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Machine learning study on time-temperature-transformation diagram of carbon and low-alloy steel

Journal of Iron and Steel research International 2023年第5期30卷 1032-1041页

作者： Xiao-ya Huang Biao Zhang Qiang Tian Hong-hui Wu Bin Gan Zhong-nan Bi Wei-hua Xue Asad Ullah Hao Wang School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China School of Materials Science and Engineering Beihang UniversityBeijing 100191China High Temperature Materials Research Division Central Iron and Steel Research InstituteBeijing 100081China Beijing Advanced Innovation Center for Materials Genome Engineering Collaborative Innovation Center of Steel TechnologyUniversity of Science and Technology BeijingBeijing 100083China Beijing Key Laboratory of Advanced High Temperature Materials Central Iron and Steel Research InstituteBeijing 100081China School of Materials Science and Engineering Liaoning Technical UniversityFuxin 123099LiaoningChina Department of Mathematical Sciences Karakoram International UniversityGilgit-Baltistan 15100Pakistan

Time-temperature-transformation(TTT)diagram plays a critical role in designing appropriate heat treatment process of steels by describing the relationship among holding time,temperature,and quantities of phase *** predictions for TTT diagrams of new steel rapidly and accurately is therefore of much practical importance,especially for costly and time-consuming experimental ***,TTT diagrams for carbon and low-alloy steels were predicted using machine learning *** commonly used machine learning(ML)algorithms,backpropagation artificial neural network(BP network),LibSVM,k-nearest neighbor,Bagging,and Random tree,were adopted to select appropriate models for the *** results illustrate that Bagging is the optimal model for the prediction of pearlite transformation and bainite transformation,and BP network is the optimal model for martensite ***,the ML framework composed of Bagging and BP network models was applied to predict the entire TTT ***,the ML models show superior performance on the prediction of testing samples than the commercial software JMatPro.

关键词： Time-temperature-transformation diagram Carbon steel Low-alloy steel Machine learning Prediction framework

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C+L-Band 16 × 16 16-Channel Silicon Photonics Wavelength Cross-Connect Switch Based on Waveguide Bragg Gratings 49

C+L-Band 16 × 16 16-Channel Silicon Photonics Wavelength Cr...

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49th European Conference on Optical Communications, ECOC 2023

作者： Ikeda, Kazuhiro Konoike, Ryotaro Suzuki, Keijiro Platform Photonics Research Center National Institute of Advanced Industrial Science and Technology Tsukuba305-8568 Japan

ISBN: (纸本)9781839539954

We demonstrate a largest ever port-and channel-count monolithically integrated wavelength cross-connect switch using 256 FSR-free grating-Assisted contra-directional couplers and 1,024 thermooptic Mach-Zehnder switches. The fabricated chip was fully packaged and controlled to measure spectra of representative switching states for all the 16 wavelength channels. © The Institution of Engineering & technology 2023.

关键词： Silicon photonics

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A Bitcoin Address Multi-Classification Mechanism Based on Bipartite Graph-Based Maximization Consensus

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Computer Modeling in Engineering & sciences 2024年第4期139卷 783-800页

作者： Lejun Zhang Junjie Zhang Kentaroh Toyoda Yuan Liu Jing Qiu Zhihong Tian Ran Guo College of Information Engineering Yangzhou UniversityYangzhou225127China Cyberspace Institute Advanced Technology Guangzhou UniversityGuangzhou510006China Research and Development Center for E-Learning Ministry of EducationBeijing100039China Institute of High Performance Computing(IHPC) Agency for ScienceTechnology and Research(A∗STAR)Singapore138632Singapore School of Physics and Materials Science Guangzhou UniversityGuangzhou510006China

Bitcoin is widely used as the most classic electronic currency for various electronic services such as exchanges,gambling,marketplaces,and also scams such as high-yield investment *** the services operated by a Bitcoin address can help determine the risk level of that address and build an alert model *** engineering can also be used to flesh out labeled addresses and to analyze the current state of Bitcoin in a small *** this paper,we address the problem of identifying multiple classes of Bitcoin services,and for the poor classification of individual addresses that do not have significant features,we propose a Bitcoin address identification scheme based on joint multi-model prediction using the mapping relationship between addresses and *** innovation of the method is to(1)Extract as many valuable features as possible when an address is given to facilitate the multi-class service identification task.(2)Unlike the general supervised model approach,this paper proposes a joint prediction scheme for multiple learners based on address-entity mapping ***,after obtaining the overall features,the address classification and entity clustering tasks are performed separately,and the results are subjected to graph-basedmaximization *** final result ismade to baseline the individual address classification results while satisfying the constraint of having similarly behaving entities as far as *** testing and evaluating over 26,000 Bitcoin addresses,our feature extraction method captures more useful *** addition,the combined multi-learner model obtained results that exceeded the baseline classifier reaching an accuracy of 77.4%.

关键词： Bitcoin multi-service classification graph maximization consensus data security

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Construction, photoelectric response and phase transition for new hybrid double perovskites showing narrow band gaps

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Chinese Chemical Letters 2023年第4期34卷 595-600页

作者： Changyuan Su Zhixu Zhang Jie Yao Ming Chen Peizhi Huang Yi Zhang Dawei Fu Liyan Xie Ordered Matter Science Research Center Jiangsu Key Laboratory for Science and Applications of Molecular FerroelectricsSoutheast UniversityNanjing 211189China Institute for Science and Applications of Molecular Ferroelectrics Key Laboratory of the Ministry of Education for Advanced Catalysis MaterialsZhejiang Normal UniversityJinhua 321004China Chaotic Matter Science Research Center Department of MaterialsMetallurgy and ChemistryJiangxi University of Science and TechnologyGanzhou 341000China

To explore the lead-free key scientific issue in perovskite, double perovskite based on Ag Bi and Cu Bi was naturally selected as a competitive candidate due to its fascinating functional features, such as self-powered circularly polarized light detection, X-ray detection, photoluminescence and so on. However, the most challenging point is to simulate the structure and function of traditional lead-based perovskite in new double perovskite. At the same time, there are few suitable double perovskite systems with optical and electrical potential. The above two points greatly limit the competitiveness of double perovskite. In order to solve this problem, firstly, by analyzing and comparing previous studies,we used 2,2-dimethylpropan-1-aminium(abbreviated as 2,2-DPA) as the organic template to assemble materials. Solid-to-solid phase transition materials(2,2-DPA)3Bi2I91 and(2,2-DPA)3Pb2I72 were constructed. Along the path of lead-free and two-dimensional maintenance, we successfully synthesized(2,2-DPA)4AgBiI8.H_(2)O 3 and(2,2-DPA)_(4)CuBiI8.H_(2)O 4. As two typical semiconductors, 3 and 4 with narrower optical band gaps of 1.98 and 1.76 e V show obvious photo-response when the xenon lamp with intensity of 20 m W/cm^(2)is on or off, implying that they may be applied to light-harvesting and light-detecting devices. By referring to the phase transition mechanism of 1 and 2, 3 may be caused by ordered-disordered transition of the organic part, which was proven to be the first solid-to-solid phase transition material with <100>-oriented layered double perovskites with n = 1 by systematic characterization methods after dehydration for all we know. We believed that this work can provide meaningful guidance for the development of lead-free double perovskites.

关键词： Double perovskite Photoelectric response Phase transition Dielectric properties Semiconducting behavior

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Design and implementation of intelligent LiDAR SLAM for autonomous mobile robots using evolutionary normal distributions transform

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Soft Computing 2024年第6期28卷 5321-5337页

作者： Huang, Hsu-Chih Xu, Sendren Sheng-Dong Lin, Hsien-Chan Xiao, Yuan-Sheng Chen, Yu-Xiang Department of Electrical Engineering National Ilan University Yilan260007 Taiwan Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei106335 Taiwan Advanced Manufacturing Research Center National Taiwan University of Science and Technology Taipei106335 Taiwan

This paper presents a method that employs an evolutionary normal distributions transform (NDT) for simultaneous localization and mapping (SLAM) using light detection and ranging (LiDAR) for autonomous mobile robots. An adaptive inertia weight and two genetic operators were employed in the Taguchi-based whale optimization algorithm (WOA) to improve the search diversity and avoid local optima. NDT was used to model the environment of differential-drive mobile robots and WOA was applied to optimize the scan matching for the robotic SLAM problem. The NDT-WOA determines the SLAM pose estimation using sensed data from the physical world. A nonholonomic mobile robot was steered to achieve the NDT-WOA SLAM task with the derived robot kinematics and actuator dynamics. The proposed method was implemented in a TurtleBot3 Burger robotic development kit, which includes a single-board computer and an OpenCR control board. The Robot Operating System (ROS) was utilized to implement the evolutionary NDT-WOA SLAM system due to its flexibility, open source, and client library. Simulation and comparisons were conducted to illustrate the efficiency of the proposed NDT-WOA SLAM method compared to other SLAM paradigms. The experimental results show the effectiveness of the proposed evolutionary NDT-WOA SLAM for autonomous mobile robots. The results could have theoretical and practical significance for robotics research. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.

关键词： Mobile robots

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ANALYSIS OF A FULLY DISCRETE FINITE ELEMENT METHOD FOR PARABOLIC INTERFACE PROBLEMS WITH NONSMOOTH INITIAL DATA

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Journal of Computational Mathematics 2022年第5期40卷 777-793页

作者： Kai Wang Na Wang Department of Mathematics Southern University of Science and TechnologyShenzhen 518005China Applied and Computational Mathematics Division Beijing Computational Science Research CenterBeijing 100193China

This article concerns numerical approximation of a parabolic interface problem with general L 2 initial *** problem is discretized by a finite element method with a quasi-uniform triangulation of the domain fitting the interface,with piecewise linear approximation to the *** semi-discrete finite element problem is furthermore discretized in time by the k-step backward difference formula with k=1,...,*** maintain high-order convergence in time for possibly nonsmooth L 2 initial value,we modify the standard backward difference formula at the first k−1 time levels by using a method recently developed for fractional evolution *** error bound of O(t−k nτk+t−1 n h 2|log h|)is established for the fully discrete finite element method for general L 2 initial data.

关键词： Parabolic interface problem Finite element method Backward difference formulae Error estimate Nonsmooth initial data.

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A new horizon for neuroscience:terahertz biotechnology in brain research

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Neural Regeneration research 2025年第2期20卷 309-325页

作者： Zhengping Pu Yu Wu Zhongjie Zhu Hongwei Zhao Donghong Cui Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina Department of Psychiatry Kangci Hospital of JiaxingTongxiangZhejiang ProvinceChina Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghaiChina Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied PhysicsChinese Academy of ScienceShanghaiChina National Facility for Protein Science in Shanghai Shanghai Advanced Research InstituteChinese Academy of SciencesShanghaiChina

Terahertz biotechnology has been increasingly applied in various biomedical fields and has especially shown great potential for application in brain *** this article,we review the development of terahertz biotechnology and its applications in the field of *** evidence indicates promising prospects for the use of terahertz spectroscopy and terahertz imaging techniques in the diagnosis of amyloid disease,cerebrovascular disease,glioma,psychiatric disease,traumatic brain injury,and myelin *** vitro and animal experiments have also demonstrated the potential therapeutic value of terahertz technology in some neuropsychiatric *** the precise underlying mechanism of the interactions between terahertz electromagnetic waves and the biosystem is not yet fully understood,the research progress in this field shows great potential for biomedical noninvasive diagnostic and therapeutic ***,the biosafety of terahertz radiation requires further exploration regarding its two-sided efficacy in practical *** review demonstrates that terahertz biotechnology has the potential to be a promising method in the field of neuropsychiatry based on its unique advantages.

关键词： biological effect brain neuron neuropsychiatry neuroscience non-thermal effect terahertz imaging terahertz radiation terahertz spectroscopy terahertz technology

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A 606 W burst-mode picosecond Yb-doped all-fiber laser with an intra-burst repetition rate of 469 MHz

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High Power Laser science and Engineering 2024年第6期12卷 168-177页

作者： Xinyao Li Haijuan Yu Shuzhen Zou Chaojian He Chaoyu Ning Wenjuan Wu Xuechun Chen Xuechun Lin Laboratory of All-Solid-State Light Sources Institute of SemiconductorsChinese Academy of SciencesBeijingChina College of Materials Science and Opto-Electronic Technology University of Chinese Academy of SciencesBeijingChina Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijingChina Beijing Engineering Technology Research Center of All-Solid-State Lasers Advanced Manufacturing BeijingChina Southwest Institute of Technical Physics ChengduChina

This paper introduces a novel fiber-based picosecond burst-mode laser system capable of operating at high power and high repetition rates. A pulse-circulating fiber ring was developed as a burst generator, achieving an intra-burst repetition rate of 469 MHz without the need for a high-repetition-rate seed source. This design also allows for flexible adjustment of the number of sub-pulses, burst repetition rate and burst shape. In addition, a master oscillator power amplifier was employed to analyze the amplification characteristics of bursts. The system demonstrated a maximum average power of 606 W, with a measured sub-pulse duration of 62 ps and the highest sub-pulse peak power of 980 kW. To the best of our knowledge, this marks the highest average power obtained in burst-mode ultrafast lasers. Such a laser system holds potential for applications in precision manufacturing, high-speed imaging, high-precision ranging and other diverse domains.

关键词： burst-mode laser high power high repetition rate picosecond fiber laser

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Regulating Lewis Acid-Base Sites over Fenton System for Enhancing Degradation of Pollutants in Saline and Buffered Wastewater

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Chinese Journal of Chemistry 2024年第21期42卷 2563-2571页

作者： Zhuan Chen Jun Li Bo Yang Jiazhen Cao Lingli Zhu Mingyang Xing Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering Feringa Nobel Prize Scientist Joint Research CenterSchool of Chemistry and Molecular EngineeringEast China University of Science and Technology130 Meilong RoadShanghai200237 China School of Chemical Engineering The University of AdelaideAdelaideSA5005 Australia Shanghai Engineering Research Center for Multimedia Environmental Catalysis and Resource Utilization East China University of Science and Technology130 Meilong RoadShanghai200237 China

The saline and buffered environment in actual wastewater imposes higher demands on Fenton and Fenton-like catalytic *** study developed a MoS_(2)co-catalytic Fe_(2)O_(3)Fenton-like system with controllable Lewis acid-base sites,achieving efficient treatment of various model pollutants and actual industrial wastewater under neutral buffered *** acidic microenvironment structured by the edge S sites(Lewis basic sites)in the MoS_(2)/Fe_(2)O_(3)catalyst is susceptible to the influence of Lewis acidic sites constructed by Mo and Fe element,affecting catalytic *** the ratio of precursor amounts ensures the stable presence of the acidic microenvironment on the surface of catalyst,enabling the beneficial co-catalytic effect of Mo sites to be ***,it transcends the rigid constraints imposed by the Fenton reaction on reaction environments,thereby expanding the applicability of commonplace oxides such as Fe_(2)O_(3)in actual industrial water remediation.

关键词： Fenton MoS_(2) Fe_(2)O_(3) Lewis acid-base sites Acidicmicroenvironment Iron cycle Degradation/Wastewater

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Evolution of medium-range order and its correlation with magnetic nanodomains in Fe-Dy-B-Nb bulk metallic glasses

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Journal of Materials science & technology 2024年第9期176卷 224-235页

作者： Jiacheng Ge Yao Gu Zhongzheng Yao Sinan Liu Huiqiang Ying Chenyu Lu Zhenduo Wu Yang Ren Jun-ichi Suzuki Zhenhua Xie Yubin Ke Jianrong Zeng He Zhu Song Tang Xun-Li Wang Si Lan Herbert Gleiter Institute of Nanoscience School of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China Department of Physics City University of Hong KongHong Kong SARChina City University of Hong Kong(Dongguan) Dongguan 523000China Japan Proton Accelerator Research Complex Japan Atomic Energy AgencyTokaiJapan Spallation Neutron Source Science Center Dongguan 523803China Guangdong-Hong Kong-Macao Joint Laboratory for Neutron Scattering Science and Technology DalangDongguan 523803China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China Shanghai Institute of Applied Physics Chinese Academy of SciencesShanghai 201800China Center for Neutron Scattering City University of Hong Kong Shenzhen Research InstituteShenzhen 518057China

Fe-based metallic glasses are promising functional materials for advanced magnetism and sensor *** magnetic performance in amorphous materials requires a thorough knowledge of the correlation between structural disorder and magnetic order,which remains *** practical difficulties remain:the first is directly observing subtle magnetic structural changes on multiple scales,and the second is precisely regulating the various amorphous *** we propose a novel approach to tailor the amorphous structure through the liquid-liquid phase ***-situ synchrotron diffraction has unraveled a medium-range ordering process dominated by edge-sharing cluster connectivity during the liquid-liquid phase ***,nanodomains with topological order have been found to exist in composition with liquid-liquid phase transition,manifesting as hexagonal patterns in small-angle neutron scattering *** liquid-liquid phase transition can induce the nanodomains to be more locally ordered,generating stronger exchange interactions due to the reduced Fe–Fe bond length and the enhanced structural order,leading to the increment of saturation ***,the increased local heterogeneity at the medium-range scale enhances the magnetic anisotropy,promoting the permeability response under applied stress and leading to a better stress-impedance *** experimental results pave the way to tailor the magnetic structure and performance through the liquid-liquid phase transition.

关键词： Fe-based metallic glass Liquid-liquid phase transition Medium-range ordering Magnetic nanodomain

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