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2024 4th International Conference on Intelligent Traffic Systems and Smart City, ITSSC 2024

作者： Lin, Tianzhen Liu, Hengyu Wang, Cui Yang, Huimin R&D Center Qingdao Bonin Fortune Intelligent Transportation Technology Development Co. Ltd. Qingdao266111 China

ISBN: (纸本)9781510686304

The growth of passenger flow in Qingdao Metro has led to the rise of customer service demand. The existing customer service system is constructed based on NLP and knowledge graph, which has the problems of inaccurate understanding of questions, low correlation of answers, and low passenger satisfaction. With the development of large language model technology, customized large language models combined with domain-specific knowledge are increasingly applied to practical application scenarios. After comparing the mainstream open-source large language models, this paper selects Qwen2-7B model as the base model, combines the special knowledge of Qingdao Metro customer service field, generates the Qingdao Metro special customer service model through pre-training and fine-tuning, and develops the Qingdao Metro intelligent customer service agent by means of retrieval-augmented generation and prompt engineering. The evaluation test shows that the score of the model reaches 87 points, which is greater than the 80 points of the Qwen2-7B general model and the 45 points of the existing customer service system. Compared with the original customer service system of Qingdao Metro, the answer accuracy of the model is increased by 38%, and the answer accuracy is increased by 16% compared with the general model. The proprietary large language model of metro intelligent customer service based on open source large language model can effectively solve passenger problems and improve passenger satisfaction. © 2025 SPIE.

关键词： Sales

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Ultralow-Vertical-Current Magnetization Switching Effect in an All Van der Waals 2d Heterostructure

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Chinese Physics Letters 2025年第2期42卷 239-248页

作者： Hao Wu Li Yang Gaojie Zhang Wen Jin Jie Yu Bichen Xiao Ahmed Annas Wenfeng Zhang Haixin Chang Center for Joining and Electronic Packaging State Key Laboratory of Material Processing and Die&Mold TechnologySchool of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China Wuhan National High Magnetic Field Center and Institute for Quantum Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China Shenzhen R&D Center of Huazhong University of Science and Technology Shenzhen 518000China

The manipulation of magnetization and spin polarization using electrical currents represents a fundamental breakthrough in *** has formed the foundation for data storage and next-generation computing ***-transfer torque(STT)and spin-orbit torque(SOT)have emerged as prominent mechanisms in current-driven magnetization ***,these approaches typically require critical current densities in the range of 10^(6) to 10^(9) A·cm^(-2),resulting in significant heat generation during data writing ***,we report the discovery of an ultralow-vertical-current magnetization switching effect in a van der Waals ferromagnetic/ferroelectric heterostructure based on the modulation of the critical magnetic field(H_(C))using small vertical currents,with a critical current density as low as 1.81A·cm^(-2) and an average effective field(H_(eff)/J_(C))as high as 150.3mT·A^(-1)·cm^(2).This unique magnetization switching effect with ultralow-critical-vertical-current densities typically six to nine orders of magnitude lower than those of the STT and SOT provides a new transformative and viable pathway for developing next-generation spintronic and quantum technologies.

关键词： magnetization critical typically

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Mesoporous SiO2 nanoparticles with low surface energy and multilevel roughness as shale wellbore stabilizers in oil-based drilling fluid

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Petroleum Science 2025年第1期22卷 384-397页

作者： Hong-Yan du Kai-He Lv Jin-Sheng Sun Mei-Chun Li Yuan Geng Xian-Bin Huang Hao-Kun Shen Muhammad Arqam Khan School of Petroleum Engineering China University of PetroleumEast China Key Laboratory of Unconventional Oil & Gas Development Ministry of Education CNPC Engineering Technology R&D Company Ltd. Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Materials Science and Engineering Nanjing Forestry University Department of Petroleum Engineering NED University of Engineering & Technology

Oil-based drilling fluids possess excellent properties such as shale inhibition, cuttings suspension, and superior lubrication, making them essential in the development of unconventional oil and gas ***, wellbore instability, caused by the invasion of drilling fluids into shale formations, remains a significant challenge for the safe and efficient extraction of shale oil and gas. This work reports the preparation of mesoporous SiO2nanoparticles with low surface energy, utilized as multifunctional agents to enhance the performance of oil-based drilling fluids aimed at improving wellbore stability. The results indicate that the coating prepared from these nanoparticles exhibit excellent hydrophobicity and antifouling properties, increasing the water contact angle from 32°to 146°and oil contact angle from 24°to134.8°. Additionally, these nanoparticles exhibit exceptional chemical stability and thermal *** these nanoparticles into oil-based drilling fluids reduced the surface energy of the mud cake from 34.99 to 8.17 m J·m-2and increased the roughness of shale from 0.26 to 2.39 μm. These modifications rendered the mud cake and shale surfaces amphiphobic, effectively mitigating capillary infiltration and delaying the long-term strength degradation of shale in oil-based drilling fluids. After 28days of immersion in oil-based drilling fluid, shale cores treated with MF-SiO2exhibited a 30.5% increase in compressive strength compared to untreated cores. Additionally, these nanoparticles demonstrated the ability to penetrate and seal rock pores, reducing the API filtration volume of the drilling fluid from11.2 to 7.6 m L. This study introduces a novel approach to enhance the development of shale gas and oil resources, offering a promising strategy for wellbore stabilization in oil-based drilling fluid systems.

关键词： Fluorosilane Wettability Wellbore stability drilling engineering Self-cleaning Antifouling

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Unveiling the roles of initial phase constituents and phase metastability in hydrogen embrittlement of TrIP-assisted VCrCoFeNi medium-entropy alloys

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材料科学技术（英文版） 2025年第4期207卷 160-176页

作者： Sang Yoon Song dae Cheol Yang Han-Jin Kim Sang-In Lee Hyeon-Seok do Byeong-Joo Lee Alireza Zargaran Seok Su Sohn Department of Materials Science and Engineering Korea University 02841 SeoulRepublic of Korea Green Energy Materials Research Team Hyundai Motor Company Uiwang R&D Center 16082 UiwangRepublic of Korea Institue of Advanced Technology Development Hyundai Motor Group 13529 SeongnamRepublic of Korea Department of Materials Science and Engineering Pohang University of Science and Technology 37673 PohangRepublic of Korea Graduate Institute of Ferrous & Energy Materials Technology Pohang University of Science and Technology37673 PohangRepublic of Korea

Medium-entropy alloys(MEAs)that exhibit transformation-induced plasticity(TrIP)from face-centered cubic(FCC)to body-centered cubic(BCC)are considered promising for liquid hydrogen environments due to their remarkable cryogenic ***,studies on hydrogen embrittlement(HE)in BCC-TrIP MEAs have not been conducted,although the TrIP effect and consequent BCC martensite usually deteri-orate HE *** these alloys,initial as-quenched martensite alters hydrogen diffusion and trap behavior,and deformation-induced martensitic transformation(dIMT)provides preferred crack propaga-tion sites,which critically affects HE ***,this study aims to investigate the HE behav-ior of BCC-TrIP MEAs by designing four V10Cr10Co30Fe50-xNix(x=0,1,2,and 3 at％)MEAs,adjusting both the initial phase constituent and phase metastability.A decreased Ni content leads to a reduced fraction and mechanical stability of FCC,which in turn increases HE susceptibility,as determined through electro-chemical hydrogen pre-charging and slow-strain rate tests The permeation test and thermal desorption analysis reveal that the hydrogen diffusivity and content are affected by initial BCC fraction,interconnec-tivity of BCC,and refined *** these initial phase constituents differ between the alloys with FCC-and BCC-dominant initial phase,microstructural factors affecting HE are unveiled discretely among these al-loy groups by correlation of hydrogen-induced crack behavior with hydrogen diffusion and trap *** alloys with an FCC-dominant initial phase,the initial BCC fraction and dIMT initiation rate emerge as critical factors,rather than the extent of *** BCC-dominant alloys,the primary contributor is an increase in the initial BCC fraction,rather than the extent or rate of *** unraveled roles of microstructural factors provide insights into designing HE-resistant BCC-TrIP MEAs.

关键词： Medium-entropy alloys(MEAs) Transformation-induced plasticity(TrIP) Hydrogen embrittlement Hydrogen-induced crack Hydrogen diffusion and trapping

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Accelerating deep Neural Networks with a Low-Cost Lossless Compression

Accelerating Deep Neural Networks with a Low-Cost Lossless C...

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2025 International Conference on Electronics, Information, and Communication, ICEIC 2025

作者： Kim, Seongwook Byeon, Gwangeun Lee, Seungeui Bae, Youngseok Hong, Seokin Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of Advanced R&D Center Hanwha Systems Co. Ltd. Korea Republic of Agency for Defense Development Emerging Science and Technology Directorate Korea Republic of

ISBN: (纸本)9798331510756

Since deep learning inference involves a significant amount of computations, there have been a lot of efforts to accelerate the inference process by eliminating ineffectual compu-tations. As a solution to this problem, several sparsity-aware deep learning accelerators have been proposed. These accelerators perform the inference on compressed data (filters and feature maps) and dynamically remove the ineffectual multiplications with zero operands. For efficiently handling the compressed data on the accelerators, a simple and effective compression scheme, which encodes the whole data with its nonzero values and their positions, is necessary. However, prior approaches have several shortcomings, such as low compression efficiency and high complexity in compression and decompression hardware. This paper proposes a low-cost compression scheme that can be applied to sparsity-aware deep-learning accelerators. The compression scheme synergistically combines two low-cost compression schemes: Zero-Value Compression (ZVC) and Base-delta-Immediate Compression (BdI). Our experimental evaluation shows that the proposed compression scheme achieves an average compression ratio of 2.26, resulting in 2.33x performance improvement, © 2025 IEEE.

关键词： data handling

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recovery of rare earth elements and thorium from acid leaching residue of ionic rare earth concentrates

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Journal of rare Earths 2025年第4期43卷 794-804,I0006页

作者： Qiaofa Lan Xiaolin Zhang Fei Niu donghui Liu Leiting Shen Youming Yang Faculty of Materials Metallurgy and Chemistry Jiangxi University of Science and TechnologyGanzhou341000China National Engineering Research Center for Ionic Rare Earth Ganzhou341000China School of Metallurgy and Environment Central South UniversityChangsha410083China Guangdong Provincial Key Lab of R&D for Resource Utilization and Disposal of Hazardous Liquids Shenzhen518057China School of Rare Earth and New Materials Engineering Gannan University of Science and TechnologyGanzhou341000China Key Laboratory of Development and Application of Ionic Rare Earth Resources(Jiangxi University of Science and Technology) Ministry of EducationGanzhou341000China

The acid leaching residue(ALr)of ionic rare earth(IrE)concentrates containing radioactive elements such as thorium(Th)is classified as low-level radioactive *** holds valuable strategic resources such as rare earth and Th,while improper long-term heaping storage of ALr poses a substantial environmental *** paper proposes a comprehensive process involving low-temperature roasting,hydrochloric acid leaching,single extractant enrichment,and stepwise stripping to recover rare earth elements and thorium from *** achieved leaching efficiencies are 80.11%of LnY,99.43%of Sc(Ⅲ),and 98.67%of Th(Ⅳ)after the carbonization of the organic phase in the ALr through low-temperature *** large amounts of acid and impurities present in the leachate,2-ethylhexyl phosphonic acid mono 2-ethylhexyl ester(HEHEHP)still exhibits nearly 100%extraction efficiency for Sc(Ⅲ)and Th(Ⅳ).The effective separation of LnY,Th(Ⅳ),and Sc(Ⅲ)was achieved by implementing fractional extraction enrichment of Th(Ⅳ)and Sc(Ⅲ),followed by Th(Ⅳ)removal through H_(2)SO_(4)and Sc(Ⅲ)removal via NaOH from the loaded organic *** scheme successfully achieves a recovery of rE and Th and offers a viable solution for the safe disposal of ALr.

关键词： Low-level radioactive waste rare earths Thorium Solvent extraction resource recovery

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development of Battery Management System with PCM using Neural Network Based Aging Algorithm for Electric Vehicle

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IEIE Transactions on Smart Processing and Computing 2025年第2期14卷 280-296页

作者： Yoon, Seong Jun Talluri, Teresssa Angani, Amarnathvarma Chung, Hee Tae Shin, Kyoo Jae Department of Artificial Intelligence Convergence Busan University of Foreign Studies 65 Geumsaem-ro 485 Beon-gil Geumjeong-gu Busan 46234 South Korea Automotive Material & Component R&D Group Korea Institute of Industrial Technology 6 7 Cheomdangwagi-ro 208beon-gil Buk-Gu Gwangju South Korea

The increase in battery temperatures results in the critical risks, including explosions, therefore need of efficient thermal management is increasing. In this point of view, we proposed a novel approach to battery thermal control, employing hot soaking and cold soaking experiments for the first time to identify phase change materials (PCMs) that enhance battery safety under temperature conditions. Machine learning methods such as Llng short-term memory (LSTM) and random forest (rF) models were applied and thermal performance was investigated in lithium polymer pouch batteries integrated with PCMs for fast and accurate prediction. Experiments were conducted at normal temperature of 25^◦C, hot temperature of 50^◦C, and cold temperature of −10^◦C. Thermal performance metrics such as maximum temperature and thermal gradient ∆T were measured during discharge of the battery. In this study we selected PCMs such as rT15, rT31, EG5, EG26, and EG28 to evaluate the performance with LSTM and rF are applied to predict temperature variations influencing thermal behavior. results indicated that EG26 and EG28 PCMs, significantly improved thermal performance under extreme conditions. The LSTM model demonstrated high predictive accuracy of 99% compared to rF model with 97%. This integrated model approach provided both high predictive accuracy and valuable insights into battery thermal performance, underscoring the importance of PCM selection to ensure battery longevity and stability across diverse environments. © 2025 Institute of Electronics Engineers of Korea. All rights reserved.

关键词： Battery thermal management Electric vehicle Long Short Memory Model Phase change material Prediction of battery temperature random Forest method

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Engineering heterogeneous microstructures for enhanced strength and ductility in air-cooled Al−Mg−Si alloys

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Transactions of Nonferrous Metals Society of China 2025年第4期35卷 1017-1031页

作者： Yi-han GAO Xin-xin ZHANG Jing-zhe ZHOU Peng XU Zhi-jie XIN Jun-hua GAO Yan-hao SHI You LÜ Yu-fang ZHAO Jing-yang LI School of Aerospace Engineering North University of ChinaTaiyuan 030051China Key Laboratory of Material Chemistry for Energy Conversion and Storage Ministry of EducationHubei Key Laboratory of Material Chemistry and Service FailureSchool of Chemistry and Chemical EngineeringHuazhong University of Science and TechnologyWuhan 430074China R&D Material Division Press Metal International Ltd.Foshan 528137China School of Mechanical Engineering North University of ChinaTaiyuan 030051China

The heterogeneity ofα-Al(Fe,Mn)Si dispersoids andβ″precipitates was tuned to enhance the strength−ductility synergy of air-cooled Al−Mg−Si *** electron microscopy(SEM)and transmission electron microscopy(TEM)were employed to elucidate the microstructural parameters of these two strengthening *** results show that the microstructural heterogeneity can be triggered by the absence of homogenization,resulting in the presence of dispersoid-free zones(dFZs)and dispersoid zones(dZs),in conjunction with bimodalβ″*** analytical calculations,from the strengthening model,clarify that the strategically dispersedα-Al(Fe,Mn)Si andβ″particles create“soft”and“hard”domains within the alloy,resultantly improving the mechanical properties.

关键词： Al−Mg−Si alloy microstructure heterogeneity dispersoid nanoprecipitate mechanical property

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Efficient predictive simulation of tool wear in face milling using an advanced 3d numerical approach

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Wear 2025年

作者： Methon, Grégory Courbon, Cédric Auzenat, François M'Saoubi, rachid Girinon, Mathieu rech, Joël Ecole Centrale de Lyon CNRS ENTPE LTDS UMR5513 ENISE 42023 Saint Etienne France R&D Milling and Process Seco Tools AB 22 avenue de la prospective 18020 Bourges France R&D Material and Technology Development Seco Tools AB FagerstaSE-73782 Sweden Cetim 7 rue de la Presse Saint-Etienne42952 France

Being able to predict tool life and the optimal cutting conditions for any combination of cutting tool system and workmaterial is clearly an up-to-date research issue. This work presents an innovative strategy for predicting efficiently tool wear in face milling operations. The primary objective is to develop a methodology capable of handling complex 3d geometries and tool paths within an industrially acceptable computing time. The approach involves a new 3d multi-scale numerical method based on discretizing the tool cutting edge into 2d elementary sections. A 2d Arbitrary Lagrangian-Eulerian (ALE) finite element cutting model is employed to compute local contact pressure, sliding velocity, and heat flux along each section in parallel. An elementary wear equation is applied to calculate the local wear rate after a given time increment, simulating all 2d worn profiles. These profiles are then merged to generate the updated 3d geometry of the worn tool. An iterative procedure is conducted to simulate the evolution of the cutting tool geometry over an extended cutting period. By achieving a good agreement with experimental results in a reasonable computation time, this strategy demonstrates significant potential for optimizing tool life and performance in milling operations. © 2025 Elsevier B.V.

关键词： Milling (machining)

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On the wear mechanisms of uncoated and coated pcBN tools during turning of 17–4 PH martensitic stainless steel

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International Journal of refractory Metals and Hard materials 2025年 127卷

作者： Bjerke, A. Casas, J. Lenrick, F. Andersson, J.M. M'Saoubi, r. Bushlya, V. Division of Production and Materials Engineering Lund University Box 118 Lund22100 Sweden R&D Materials and Technology Development Seco Tools AB Fagersta737 82 Sweden

Polycrystalline cubic boron nitride (pcBN) is a very promising tool material for turning martensitic stainless steels at high cutting speeds (vc > 200 m/min). The competitive advantage of pcBN over cemented carbide increases as the cutting speed is increased. Changing the speed might lead to a shift in the wear balance and hence the knowledge about tool wear below vc = 200 m/min might not be applicable at vc = 600 m/min. The coatings designed for the lower speed range might also not be performing in the same way at higher speeds. This paper investigates the wear mechanism of uncoated and (Ti,Al)N coated pcBN tools when turning 17–4 PH in a hardened condition at speeds vc = 200–600 m/min. Both scanning and transmission electron microscopy are used to study the worn tools. The in-depth analysis reveals that adhesive wear is only active at low speeds. Increasing the speed does however lead to more wear by diffusion and oxidation. The cBN is preferentially worn out, leaving the TiC binder at the tool-chip interface. Oxidation results in the accelerated wear of the pcBN but also in the formation of metal oxides within the adhered build up layer. The (Ti,Al)N coating does not significantly extend the tool life within this speed range, but it suppresses the adhesive wear mechanism preventing premature tool failure. © 2024 The Author(s)

关键词： Cubic boron nitride

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