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2nd International Conference on Artificial Intelligence and Automation control, AIAC 2024

作者： Lin, Runqi Zhuang, Jiafan Hao, Zhifeng Fan, Zhun Shantou University Department of Electronic Engineering Shantou515063 China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China ShenZhen611731 China

ISBN: (纸本)9798331529147

Lightweight object detection algorithms, represented by YOLOv8n, have achieved significant optimization in terms of model size and parameter count. However, the neck network of YOLOv8n is not efficient at fusing contextual information, and the backbone network's feature extraction capabilities are limited. This results in challenges such as missed and incorrect detections in complex images, occluded objects, or scenes with significant background noise, making it difficult to meet the requirements of end-to-end industrial deployments. To address these issues, this paper proposes a lightweight object detection algorithm based on an enhanced YOLOv8n architecture. By integrating FasterBlock, GhostConv, and BiFPN modules, the model's detection performance and feature extraction capabilities are significantly improved, while the overall model size is reduced. Additionally, we constructed a dataset based on experimental scenarios to validate the effectiveness of the proposed model. Experimental results show that the modified model improves detection accuracy by approximately 7% compared to the original YOLOv8n, reduces the parameter count from 3.01 million to 1.73 million. This significantly enhances detection accuracy while substantially reducing the model's size. The improved YOLOv8n model not only demonstrates superior detection performance but also effectively reduces model complexity and resource consumption. This research lays a solid foundation for future applications of AI-driven automated scoring systems in experimental environments and provides a new direction for end-to-end industrial deployment. © 2024 IEEE.

关键词： Complex networks

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High-throughput screening of high energy density LiMn_(1-x)Fe_(x)PO_(4)via active learning

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Chinese Chemical Letters 2025年第2期36卷 476-480页

作者： Qingyun Hu Wei Wang Junyuan Lu He Zhu Qi Liu Yang Ren Hong Wang Jian Hui School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Zhang Jiang Institute for Advanced Study Shanghai Jiao Tong UniversityShanghai 201210China Department of Physics City University of Hong KongHong Kong 999077China Herbert Gleiter Institute of Nanoscience School of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China Shenzhen Research Institute City University of Hong KongShenzhen 518057China

Lithium-ion batteries(LiBs)with high energy density have gained significant popularity in smart grids and portable ***_(1-x)Fe_(x)PO_(4)(LMFP)is considered a leading candidate for the cathode,with the potential to combine the low cost of Li Fe PO_(4)(LFP)with the high theoretical energy density of LiMnPO_(4)(LMP).However,quantitative investigation of the intricate coupling between the Fe/Mn ratio and the resulting energy density is challenging due to the parametric *** is crucial to develop a universal approach for the rapid construction of multi-parameter *** this work,we propose an active learning-guided high-throughput workflow for quantitatively predicting the Fe/Mn ratio and the energy density mapping of *** optimal composition(LiMn_(0.66)Fe_(0.34)PO_(4))was effectively screened from 81 cathode materials via only 5 ***-guided electrochemical analysis revealed a nonlinear relationship between the Fe/Mn ratio and electrochemical properties,including ion mobility and impedance,elucidating the quantitative chemical composition-energy density map of *** results demonstrated the efficacy of the method in high-throughput screening of LiBs cathode materials.

关键词： High-throughput screening Machine learning Cathode material Performance optimization Quantitative map

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Tensorial Evolutionary Computation for Spatial Optimization Problems

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第1期5卷 154-166页

作者： Si-Chao, Lei Xiaolin, Xiao Yue-Jiao, Gong Yun, Li Jun, Zhang the School of Computer Science and Engineering South China University of Technology Guangzhou510006 China the Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen610056 China the School of Computer Science South China Normal University Guangzhou510006 China the Department of Electrical and Electronic Engineering Hanyang University Seoul15588 Korea Republic of

—Spatial optimization problems (SOPs) refer to a class of problems where the decision variables require spatial organization. Existing methods based on evolutionary algorithms (EAs) fit conventional evolutionary operators by flattening the spatial representations of SOPs to one dimension, which hence loses crucial spatial structures of the potential solutions. To address this issue, this article proposes a tensorial evolutionary algorithm (TEA) by formulating a tensor space of the SOPs, where the population of candidate solutions is represented as a third-order tensor. Accordingly, we design a tensor-product crossover operator and a two-phase mutation consisting of a local convolutional mutation operator and a global Gaussian mutation operator in the tensor space. These operators are all implemented based on tensor operations. Under the consideration of spatial context on individual solutions, we devise three types of evolutionary tensors, namely, the crossover tensor, the convolutional mutant tensor, and the Gaussian mutant tensor for the three tensorial evolutionary operators correspondingly. The resultant TEA is tested using two typical real-world SOPs, namely, the facility layout problem and the image steganography problem. Comparative experimental studies validate the effectiveness and robustness of TEA. © 2024 IEEE.

关键词： Evolutionary algorithms

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Simultaneously improving mechanical properties and oxidation resistance of Ti-bearing high-entropy superalloys at intermediate temperature via silicon addition

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Journal of Materials science & Technology 2023年第26期157卷 30-41页

作者： Shaofei Liu Weicheng Xiao Bo Xiao Jiang Ju Yinghao Zhou Yilu Zhao Zengbao Jiao Junhua Luan Qian Li Jinxiong Hou Ji-jung Kai Tao Yang Department of Mechanical Engineering City University of Hong KongHong Kong 999077China Center for Advanced Nuclear Safety and Sustainable Development City University of Hong KongHong Kong 999077China Department of Materials Science and Engineering City University of Hong KongHong Kong 999077China School of Materials Science and Engineering Harbin Institute of TechnologyShenzhen 518055China Department of Mechanical Engineering The Hong Kong Polytechnic UniversityHong Kong 999077China Hong Kong Institute for Advanced Study City University of Hong KongHong Kong 999077China

Ti-bearing high-entropy superalloys(HESAs)often suffer from severe intergranular embrittlement and terrible oxidation degradation at intermediate *** we showcase that minor Si addition can effectively mitigate the intergranular embrittlement and improve the oxidation resistance of the a(Ni_(2)Co_(2)FeCr)_(92) Ti_(4)Al_(4) HESA at 700℃ *** analysis revealed that the intergranu-lar G phase induced by 2 at%Si addition can effectively suppress the inward diffusion of oxygen along grain boundaries at 700℃,thus enhancing the tensile ductility of the alloy from∼8.3%to∼13.4%.Be-sides,the 2 at%Si addition facilitated the formation of a continuous Al_(2)O_(3) layer during oxidation,con-tributing to a remarkable reduction in the growth rate of the oxide scale to a quarter of the Si-free *** results demonstrate that Si can be a favorable alloying element to design advanced HESAs with syn-ergistically improved thermal-mechanical performance.

关键词： High-entropy superalloy Mechanical property Oxidation behavior Intermediate temperature Silicon addition

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Experimental Investigations of Quasi-Coherent Micro-Instabilities in J-TEXT Ohmic Plasmas

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Chinese Physics Letters 2024年第5期41卷 47-52页

作者：石鹏庄革程芝峰高丽周乙楠刘永罗景庭李景春 Institute of Plasma Physics Chinese Academy of SciencesHefei 230031China International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and TechnologySchool of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China Department of Engineering and Applied Physics School of Physical Sciences University of Science and Technology of ChinaHefei 230026China Shenzhen Key Laboratory of Nuclear and Radiation Safety Institute for Advanced Study in Nuclear Energy&SafetyCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 510640China

Quasi-coherent micro-instabilities is one of the key topics of magnetic confinement fusion. This work focuses on the quasi-coherent spectra of ion temperature gradient(ITG) and trapped-electron-mode instabilities using newly developed far-forward collective scattering measurements within ohmic plasmas in the J-TEXT *** ITG mode is characterized by frequencies ranging from 30 to 100 k Hz and wavenumbers(k_(θρs)) less than 0.3. Beyond a critical plasma density threshold, the ITG mode undergoes a bifurcation, which is marked by a reduction in frequency and an enhancement in amplitude. Concurrently, enhancements in ion energy loss and degradation in confinement are observed. This ground-breaking discovery represents the first instance of direct experimental evidence that establishes a clear link between ITG instability and ion thermal transport.

关键词： ITG mode collective

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Retiming dynamics of harmonically mode-locked laser solitons in a self-driven optomechanical lattice

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Light(science & Applications) 2025年第3期14卷 703-712页

作者： Xiaocong Wang Benhai Wang Wenbin He Xintong Zhang Qi Huang Zhiyuan Huang Xin Jiang Meng Pang Philip.St.J.RusseII Department of Optics and Optical Engineering University of Science andTechnology of ChinaHefei 230026China Russell Centre for AdvancedLightwave Science Shanghai Institute of Optics and Fine Mechanics and Hangzhou Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghai 201800China State Key Laboratory of High Field Laser Physics and CAS Center for Excellence in Ultra-intense Laser Science Shanghai Institute of Optics and Fine Mechanics CASShanghai 201800China Hangzhou Institute for Advanced Study University of Chinese Academy of SciencesHangzhou310024China

Harmonic mode-locking,realized actively or passively,is an effective technique for increasing the repetition rate of ultrafast *** is critically important to understand how a harmonically mode-locked pulse train responds to external perturbations and noise,so as to make sure that it is stable and resistant to ***,in a series of carefully designed experiments,we elucidate the retiming dynamics of laser pulses generated in a soliton fiber laser harmonically modelocked at GHz frequencies to the acoustic resonance in a photonic crystal fiber(PCF)*** characterize the selfdriven optomechanical lattice,which is distributed along the PCF and provides the structure that supports harmonic mode-locking,using a homodyne *** reveal that,after an abrupt perturbation,each soliton in the lattice undergoes damped oscillatory retiming within its trapping potential,while the retiming is strongly coupled to soliton *** addition,we show,through statistical analysis of the intra-cavity pulse spacing,how the trapping potentials are effective for suppressing timing *** measurements and the theory developed in this work lay the groundwork for studies of the general stability and noise performance of harmonically mode-locked lasers as well as providing valuable insight into generic multi-pulse phenomena in mode-locked lasers.

关键词： increasing repetition rate harmonically mode locked laser solitons self driven optomechanical lattice retiming dynamics laser pulses soliton fiber laser harmonically modelocked ultrafast lasersit ghz frequencies

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MOF-mediated synthesis of novel PtFeCoNiMn high-entropy nanoalloy as bifunctional oxygen electrocatalysts for zinc-air battery

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Nano Research 2024年第6期17卷 5288-5297页

作者： Mingkuan Xie Xin Xiao Duojie Wu Cheng Zhen Chunsheng Wu Wenjuan Wang Hao Nian Fayan Li Meng Danny Gu Qiang Xu Shenzhen Key Laboratory of Micro/Nano-Porous Functional Materials(SKLPM) Shenzhen 518055China Department of Chemistry Southern University of Science and TechnologyShenzhen 518055China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China SUSTech-Kyoto University Advanced Energy Materials Joint Innovation Laboratory(SKAEM-JIL) Shenzhen 518055China Key University Laboratory of Highly Efficient Utilization of Solar Energy and Sustainable Development of Guangdong Southern University of Science and TechnologyShenzhen 518055China Eastern Institute for Advanced Study Eastern Institute of TechnologyNingbo 315200China

High-entropy alloy(HEA)-based materials are expected to be promising oxygen electrocatalysts due to their exceptional *** electronic structure regulation of HEAs plays a pivotal role in enhancing their elctrocatalytic ***,PtFeCoNiMn nanoparticles(NPs)with subtle lattice distortions are constructed on metal-organic framework-derived nitrogen-doped carbon by an ultra-rapid Joule heating *** to the modulated electronic structure and the inherent cocktail effect of HEAs,the as-synthesized PtFeCoNiMn/NC exhibits superior bifunctional electrocatalytic performance with a positive half-wave potential of 0.863 V *** hydrogen electrode(RHE)for oxygen reduction reaction and a low overpotential of 357 mV at 10 mA·cm^(-2)for oxygen evolution *** assembled quasi-solid-state zinc-air battery using PtFeCoNiMn/NC as air electrode shows a high peak power density of 192.16 mW·cm^(-2),low charge−discharge voltage gap,and excellent durability over 500 cycles at 5 mA·cm^(-2).This work demonstrates an effective route for rational design of bifunctional nanostructured HEA electrocatalysts with favorable electronic structures,and opens up a fascinating directions for energy storage and conversion,and beyond.

关键词： oxygen reduction reaction oxygen evolution reaction high-entropy nano-alloy zinc-air battery

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Multi-omics in nanoplastic research:a spotlight on aquatic life

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Frontiers of Environmental science & engineering 2024年第11期18卷 21-38页

作者： Mohamed Helal Min Liu Honghong Chen Mingliang Fang Wenhui Qiu Frank Kjeldsen Knut Erik Tollefsen Vengatesen Thiyagarajan Henrik Holbech Elvis Genbo Xu Department of Biology University of Southern DenmarkOdense 5230Denmark National Institute of Oceanography and Fisheries(NIOF) Cairo 11865Egypt School of Civil and Environmental Engineering Nanyang Technological UniversitySingapore 639798Singapore Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Eastern Institute for Advanced Study Eastern Institute of TechnologyNingbo 315200China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Environmental Science and Engineering Fudan UniversityShanghai 200433China Department of Biochemistry and Molecular Biology University of Southern DenmarkOdense M 5230Denmark Norwegian Institute for Water Research(NIVA) Oslo N-0579Norway Norwegian University of Life Sciences(NMBU) Ås N-1432Norway The Swire Institute of Marine Sciences School of Biological SciencesThe University of Hong KongHong Kong 999077China

Amidst increasing concerns about plastic pollution’s impacts on ecology and health,nanoplastics are gaining global recognition as emerging environmental *** review aimed to examine the complex molecular consequences and underlying fundamental toxicity mechanisms reported from the exposure of diverse aquatic organisms to *** the comprehensive examination of transcriptomics,proteomics,and metabolomics studies,we explored the intricate toxicodynamics of nanoplastics in aquatic *** review raised essential questions about the consistency of findings across different omics approaches,the value of combining these omics tools to understand better and predict ecotoxicity,and the potential differences in molecular responses between *** amalgamating insights from 37 omics studies(transcriptome 22,proteome six,and metabolome nine)published from 2013 to 2023,the review uncovered both shared and distinct toxic effects and mechanisms in which nanoplastics can affect aquatic life,and recommendations were provided for advancing omics-based research on nanoplastic *** comprehensive review illuminates the nuanced connections between nanoplastic exposure and aquatic ecosystems,offering crucial insights into the complex mechanisms that may drive toxicity in aquatic environments.

关键词： Ecotoxicity Transcriptomics Metabolomics Proteomics Plastic pollution Toxicity mechanisms

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Sustainable development of unconventional resources: Analysis of the transient linear flow oriented straight-line analysis technique

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Energy Reviews 2024年第1期3卷 49-75页

作者： Dan Xue Liangliang Jiang Zixiang Wei Maojie Chai Jiang Liu Peng Deng Fuhe Lin Jian Li Jiansheng Zhang Zhangxing Chen Department of Chemical and Petroleum Engineering University of CalgaryCalgaryAlbertaCanada Guangdong University of Petrochemical and Technology MaomingChina School of Mathematics and Data Science Shaanxi University of Science and TechnologyXi'anChina Department of Energy and Power Engineering Tsinghua UniversityBeijingChina Eastern Institute for Advanced Study NingboChina China University of Petroleum(Beijing) BeijingChina

On the backdrop of dwindling conventional reserves,unconventional reservoirs have emerged as a pivotal chapter in resource *** their challenges,such as low permeability,complex fluid storage,and flow mechanisms,hydraulic fracturing technology has underpinned the development of unconventional ***,this has brought about a shift in the sequence of flow regimes,e.g.,the transient radial flow regime has been largely shortened by the lengthy transient linear flow regime due to the low permeability of unconventional ***,straight-line analysis(SLA),the simplest technique in rate transient analysis(RTA),is a fundamental and potent tool for swiftly extracting reservoir and hydraulic fracture information,estimating oil and gas reserves,and furnishing crucial initial data for subsequent historical matching ***,there is currently a dearth of review papers pertaining to a necessary guide of applying SLA in various transient linear flow(TLF)regimes and different unconventional ***,this paper commences by elucidating the classification of TLF regimes,commonly used methods for recognizing flow regimes,and the diverse SLA methods used for different TLF ***,it delves into a discussion of different modification techniques for variable rate/flowing pressure,gas phase,complex reservoir characteristics in unconventional reservoirs,and dynamic drainage area concepts ***,the application of SLA in specific domains,namely core analysis and the flowback period,is *** culminates by surveying the advancements through an integration of novel technologies to enhance estimation *** paper also highlights certain drawbacks of current SLA technology and proposes new research ***,this paper would serve as an indispensable resource,offering foundational knowledge for the application of SLA in TLF to promote the production of global unconventional resources in a c

关键词： Unconventional reservoirs Straight-line analysis(SLA) Transient linear flow(TLF) Oil/gas reserves Hydraulic fracture information

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Se-substituted pentamethine cyanine for anticancer photodynamic therapy mediated using the hot band absorption process

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Chinese Chemical Letters 2024年第12期35卷 382-387页

作者： Wenkai Liu Yanxian Hou Weijian Liu Ran Wang Shan He Xiang Xia Chengyuan Lv Hua Gu Qichao Yao Qingze Pan Zehou Su Danhong Zhou Wen Sun Jiangli Fan Xiaojun Peng State Key Laboratory of Fine Chemicals Frontiers Science Center for Smart Materials Oriented Chemical EngineeringDalian University of TechnologyDalian 116024China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 264006China Department of Chemistry Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction and Institute for Advanced StudyThe Hong Kong University of Science and TechnologyHong Kong 999077China

Photodynamic therapy(PDT)is a promising cancer treatment modality owing to its high spatiotempora selectivity and noninvasive ***,conventional photosensitizers(PSs)used in PDT are respon sive only to visible light,which makes them unsuitable for tissue *** this study,we propose a PS based on hot band absorption(HBA),which can be triggered by anti-Stokes light at 808 nm via a one-photon *** introduction of selenium(Se)into pentamethine cyanine(Secy5)not only facili tates intersystem crossing for reactive oxygen species(ROS)production but also enhances HBA efficiency thereby prolonging the excitation *** addition,Secy5 demonstrates excellent biocompatibility unlike its I-substituted counterpart(Icy5),and produces not only^(1)O_(2)but also O_(2)^(·-),making it a desirable candidate for treating hypoxic solid *** to the results of in vivo and in vitro experiments Secy5 can efficiently inhibit cancer cell growth via anti-Stokes activation processes,thereby providing a novel approach to design anti-Stokes excitation PSs for anticancer treatment.

关键词： Cyanine dyes Hot band absorption Anti-Stokes Photodynamic therapy Anticancer treatment

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