtaining valuable insights from heterogeneous data involved in TCMFs and(ii)efficiently identifying the common features among a cluster of *** this study,a four-level(herb-ingredient-targetdisease)visual analytics framework was designed to facilitate the analysis of heterogeneous data in a proper *** set visualization techniques were first introduced into the system to facilitate the identification of common features among *** studies on two groups of TCMFs clustered by function were conducted by domain experts to evaluate *** results of these case studies demonstrate the usability and scalability of the system.

关键词： Traditional Chinese medicine Visual analytics Set visualization Molecular mechanism

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Accelerate Electromagnetic Scattering Computation with LSTM Neural Networks 7

Accelerate Electromagnetic Scattering Computation with LSTM ...

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7th IEEE International Symposium on Electromagnetic Compatibility, ISEMC 2023

作者： Yang, Yuanpeng Wang, Qingyao Xinyang, Shi Bo, Luo Fang, Chonghua China Ship Development and Design Centre Science and Technology on Electromagnetic Compatibility Laboratory Wuhan China Research Institute Wuhan Maritime Communication Wuhan China Changjiang Polytechnic Electromechanical Automobile Academy Wuhan China

ISBN: (纸本)9798350333107

This paper introduces an approach called Electromagnetic Long Short-Term Memory Neural Network (EM-LSTMNN) for accelerating Radar Cross-Section (RCS) computations in the optimization of low RCS for large-sized electric targets. The proposed method converts the conventional electromagnetic numerical calculation into an efficient numerical calculation using the LSTM neural network, resulting in a significant improvement in RCS computation speed. To assess the effectiveness of this approach, a downscaled model of a large-sized ship is employed as the target for low RCS optimization. Each modification made to the target's mesh data during the optimization process is stored in the dataset as a new element. As the ship scaling model undergoes modifications during the optimization process, the new mesh data is recorded, thus adding a new element to the dataset at each time step. This forms a time series representation of the mesh model. By utilizing the dataset collected throughout the optimization process, the proposed EM-LSTMNN model is trained using data-driven approaches, with a training time of approximately 106 seconds. It is worth noting that this training time is significantly smaller compared to existing methods that employ fully connected neural networks. The performance of the proposed approach is demonstrated by comparing the RCS calculation results obtained through this method with those obtained through traditional electromagnetic simulations. © 2023 IEEE.

关键词： Numerical methods

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A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting

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IEEE Transactions on Knowledge and Data Engineering 2023年第11期35卷 10967-10980页

作者： Li, Guanyao Zhong, Shuhan Deng, Xingdong Xiang, Letian Gary Chan, S.-H. Li, Ruiyuan Liu, Yang Zhang, Ming Hung, Chih-Chieh Peng, Wen-Chih Hong Kong University of Science and Technology Clear Water Bay Hong Kong Hong Kong Guangdong Enterprise Key Laboratory for Urban Sensing Monitoring and Early Warning Guangzhou Urban Planning and Design Survey Research Institute Guangzhou Guangdong510060 China The Hong Kong University of Science and Technology Department of Computer Science and Engineering Clear Water Bay Hong Kong Hong Kong Chongqing University College of Computer Science Chongqing400044 China National Chung Hsing University Department of Computer Science and Engineering Taichung402 Taiwan National Yang Ming Chiao Tung University Department of Computer Science Hsinchu30010 Taiwan

We study the forecasting problem for traffic with dynamic, possibly periodical, and joint spatial-temporal dependency between regions. Given the aggregated inflow and outflow traffic of regions in a city from time slots 0 to t-1, we predict the traffic at time t for any region. Prior arts in the area often considered the spatial and temporal dependencies in a decoupled manner, or were rather computationally intensive in training with a large number of hyper-parameters which needed tuning. We propose ST-TIS, a novel, lightweight and accurate Spatial-Temporal Transformer with information fusion and region sampling for traffic forecasting. ST-TIS extends the canonical Transformer with information fusion and region sampling. The information fusion module captures the complex spatial-temporal dependency between regions. The region sampling module is to improve the efficiency and prediction accuracy, cutting the computation complexity for dependency learning from O(n2) to O(nn), where n is the number of regions. With far fewer parameters than state-of-the-art deep learning models, ST-TIS's offline training is significantly faster in terms of tuning and computation (with a reduction of up to 90% on training time and network parameters). Notwithstanding such training efficiency, extensive experiments show that ST-TIS is substantially more accurate in online prediction than state-of-the-art approaches (with an average improvement of 9.5% on RMSE, and 12.4% on MAPE compared to STDN and DSAN). © 1989-2012 IEEE.

关键词： Forecasting

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Enhancing thermal conductivity of silicone rubber composites by insitu constructing SiC networks:A finite-element study based on first principles calculation

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Nano Research 2023年第1期16卷 1430-1440页

作者： Dongliang Ding Shiyu Zhang Haoyu Liang Xu Wang Ya Wu Yuanming Ye Zhenguo Liu Qiuyu Zhang Guangzhao Qin Yanhui Chen School of Chemistry and Chemical Engineering Shaanxi Key Laboratory of Macromolecular Science and TechnologyKey Laboratory of Special Functional and Smart Polymer Materials of Ministry of Industry and Information TechnologyNorthwestern Polytechnical UniversityXi’an 710072China Shenzhen Research Institute of Northwestern Polytechnical University Shenzhen 518057China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China Queen Mary University of London Engineering School Northwestern Polytechnical UniversityXi’an 710072China Institute of Flexible Electronics Northwestern Polytechnical UniversityXi’an 710072China Ningbo Institute of Northwestern Polytechnical University Ningbo 315103China

Polymer composites as thermal interface materials have been widely used in modern electronic *** this work,we report a novel method to prepare highly through-plane thermally conductive silicone rubber(SR)composites with vertically aligned silicon carbide fibers(VA-SiCFs)entangled by SiC nanowires(SiCNWs)***,a series of carbon fibers(CFs)skeletons were fabricated in sequence of coating poor thermally conductive polyacrylonitrile-based CFs with polydopamine,icetemplated assembly,and freeze-drying ***,VA-SiCFs networks,i.e.,long-range continuous SiCFs-SiCNWs networks,based on the prepared CFs skeletons,were in-situ obtained via template-assisted chemical vapor deposition *** thermal conductivity enhancement mechanism of VA-SiCFs networks on its SR composites was also intensively studied by finite element simulation,based on the first principles investigation of SiC,and Foygel’s *** in-situ grown VA-SiCFs networks possess high intrinsic thermal conductivity without the thermal interface between fillers,acting as the high-efficiency through-plane long-range continuous thermal conduction path,in which the SiCNWs were the in-plane“thermal spreader”.The VA-SiCFs/SR composites reached a high through-plane thermal conductivity,2.13 W/(m·K),at the filler loading of 15 vol.%,which is 868.2%,and 249.2%higher than that of pure SR sample,and random-CFs@polydopamine(PDA)/SR composites at the same content,*** VA-SiCFs/SR composites also exhibited good electrical insulation performance and excellent dimensional stability,which guaranteed the stable interfacial heat transfer of high-power density electronic devices.

关键词： silicon carbide fibers silicon carbide nanowires silicone rubber composites through-plane thermal conductivity first principles

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Simulation of Nuclear reactor Accident Scenarios using Physics-Informed Neural Networks and Transfer-Learning

Simulation of Nuclear Reactor Accident Scenarios using Physi...

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Electronic Information Engineering and Computer science (EIECS), 2021 International Conference on

作者： Yang Yu Yufei Xie Wenlin Wang Guohua Wu Haitao Lan Enbo Lin Ping An Zibin Sun Haichuan Zhang Yixian Wu National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology Changsha China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China School of Automation Wuhan University of Technology Wuhan China Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China Institute of Automotive Engineers Hubei University of Automotive Technology Shiyan China Nuclear Power Institute of China Chengdu China

ISBN: (数字)9798331531409

ISBN: (纸本)9798331531416

In a Loss of Coolant Accident (LOCA), reactor core temperatures can rise rapidly, leading to potential fuel damage and radioactive material release. This research presents a groundbreaking method that combines the power of Monte Carlo Sampling and Physics-Informed Neural Networks (PINNs) to simulate and effectively address the challenging Loss of Coolant Accidents (LOCA) in nuclear reactors. In the event of a LOCA, reactor core temperatures can soar rapidly, posing a significant threat to fuel integrity and potentially leading to the release of radioactive materials. By leveraging the strengths of both Monte Carlo Sampling and PINNs, this approach aims to provide a comprehensive and accurate simulation framework for assessing and mitigating the consequences of such accidents. The method yields high prediction accuracy (MAE: 0.033, RMSE: 0.098, R2: 0.814) and demonstrates robustness through transfer learning, maintaining strong performance (MAE: 0.064, RMSE: 0.163, R 2 : 0.735).

关键词： Radioactive materials Accuracy Monte Carlo methods Transfer learning Neural networks Robustness Data models Fuels Inductors Accidents

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Prediction of protected band edge states and dielectric tunable quasiparticle and excitonic properties of monolayer MoSi_(2)N_(4)

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npj Computational Materials 2022年第1期8卷 1216-1222页

作者： Yabei Wu Zhao Tang Weiyi Xia Weiwei Gao Fanhao Jia Yubo Zhang Wenguang Zhu Wenqing Zhang Peihong Zhang Department of Materials Science and Engineering and Shenzhen Institute for Quantum Science&engineering Southern University of Science and TechnologyShenzhenGuangdong518055China Guangdong Provincial Key Lab for Computational Science and Materials Design and Shenzhen Municipal Key Lab for Advanced Quantum Materials and DevicesSouthern University of Science and TechnologyShenzhenGuangdong518055China ICQD Hefei National Laboratory for Physical Science at the MicroscaleKey Laboratory of Strongly-Coupled Quantum Matter PhysicsChinese Academy of SciencesDepartment of Physicsand Synergetic Innovation Center of Quantum Information and Quantum PhysicsUniversity of Science and Technology of ChinaHefeiAnhui230026China Department of Physics University at BuffaloState University of New YorkBuffaloNY14260USA Department of Physics Dalian University of TechnologyDalianLiaoning116024China International Centre for Quantum and Molecular Structures Materials Genome InstituteDepartment of PhysicsShanghai University99 Shangda RoadShanghai200444China

The electronic structure of two-dimensional(2D)materials are inherently prone to environmental perturbations,which may pose significant challenges to their applications in electronic or optoelectronic devices.A 2D material couples with its environment through two mechanisms:local chemical coupling and nonlocal dielectric screening *** local chemical coupling is often difficult to predict or control *** dielectric screening,on the other hand,can be tuned by choosing the substrates or layer thickness in a controllable ***,a compelling 2D electronic material should offer band edge states that are robust against local chemical coupling *** it is demonstrated that the recently synthesized MoSi_(2)N_(4)is an ideal 2D semiconductor with robust band edge states protected from capricious environmental chemical coupling *** many-body perturbation theory calculations are carried out to illustrate how the band edge states of MoSi_(2)N_(4)are shielded from the direct chemical coupling effects,but its quasiparticle and excitonic properties can be modulated through the nonlocal dielectric screening *** unique property,together with the moderate band gap and the thermodynamic and mechanical stability of this material,paves the way for a range of applications of MoSi_(2)N_(4)in areas including energy,2D electronics,and optoelectronics.

关键词： dielectric protected quasi

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Multiscale microstructure-based constitutive modeling of high-temperature creep rupture in post-irradiated ODS steels

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Journal of Materials Research and technology 2025年 36卷 8037-8047页

作者： Xiaobao Fu Zhenyu Zhao Zeyuan Yan Yuntao Zhong Dengke Chen Ruiqian Zhang Bin Liu Qihong Fang Jia Li State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Hunan University Changsha 410082 PR China State Key Laboratory of Powder Metallurgy Central South University Changsha 410083 PR China Science and Technology on Reactor Fuel and Materials Laboratory Nuclear Power Institute of China Chengdu 610213 PR China Department of Engineering Mechanics School of Ocean and Civil Engineering Shanghai Jiao Tong University Shanghai 200240 PR China

Oxide dispersion strengthened (ODS) steel exhibits the great potential as structural materials in nuclear energy production, owing to the complex interface between the oxide particles and the matrix to enhance the resistance of radiation damage. However, the impact of irradiation-induced defects on the thermal creep rate and resistance of ODS steel currently remains inadequately understood. The point defect concentration with the increasing time is predicted, and the coarsening of oxide particles is quantitatively evaluated during the creep using the Ostwald ripening theory. Considering the irradiation-induced microstructure, a modified thermal creep rate model is proposed, and the thermal creep rate and creep strain of irradiated ODS steel are predicted at different temperatures. The results show that the thermal creep rate reaches 3 × 10 −5 s −1 at the temperature of 500 °C and stress of 200 MPa, while the thermal creep strain does not exceed 3 % at the temperature of 800 °C. The average size and number density of the irradiated ODS steel are 8.34 nm and 2.72 × 10 18 m −3 . Meanwhile, the effect of the activation energy on the thermal creep life is predicted at different temperatures. The thermal creep life is maintained in the higher temperature range, even exceeding 10,000 h at 600 °C for irradiated ODS steels. High temperature causes the increased dislocation activity, and the coarsened oxide particles effectively hinder dislocation motion, thereby maintaining structural stability. This work aims to shed light on the influence of post-irradiation microstructure on the thermal creep performance of irradiated ODS steels, ultimately leading to the improved prediction of creep life.

关键词： Irradiation Oxide dispersion strengthening Point defect Thermal creep rate

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design and analysis of a novel hybrid cooling method of high-speed high-power permanent magnet assisted synchronous reluctance starter/generator in aviation applications

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Chinese Journal of Aeronautics 2023年第3期36卷 285-302页

作者： Hong GUO Xu HE Jinquan XU Wei TIAN Xiaofeng DING Laicai JU Dehong LI School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China Science and Technology on Aircraft Control Laboratory Beihang UniversityBeijing 100083China Ningbo Innovation Research Institute Ningbo 315800China School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013China Beijing Shuguang Aviation Electric Co.LTD Beijing 101300China Aviation Industry Helicopter Design and Research Institute Jingdezhen 333001China

To improve the heat dissipation performance,this paper proposes a novel hybrid cooling method for high-speed high-power Permanent Magnet assisted Synchronous Reluctance Starter/Generator(PMa Syn R S/G)in aerospace *** hybrid cooling structure with oil circulation in the housing,oil spray at winding ends and rotor end surface is firstly proposed for the PMa Syn R S/*** the accurate loss calculation of the PMa Syn R S/G is proposed,which includes air gap friction loss under oil spray cooling,copper loss,stator and rotor core loss,permanent magnet eddy current loss and bearing *** parameter sensitivity analysis of the hybrid cooling structure is proposed,while the equivalent thermal network model of the PMa Syn R S/G is established considering the uneven spraying at the winding ***,the effectiveness of the proposed hybrid cooling method is demonstrated on a 40 k W/24000 r/min PMa Syn R S/G experimental platform.

关键词： Air gap friction loss Oil spray cooling Permanent magnet assisted synchronous reluctance starter/generator Thermal analysis Thermal network model

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Multi-Gated Photon Counting Optical Time-Domain Reflectometry

Multi-Gated Photon Counting Optical Time-Domain Reflectometr...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Wu, Peng Fan, Yun-Ru Song, Ri-Yao Li, Bin Wang, You Song, Hai-Zhi Deng, Guang-Wei Guo, Guang-Can Zhou, Qiang Institute of Fundamental and Frontier Sciences School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China Chengdu610054 China AVIC Chengdu Aircraft Design and Research Institute Chengdu610091 China Southwest Institute of Technical Physics Chengdu610041 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China

A multi-gated photon counting optical time-domain reflectometry is demonstrated. In our experiment, a 70-m-long fiber link is tested which tolerates a Fresnel reflection with 35.3 dB greater than the back scattering o... 详细信息

ISBN: (纸本)9781957171258

关键词： Reflection

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High sensitivity distributed lateral pressure sensor based on BOTDR 3

High sensitivity distributed lateral pressure sensor based o...

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3rd International Computing Imaging Conference, CITA 2023

作者： Wang, Ying Zhu, Zongda Xia, Xiaomeng Chen, Tong Deng, Yue Li, Can Bai, Fuwen Jin, Wei Tang, Xiaohui State Grid Information & Telecommunication Branch Beijing100761 China National Key Laboratory of Science and Technology on Tunable Laser Harbin Institute of Technology Harbin150001 China Energy Planning Institute Southwest Electric Power Design Institute co. Ltd Chengdu610021 China

ISBN: (纸本)9781510671409

In this work, a high-sensitivity distributed lateral pressure sensor based on Brillouin optical time-domain reflectometry (BOTDR) technique is proposed to enhance the pressure sensitivity using a double-coated single-mode fiber (SMF). Firstly, a pressure-induced strain model is developed to analyze the enhancement mechanism of pressure sensitivity by Brillouin frequency shift (BFS). With increasing of outer coating radius, or with decreasing of the Young’s modulus and Poisson’s ratio of outer coating, the lateral pressure sensitivity increases. By using a double-coated SMF whose outer coating radius is 1500 µm, a high sensitivity of -3.51 MHz/MPa in the range of 0-30 MPa is achieved, which is about five times higher than that of single-coated SMF. At a spatial resolution of 1.5 m, the maximum measurement error of the proposed pressure sensing system is less than 0.09 MPa. © 2023 SPIE.

关键词： Single mode fibers

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