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Synergistic solvent extraction system of bis(pyridin-2-ylmethyl)dodecan-1-amine and dinonylnaphthalene for enhanced selective extraction of nickel and cobalt

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Chinese Journal of Chemical engineering 2025年第1期77卷 10-18页

作者： Bharat Prasad Sharma Tianzhang Wang Yufeng Liang Jinping Xiong Liangrong Yang Zheng Li Beijing Key Laboratory of Electrochemical Process and Technology of Materials Beijing University of Chemical TechnologyBeijing 100029China State Key Laboratory of Biochemical Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemistry and Chemical Engineering Shandong UniversityJinan 250100China School of Chemical Engineering University of Chinese Academy of SciencesBeijing 101408China CAS Key Laboratory of Green Process and Engineering Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Key Laboratory of Green and High-end Utilization of Salt Lake Resources Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China

Simultaneous recovery of Ni and Co from Fe(Ⅲ)and AI is a critical challenge in hydrometallurgical *** solvent extraction systems often struggle with selectivity and effective performance in mixed metal ion ***,a new synergistic solvent extraction(SSX)system comprised of a novel pyridine analog,N,N-bis(pyridin-2-ylmethyl)dodecan-1-amine(BPMDA),and dinonylnaphthalene sulfonic acid(DNNSA)with tributyl phosphate as phase modifier is *** SSX system demonstrates high extraction performance achieving>90%for Ni and>97%for Co in a singlestage extraction process,with high *** optimal conditions,the selectivity sequence is observed as Co^(2+)(>97%)>Ni^(2+)(>90%)>Mn^(2+)(<20%)>Fe^(3+)(<10%)>Mg^(2+)(<5%)>Al^(3+)(<2%)>Ca^(2+)(<1%).Spectroscopic analysis evidences the preferential binding of BPMDA with Ni and Co in the presence of DNNSA,concurrently achieving a significant reduction in the co-extraction of Fe(Ⅲ)and *** selective complexation of Ni and Co using the SSX system offers a highly efficient and selective approach for their extraction,with promising potential for applications in recovery-based processes.

关键词： Nickel and cobalt extraction Synergistic solvent extraction DNNSA Pyridine Hydrometallurgy

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Enzyme-like adaptive Fe-oxo-Co motifs boost oxygen reduction reaction for efficient Zn-air batteries

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Nano Research 2025年第4期18卷 134-143页

作者： Tian Xia Jiawei Wan Xu Zhou Yilei He Fengmei Su Bifa Ji Yongping Zheng Dan Wang Ranbo Yu Department of Physical Chemistry School of Metallurgical and Ecological EngineeringUniversity of Science and Technology BeijingBeijing 100083China Key Laboratory of Biopharmaceutical Preparation and Delivery Institute of Process Engineering Chinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Advanced Energy Storage Technology Research Center Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055China College of Chemistry and Environment Engineering Shenzhen UniversityShenzhen 518060China

Enzyme-like metal atomic site catalysts are promising alternatives of platinum group metals for oxygen reduction reaction(ORR)in fuel cell *** local coordination structure at metal atomic sites plays a dominant role in optimizing the adsorption/desorption of oxygen intermediates to enhance ORR,but there is still a significant challenge in ***,we report a type of stable and dynamically adjustable mono-oxygen-bridged asymmetric dual-atomic metal catalyst,in which the active Fe-oxo-Co motif demonstrates platinium-like ORR activity with a half-wave potential of 0.92 V *** in alkaline condition and a maximum power density of 228 mW·cm^(-2) in Zn-air *** calculations reveal that the Fe-oxo ligands can act as electron regulators for neighboring Co sites,which optimize and promote the d-orbitals of Co metal shift towards lower energy levels,thereby weakening the adsorption of oxygen species,facilitating the progress of the *** interestingly,the Fe-oxo-Co bond will dynamically change its strength to adaptively facilitate the intermediate steps during the ORR *** design strategy towards enzyme-like adaptive behavior of active Fe-oxo-Co motifs brings significant hope for achieveing high performance fuel cell cathode materials.

关键词： adaptive oxygen reduction reaction dual atomic site Zn-air battery

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Structural Design and Control of Snakelike Soft Magnetorheological Fluid Robot

Structural Design and Control of Snakelike Soft Magnetorheol...

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2024 International Conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Li, Lin Qi, Lizhe Sun, Yunquan Academy for Engineering & Technology Fudan University China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Rigid robots have made significant progress in design, manufacturing, and control. In contrast, soft robots, based on flexible materials, exhibit robust environmental adaptability, excellent biological interaction capability, and outstanding safety advantages. In the field of soft robotics, magnetic actuation technology demonstrates outstanding overall performance, featuring fast response, programmability, remote controllability, and powerful driving force. Currently, magnetic control in soft robots primarily focuses on the study of magnetic elastomers. Despite possessing a certain load-bearing capacity, there is room for improvement in deformation capabilities, i.e., environmental adaptability. Magnetorheological fluid (MRF), as a novel smart material, exhibits Newtonian fluid characteristics in the absence of magnetic field and Bingham body characteristics when subjected to a magnetic field. Soft robots employing this unique property of MRF hold potential applications in biomedical and flexible interaction fields. The study presents the design of an innovative soft robotic system centered around magnetorheological fluid as the principal smart material. A control system has been engineered to align with the specific operational environments of the robot, and a tangible experimental platform has been established to facilitate testing and validation. © 2025 SPIE.

关键词： Magnetorheological fluids

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Review of bumper materials for spacecraft shield against orbital debris hypervelocity impact

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Defence technology(防务技术) 2025年第3期45卷 137-177页

作者： Siyuan Ren Pinliang Zhang Qiang Wu Qingming Zhang Zizheng Gong Guangming Song Renrong Long Liangfei Gong Mingze Wu Beijing Institute of Spacecraft Environment Engineering China Academy of Space TechnologyBeijing100094China State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing100081China School of Civil Engineering Chongqing Jiaotong UniversityChongqing400074China

It is widely known that the hypervelocity impact of orbital debris can cause serious damage to spacecraft,and enhancing the impact resistance is the great concern of spacecraft shield *** paper provides a comprehensive overview of advances in the development of bumper materials for spacecraft shield *** particular,the protective mechanism and process of the bumper using different materials against hypervelocity impact are reviewed and *** advantages and disadvantages of each material used in shield were discussed,and the performance under hypervelocity impact was given according to the specific *** review provides the useful reference and basis for researchers and engineers to create bumper materials for spacecraft shield applications,and the contemporary challenges and future directions for bumper materials for spacecraft shield were presented.

关键词： Orbital debris Spacecraft shield Hypervelocity impact Bumper materials Protective mechanism

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A Diffusion Model for Traffic Data Imputation

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 606-617页

作者： Bo Lu Qinghai Miao Yahui Liu Tariku Sinshaw Tamir Hongxia Zhao Xiqiao Zhang Yisheng Lv Fei-Yue Wang the School of Artificial Intelligence University of Chinese Academy of Sciences Baidu Inc. IEEE the State Key Laboratory for Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Meituan Guangdong University of Technology the Department of Transportation Engineering School of Transportation Science and Technology Harbin Institute of Technology

Imputation of missing data has long been an important topic and an essential application for intelligent transportation systems(ITS) in the real world. As a state-of-the-art generative model, the diffusion model has proven highly successful in image generation, speech generation, time series modelling *** now opens a new avenue for traffic data imputation. In this paper, we propose a conditional diffusion model, called the implicit-explicit diffusion model, for traffic data imputation. This model exploits both the implicit and explicit feature of the data simultaneously. More specifically, we design two types of feature extraction modules, one to capture the implicit dependencies hidden in the raw data at multiple time scales and the other to obtain the long-term temporal dependencies of the time series. This approach not only inherits the advantages of the diffusion model for estimating missing data, but also takes into account the multiscale correlation inherent in traffic data. To illustrate the performance of the model, extensive experiments are conducted on three real-world time series datasets using different missing *** experimental results demonstrate that the model improves imputation accuracy and generalization capability.

关键词： Data imputation diffusion model implicit feature time series traffic data

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Designing polymer composite electrolyte and Si nanosheets electrode for integrated silicon-based solid-state battery

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Nano Research 2025年第3期18卷 263-274页

作者： Xianzheng Liu Xintong Wang Feng Li Huaying Qiao Lihua Jiang Zhiyuan Wan Zhigang Wei Xiaoming Liu Academy of Mechanical Engineering Shandong Huayu University of TechnologyDezhou 253034China School of Materials Science and Engineering Shandong University of TechnologyZibo 255000China Scientific Research Office Yantai Nanshan UniversityYantai 265713China

Silicon-based solid-state lithium batteries(Si-SSLBs)are of great interest due to their extremely high safety and energy ***,the low ionic conductivity of solid electrolytes hinders their use in batteries,the volume expansion of the Si anode during Li+insertion/extraction,and the high interfacial resistance between the solid electrolyte and *** this study,a composite solid electrolyte(CSE)with excellent ionic conductivity(1.20×10^(−4) S·cm^(−1))at 60℃ was developed by introducing the plasticizer succinonitrile(SN)and the inorganic solid electrolyte Li_(1.3)Al_(0.3)Ti_(1.7)(PO_(4))_(3)(LATP)into poly(vinylidene fluoride)-hexafluoropropylene(PVDF-HFP)matrix.A three-dimensional(3D)face-contact Si/PVHS-L/LFP(PVHS-L:PVDF-HFP/SN/LATP and LFP:LiFePO_(4))solid-state battery model was constructed by a secondary coating process based on the use of *** approach forms a fully integrated electrode-electrolyte interface,enhancing Li+transport efficiency compared to conventional mechanically assembled *** integrated device achieves maximum interfacial contact,resulting in superior electrochemical ***,the battery integrated with Si anode,PVHS-L CSE and LFP cathode delivers a discharge specific capacity of 122.6 mAh·g^(−1) after 100 cycles,with a capacity retention rate of 81.5%.This work provides a new strategy to address the challenge of achieving stable and continuous interfacial contact in Si-SSLBs.

关键词： silicon anode solid batteries solid electrolyte interface integrated electrode

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Multi-parameter ultrasound imaging for musculoskeletal tissues based on a physics informed generative adversarial network

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Chinese Physics B 2025年第4期34卷 442-455页

作者： Pengxin Wang Heyu Ma Tianyu Liu Chengcheng Liu Dan Li Dean Ta Institute of Biomedical Engineering&Technology Academy for Engineering and TechnologyFudan UniversityShanghai 200433China State Key Laboratory of Integrated Chips and Systems Fudan UniversityShanghai 201203China Department of Electronic Engineering School of Information Science and TechnologyFudan UniversityShanghai 200438China Department of Biomedical Engineering School of Information Science and TechnologyFudan UniversityShanghai 200438China

Full waveform inversion(FWI)has showed great potential in the detection of musculoskeletal ***,FWI is an ill-posed inverse problem and has a high requirement on the initial model during the imaging *** inaccurate initial model may lead to local minima in the inversion and unexpected imaging results caused by cycle-skipping *** learning methods have been applied in musculoskeletal imaging,but need a large amount of data for *** by work related to generative adversarial networks with physical informed constrain,we proposed a method named as bone ultrasound imaging with physics informed generative adversarial network(BUIPIGAN)to achieve unsupervised multi-parameter imaging for musculoskeletal tissues,focusing on speed of sound(SOS)and *** the in-silico experiments using a ring array transducer,conventional FWI methods and BUIPIGAN were employed for multiparameter imaging of two musculoskeletal tissue *** results were evaluated based on visual appearance,structural similarity index measure(SSIM),signal-to-noise ratio(SNR),and relative error(RE).For SOS imaging of the tibia–fibula model,the proposed BUIPIGAN achieved accurate SOS imaging with best *** specific quantitative metrics for SOS imaging were SSIM 0.9573,SNR 28.70 dB,and RE 5.78%.For the multi-parameter imaging of the tibia–fibula and human forearm,the BUIPIGAN successfully reconstructed SOS and density distributions with SSIM above 94%,SNR above 21 dB,and RE below 10%.The BUIPIGAN also showed robustness across various noise levels(i.e.,30 dB,10 dB).The results demonstrated that the proposed BUIPIGAN can achieve high-accuracy SOS and density imaging,proving its potential for applications in musculoskeletal ultrasound imaging.

关键词： ultrasound image physics informed generative adversarial network musculoskeletal imaging

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Event-Triggered Robust Parallel Optimal Consensus Control for Multiagent Systems

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 40-53页

作者： Qinglai Wei Shanshan Jiao Qi Dong Fei-Yue Wang IEEE the Institute of Systems Engineering Macau University of Science and Technology the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences the School of Artificial Intelligence University of Chinese Academy of Sciences China Academy of Electronics and Information Technology the State Key Laboratory of Multimodal Artificial Intelligence Systems the School of Artificial Intelligence University of Chinese Academy of Sciences

This paper highlights the utilization of parallel control and adaptive dynamic programming(ADP) for event-triggered robust parallel optimal consensus control(ETRPOC) of uncertain nonlinear continuous-time multiagent systems(MASs).First, the parallel control system, which consists of a virtual control variable and a specific auxiliary variable obtained from the coupled Hamiltonian, allows general systems to be transformed into affine systems. Of interest is the fact that the parallel control technique's introduction provides an unprecedented perspective on eliminating the negative effects of disturbance. Then, an eventtriggered mechanism is adopted to save communication resources while ensuring the system's stability. The coupled HamiltonJacobi(HJ) equation's solution is approximated using a critic neural network(NN), whose weights are updated in response to events. Furthermore, theoretical analysis reveals that the weight estimation error is uniformly ultimately bounded(UUB). Finally,numerical simulations demonstrate the effectiveness of the developed ETRPOC method.

关键词： Adaptive dynamic programming (ADP) critic neural network (NN) event-triggered control optimal consensus control robust control

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Numerical design of transverse gradient coil with transformed magnetic gradient field over an effective imaging area

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Magnetic Resonance Letters 2025年第1期5卷 40-51页

作者： Chaoqun Niu Hongyi Qu College of Information and Communication Engineering Faculty of Information TechnologyBeijing University of TechnologyBeijing100124China Institute of Electrical Engineering Chinese Academy of SciencesBeijing100190China

Gradient coil is an essential component of a magnetic resonance imaging(MRI)*** achieve high spatial resolution and imaging speed,a high-efficiency gradient coil with high slew rate is *** consideration of the safety and comfort of the patient,the mechanical stability,acoustic noise and peripheral nerve stimulation(PNS)are also need to be concerned for practical *** our previous work,a high-efficiency whole-body gradient coil set with a hybrid cylindrical-planar structure has been presented,which offers significantly improved coil *** this work,we propose to design this transverse gradient coil system with transformed magnetic gradient *** shifting up the zero point of gradient fields,the designed new Y-gradient coil could provide enhanced electromagnetic *** more uniform coil winding arrangement,the net torque of the new coil is significantly reduced and the generated sound pressure level(SPL)is lower at most tested frequency *** the other hand,the new transverse gradient coil designed with rotated magnetic gradient fields produces considerably reduced electric field in the human body,which is important for the use of rapid MR ***'s demonstrated that a safer and patient-friendly design could be obtained by using transformed magnetic gradient fields,which is critical for practical use.

关键词： Magnetic resonance imaging(MRI) Gradient coil Transformed magnetic gradient field Acoustic noise Induced electric field

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Cathodic corrosion as a facile and universal method for scalable preparation of dual-atom electrocatalysts

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Nano Research 2025年第4期18卷 70-77页

作者： Rui Li Tao Shao Fudong Jiang Dong Chen Wenyong Jing Jingwen Ba Yulong Li Yuhan Wu Wenhua Luo Jingsong Xu Institute of Materials China Academy of Engineering PhysicsMianyang 621907China Science and Technology on Surface Physics and Chemistry Laboratory Mianyang 621908China

Dual-atom catalysts(DACs)are emerging as highly efficient electrocatalysts,offering synergistic effects and high atomic ***,we introduce a scalable and facile electrochemical approach for the top-down synthesis of DACs supported on carbon materials via a two-time“plasma treatment+cathodic corrosion”***,metal atoms in nanoparticles on cathode are etched under high negative potential,diffused over the electrode,captured by N doped carbon carriers in electrolyte and forming single-atom *** introducing additional N coordination sites adjacent to the primary metal single-atom sites via a secondary plasma processing and anchoring a second metal atom via a subsequent cathodic corrosion process,DACs are *** as-prepared Pt DACs exhibit enhanced catalytic activity toward hydrogen evolution reaction(HER)with a low overpotential of 0.027 V at 10 mA·cm^(-2) and a Tafel slope of 29.9 mV·dec^(-1) as well as high ***,the proposed electrochemical top-down synthetic route affords promising potential for scalable production of other homonuclear or heteronuclear DACs on multiple carbon substrates,advancing the practical application of DACs in electrocatalysis.

关键词： dual-atom catalysts cathodic corrosion top-down strategy scalable synthesis hydrogen evolution reaction

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