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Targets capture by distributed active swarms via bio-inspired reinforcement learning

Science china(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 210-221页

作者： Kun Xu yue Li Jun sun Shuyuan Du Xinpeng Di Yuguang Yang Bo Li Institute of Biomechanics and Medical Engineering Applied Mechanics Laboratory Department of Engineering MechanicsTsinghua University Institute of Nuclear and New Energy Technology Tsinghua University Shanghai Aerospace control Technology Institute Shanghai Key Laboratory of Aerospace Intelligent control Technology college of Automation Engineering Nanjing University of Aeronautics and Astronautics

Natural swarms arranged from cells to herds are usually decentralized but display intriguing collective intelligence in coordinating individuals across large scales to efficiently achieve their common goals. Learning from nature may provide new strategies for controlling collective dynamics of synthetic swarms to accomplish specific functions. Here, we present a bioinspired computational framework that steers distributed active swarms to collectively capture and merge targets via reinforcement learning. We exploit collective milling structures of natural herds to cage the targets, and adopt a switching control policy inspired by sperms' chiral dynamics to optimize the trajectories of individuals, through which the active swarms can selforganize to enclose single or multiple distant targets in a dynamical, adaptive and scalable manner. There exists a critical swarm size, beyond which the excessive competition between agents would generate large mechanical forces, leading to capture instability but enabling the transition from short-distance to long-distance merging capture of multiple targets. This work provides physical insights into distributed active swarms and could offer a multilevel, decentralized strategy toward controlling swarm robotics in wide applications such as bio-medical devices, machine immunity, and target clearance.

关键词： swarm intelligence robotics multi-tasks artificial intelligence bionics

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Joint Feature Encoding and Task Alignment Mechanism for Emotion-cause Pair Extraction

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computers, Materials & continua 2025年第1期82卷 1069-1086页

作者： Shi Li Didi sun college of computer and control Engineering Northeast Forestry UniversityHarbin150040China

With the rapid expansion of social media,analyzing emotions and their causes in texts has gained significant ***-cause pair extraction enables the identification of causal relationships between emotions and their triggers within a text,facilitating a deeper understanding of expressed sentiments and their underlying *** comprehension is crucial for making informed strategic decisions in various business and societal ***,recent research approaches employing multi-task learning frameworks for modeling often face challenges such as the inability to simultaneouslymodel extracted features and their interactions,or inconsistencies in label prediction between emotion-cause pair extraction and independent assistant tasks like emotion and cause *** address these issues,this study proposes an emotion-cause pair extraction methodology that incorporates joint feature encoding and task alignment *** model consists of two primary components:First,joint feature encoding simultaneously generates features for emotion-cause pairs and clauses,enhancing feature interactions between emotion clauses,cause clauses,and emotion-cause ***,the task alignment technique is applied to reduce the labeling distance between emotion-cause pair extraction and the two assistant tasks,capturing deep semantic information interactions among *** proposed method is evaluated on a chinese benchmark corpus using 10-fold cross-validation,assessing key performance metrics such as precision,recall,and F1 *** results demonstrate that the model achieves an F1 score of 76.05%,surpassing the state-of-the-art by 1.03%.The proposed model exhibits significant improvements in emotion-cause pair extraction(EcPE)and cause extraction(cE)compared to existing methods,validating its *** research introduces a novel approach based on joint feature encoding and task alignment mechanisms,contributing to advancements in emotion-c

关键词： Emotion-cause pair extraction interactive information enhancement joint feature encoding label consistency task alignment mechanisms

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Microstructure and Wear/corrosion Resistance of Stainless Steel Laser-alloyed with Mn+W_(2)c, Mn+NiWc and Mn+Sic

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 283-294页

作者： ZHOU Rui DIAO Xiaogang sun Yixin School of Metallurgical Engineering Jiangsu University of Science and TechnologyZhangjiagang 215600China cITIc Heavy cast Iron Industry co. Ltd.Luoyang 417039China

In-situ formed high Mn steel coating reinforced by carbides was formed by laser surface alloying(LSA).Laser alloyed layers on 1cr18Ni9Ti steel with Mn+W_(2)c(specimen A),Mn+NiWc(specimen B)and Mn+Sic(specimen c)powders were fabricated to improve the wear and corrosion behavior of 1cr18Ni9Ti steel blades in high speed *** evolution,phases,element distribution,microhardness,wear and corrosion behavior of the laser alloyed layers were *** indicated that high Mn steel matrix composites with undissolved W_(2)c,Wc and other in-situ formed carbides were formed by LSA with Mn+W_(2)c and Mn+NiWc while Sic totally dissolved into the high Mn matrix when adding Mn+*** as the binding phase in Ni-Wc powder decreased the crack sensitivity of the alloyed layer as compared with the addition of W_(2)c *** improvement in average microhardness was achieved in the matrix in specimen A,B and c,with the value of 615,602 and 277 HV_(0.5),while that of the substrate was 212 HV_(0.5).The increase of microhardness,wear and corrosion resistance is highly corelated to microstructure,formed phases,type and content of carbides,micro-hardness and toughness of the alloyed layers.

关键词： laser surface alloying stainless steel carbide type microstructure wear and corrosion resistance

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Dual‑Donor‑Induced crystallinity Modulation Enables 19.23% Efficiency Organic Solar cells

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Nano-Micro Letters 2025年第3期17卷 376-388页

作者： Anhai Liang Yuqing sun Sein chung Jiyeong Shin Kangbo sun chaofeng Zhu Jingjing Zhao Zhenmin Zhao Yufei Zhong Guangye Zhang Kilwon cho Zhipeng Kan center On Nanoenergy Research Institute of Science and Technology for Carbon Peak&NeutralitySchool of Physical Science&TechnologyGuangxi UniversityNanning 530004People’s Republic of China Department of chemical Engineering Pohang University of Science and TechnologyPohang 37673South Korea college of New Materials and New Energies Shenzhen Technology UniversityShenzhen 518118People’s Republic of China Zhejiang Engineering Research center for Fabrication and Application of Advanced Photovoltaic Materials School of Materials Science and EngineeringNingboTech UniversityNingbo 315100People’s Republic of China State Key Laboratory of Featured Metal Materials and Life-cycle Safety for composite Structures Nanning 530004People’s Republic of China

Trap-assisted charge recombination is one of the primary limitationsof restricting the performance of organic solar cells. However, effectivelyreducing the presence of traps in the photoactive layer remains ***, wide bandgap polymer donor PTzBI-dF is demonstrated as an effectivemodulator for enhancing the crystallinity of the bulk heterojunction active layerscomposed of D18 derivatives blended with Y6, leading to dense and orderedmolecular packings, and thus, improves photoluminescence quenching *** a result, the photovoltaic devices exhibit reduced trap-assisted charge recombinationlosses, achieving an optimized power conversion efficiency of over 19%.Besides the efficiency enhancement, the devices comprised of PTzBI-dF as athird component simultaneously attain decreased current leakage, improved chargecarrier mobilities, and suppressed bimolecular charge recombination, leading toreduced energy losses. The advanced crystalline structures induced by PTzBI-dFand its characteristics, such as well-aligned energy level, and complementaryabsorption spectra, are ascribed to the promising performance *** findings suggest that donor phase engineering is a feasible approach to tuning the molecular packings in the active layer, providingguidelines for designing effective morphology modulators for high-performance organic solar cells.

关键词： Trap-assisted charge recombination Photoluminescence Miscibility current leakage Power conversion efficiency

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Boosting bidirectional sulfur conversion enabled by introducing boron-doped atoms and phosphorus vacancies in Ni2P for lithium-sulfur batteries

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Journal of Energy chemistry 2025年第1期100卷 760-769页

作者： Lin Peng Yu Bai Hang Li Meixiu Qu Zhenhua Wang Kening sun Advanced Research Institute of Multidisciplinary Science Beijing Institute of Technology Beijing Key Laboratory of chemical Power Source and Green catalysis School of Chemistry and Chemical Engineering Beijing Institute of Technology

Lithium-sulfur （Li-S） batteries have gained great attention due to the high theoretical energy density and low cost,yet their further commercialization has been obstructed by the notorious shuttle effect and sluggish redox ***,we supply a strategy to optimize the electron structure of Ni2P by concurrently introducing B-doped atoms and P vacancies in Ni2P （Vp-B-Ni2P）,thereby enhancing the bidirectional sulfur *** study indicates that the simultaneous introduction of B-doped atoms and P vacancies in Ni2P causes the redistribution of electron around Ni atoms,bringing about the upward shift of d-band center of Ni atoms and effective d-p orbital hybridization between Ni atoms and sulfur species,thus strengthening the chemical anchoring for lithium polysulfides （LiPSs） as well as expediting the bidirectional conversion kinetics of sulfur ***,theoretical calculations reveal that the incorporation of B-doped atoms and P vacancies in Ni2P selectively promotes Li2S dissolution and nucleation ***,the Li-S batteries with Vp-B-Ni2P-separators present outstanding rate ability of 777 m A h g-1at 5 c and high areal capacity of 8.03 mA h cm-2under E/S of 5μL mg-1and sulfur loading of 7.20 mg *** work elucidates that introducing heteroatom and vacancy in metal phosphide collaboratively regulates the electron structure to accelerate bidirectional sulfur conversion.

关键词： Lithium sulfur batteries

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基于改进粒子群算法的光伏逆变器控制参数辨识

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河南理工大学学报（自然科学版） 2025年第1期44卷 124-133页

作者：罗建孙越江丽娟重庆大学输配电装备及系统安全与新技术国家重点实验室重庆400044 国网安徽省电力有限公司培训中心安徽合肥230022

精准的光伏并网逆变器模型是研究大规模光伏接入下电力系统故障特性的重要工具。目的为了解决现有光伏逆变器仿真模型与实际工作中的光伏逆变器特性相差较大的问题,方法提出采用参数辨识的方法构建逆变器的辨识模型。以重庆云阳某1 MW... 详细信息

精准的光伏并网逆变器模型是研究大规模光伏接入下电力系统故障特性的重要工具。目的为了解决现有光伏逆变器仿真模型与实际工作中的光伏逆变器特性相差较大的问题,方法提出采用参数辨识的方法构建逆变器的辨识模型。以重庆云阳某1 MW光伏电站为实际参照模型,首先根据实际工作情况将逆变器的工作区间划分为3个阶段,利用数学扰动法分别对3个阶段中的待辨识参数划分灵敏度高低等级,并由此提出不同阶段不同灵敏度参数分步辨识策略;其次,分阶段采集实际光伏电站工作数据,对该数据进行分析处理,获得各待辨识参数的初始取值范围,设计同步辨识参数实验作为参照;最后提出改进的混沌遗传粒子群优化算法(chaos genetic algorithm of particle swarm optimization,cGAPSO)作为辨识算法,分步分工作阶段辨识相关参数,通过对比参数的同步辨识结果,验证所提方法的优越性,并将辨识结果代入仿真模型。结果结果表明,低灵敏度参数的同步辨识结果误差远超过可接受范围,而cGAPSO分步辨识出的相关参数误差皆在1.1%以下,精度远高于同步辨识结果。结论基于改进粒子群算法构建的辨识模型输出数据与实际逆变器工作数据契合度高,可准确反映逆变器实际工作特性。

关键词：光伏并网逆变器逆变器控制策略参数辨识数学扰动法改进粒子群优化算法

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Fluorinated poly(p-triphenylene isatin) anion exchange membranes based on hydrophilic hydroxyl side chain modulation for fuel cells

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Journal of Energy chemistry 2025年第1期100卷 702-709页

作者： Yiman Gu Yanchao Zhang Zhanyu Li Yijia Lei Baozeng sun Xiaoyu Yu Zhe Wang college of chemistry and Life Science Changchun University of Technology college of chemical Engineering Changchun University of Technology School of Materials Science and Engineering Changchun University of Technology Key Laboratory of Advanced Functional Polymer Membrane Materials of Jilin Province

The development of alkaline fuel cells is moving forward at an accelerated pace,and the application of ether-free bonded polymers to anion exchange membranes （AEMs） has been widely ***,the question of the“trade-off”between AEM ionic conductivity and dimensional stability remains *** strategy of inducing microphase separation to improve the performance of AEM has attracted much attention recently,but the design of optimal molecular structures is still being ***,this work introduced different ratios of 3-bromo-1,1,1-trifluoroacetone （x=40,50,and 60） into the main chain of poly（p-terphenylene isatin）.Because fluorinated groups have excellent hydrophobicity,hydrophilic hydroxyl-containing side chains are introduced to jointly adjust the formation of phase separation *** results show that PTI-PTF50-NOH AEM with the appropriate fluorinated group ratio has the best ionic conductivity and alkali stability under the combined effect of *** has an ionic conductivity of 133.83 mS cm-1at 80°*** addition,the OH-conductivity remains at 89%of the initial value at 80°c and 3 M KOH for 1056 h of *** cell polarization curve based on PTI-PTF50-NOH shows a power density of 734.76 mW cm-2at a current density of 1807.7 mA cm-2.

关键词： Potassium hydroxide

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Upcycling of polyethylene terephthalate to1,4-cyclohexanedimethanol in water

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Science china chemistry 2025年

作者： Shuhui Fang Zhiwen Gao Xinrui Shi Min Zhang Wei Zhang yue Liu State Key Laboratory of Petroleum Molecular & Process Engineering Shanghai Key Laboratory of Green Chemistry and Chemical ProcessesSchool of Chemistry and Molecular Engineering East China Normal University Engineering center for Sustainable carbon Science and Technology East China Normal University Institute of Eco-chongming

The recycling of waste polyethylene terephthalate（PET）, an extensively used polymer as plastic and fiber materials, has become an urgent topic due to the rapid generation and accumulation of plastic waste into the environment. current chemical recycling approaches to depolymerize and convert PET into 1,4-cyclohexanedimethanol（cHDM）, an important chemical in the production of advanced polyesters, predominantly use organic solvents, such as alcohols or dioxane. Herein, we developed an environmentally friendly and economically viable pathway for converting PET to cHDM using water as the solvent. In this process, PET is sequentially hydrolyzed in water, hydrogenated to 1,4-cyclohexane dicarboxylic acid（cHDA）, and then reduced to cHDM. The PET conversion rate is self-enhanced in aqueous medium via acid-catalyzed hydrolysis by the generated cHDA intermediate. A Pd-based catalyst（e.g., Pd/c） selectively hydrogenates the arene ring of the PET monomer, terephthalic acid intermediate, and a Ru-Sn/c bimetallic catalyst reduces its cOOH to cH2OH group. At optimized reaction conditions, a complete conversion of PET and 80.1% yield of cHDM are obtained. Alternatively, this approach can also efficiently produce cHDA from PET, with a yield up to 86.4%.

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Physics based circuit compatible model for hybrid antiferroelectric random access memory

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Science china(Information Sciences) 2025年第1期 396-397页

作者： Qiuxia WU yue PENG Wenwu XIAO Wenxuan MA Shuo ZHANG Litao sun chunfu ZHANG Xiaohua MA yue HAO School of Microelectronics Xidian University Xi'an Uni Ic Semiconductors

Since the discovery of HfO2-based ferroelectric （FE） materials in 2011,considerable advancements have been made in material preparation,mechanism research,and device realization [1].consequently,these materials are now regarded as leading candidates for embedded non-volatile memory（eNVM）.Beyond eNVM applications,recent studies have demonstrated that memory devices with antiferroelectric（AFE） films can achieve high response speeds,low latency,and reduced power consumption while maintaining excellent endurance characteristics [2,3].Additionally,the typical double hysteresis loops and multiple non-overlapping polarization current peaks of AFE films offer a novel approach to designing multistate ***,in order to further promote the application of high storage density AFE,an AFRAM electronic design automation （EDA） model must be developed,and it has yet to be proposed.

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constructing Donor–Acceptor‑Linked cOFs Electrolytes to Regulate Electron Density and Accelerate the Li^(+)Migration in Quasi‑Solid‑State Battery

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Nano-Micro Letters 2025年第1期17卷 456-471页

作者： Genfu Zhao Hang Ma conghui Zhang Yongxin Yang Shuyuan Yu Haiye Zhu Yongjiang sun Hong Guo School of Materials and Energy International Joint Research Center for Advanced Energy Materials of Yunnan ProvinceYunnan UniversityKunming 650091People’s Republic of China Yunnan Yuntianhua co. LtdR&D CenterKunming 650228People’s Republic of China Southwest United Graduate School Kunming 650091People’s Republic of China

Regulation the electronic density of solid-state electrolyte by donor–acceptor(D–A)system can achieve highly-selective Li^(+)transportation and conduction in solid-state Li metal *** study reports a high-performance solid-state electrolyte thorough D–A-linked covalent organic frameworks(cOFs)based on intramolecular charge transfer *** other reported cOFbased solid-state electrolyte,the developed concept with D–A-linked cOFs not only achieves electronic modulation to promote highly-selective Li^(+)migration and inhibit Li dendrite,but also offers a crucial opportunity to understand the role of electronic density in solid-state Li metal *** introduced strong electronegativity F-based ligand in cOF electrolyte results in highlyselective Li^(+)(transference number 0.83),high ionic conductivity(6.7×10^(-4)S cm^(−1)),excellent cyclic ability(1000 h)in Li metal symmetric cell and high-capacity retention in Li/LiFePO_(4)cell(90.8%for 300 cycles at 5c)than substituted c-and N-based *** is ascribed to outstanding D–A interaction between donor porphyrin and acceptor F atoms,which effectively expedites electron transferring from porphyrin to F-based ligand and enhances Li^(+)***,we anticipate that this work creates insight into the strategy for accelerating Li^(+)conduction in high-performance solid-state Li metal batteries through D–A system.

关键词： Electronic modulation engineering Donor-acceptor-linked covalent organic frameworks Quasi-solid-state Li metal battery

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