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16th International Conference on Social robotics, ICSR + InnoBiz 2024

作者： Luo, Jiefu Wang, Jiansheng Liu, Zhenfei Cheng, Jun Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China University of Chinese Academy of Sciences Beijing China The Chinese University of Hong Kong Hong Kong Department of Pediatric Orthopedics Shenzhen Children’s Hospital Guangdong Shenzhen518000 China

ISBN: (纸本)9789819611508

In many industrial applications, it is necessary to obtain accurate human motion prediction. The prediction of human movement based on a 3D skeleton, which forecasts future postures using the human skeletal structure, significantly aids in enabling machines to understand human behavior and react more intelligently. Additionally, by predicting human actions, potential dangers can be perceived, especially in safety-related issues, necessitating a broader range of predictions. In this paper, considering the greater diversity generated by Variational Autoencoders (VAEs), we employ VAEs for prediction. In contrast to other studies, our primary focus is on obtaining more diverse samples. Extensive experiments demonstrate that our proposed model performs well on the Human 3.6M [35] and HumanEva-I [36] datasets. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Prediction models

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A Small Molecular Compound with Hydrogen Bonds and Multiple Active Groups for High-Performance Zinc-Ion Batteries

SSRN

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SSRN 2025年

作者： Liu, Qi Zhou, Ke Liu, Xiaocen Chen, Xiaojuan Su, Lixin Yang, Hong Yang, Baozhu Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology Advanced Catalysis Green Manufacturing Collaborative Innovation Center School of Petrochemical Engineering Changzhou University 1 Gehu Road Jiangsu Changzhou213164 China

Aqueous zinc-ion batteries (AZIBs) have garnered attention due to their low cost, abundant resources, and safety features. However, finding high-performance cathode materials for AZIBs remains a key challenge. Herein, we report the synthesis of a small molecular organic compound with hydrogen bonds and multiple active groups, hexaazatriphenylenehexacarboxy triimide (HHT). As a cathode material for AZIBs, the electrochemical performance of HHT was evaluated, demonstrating an outstanding discharge capacity of 574 mAh g-1 at 0.05 A g-1 with approximately capacity retention of 70% after 1000 cycles at 2 A g-1, and high-rate capability. The study on the electrode reaction mechanism shows that both Zn+2 and H+ ions interact with HHT. The flexible Zn//HHT aqueous battery also has superior discharge specific capacity, high cycle stability and excellent mechanical flexibility, and its maximum volume energy density can achieve 4.32 mW cm-3, showing the future application prospect in wearable electronics. © 2025, The Authors. All rights reserved.

关键词： Hydrogen bonds

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Rational design of high conductivity and robust associativity aluminum current collector based on polyaniline for lithium-ion battery

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Materials Chemistry and Physics 2025年 342卷

作者： Jia, Yongqiang Zhang, Lingling Han, Maoyi Wang, Xunjie Shang, Yuxiang Hao, Zhendong Liu, Ti Wu, Mingfang Ba, Zhixin School of Materials Science and Engineering Jiangsu University of Science and Technology Jiangsu Zhenjiang212100 China School of Materials Science and Engineering Nanjing Institute of Technology Jiangsu Nanjing211167 China Jiangsu Key Laboratory of Advanced Structural Materials and Application Technology Nanjing Institute of Technology Jiangsu Nanjing211167 China Jiangsu Dingsheng New Energy Materials Co. Ltd. China

The interfacial interaction between active electrode materials and current collectors is a cornerstone in defining the electrochemical efficacy of lithium-ion batteries. In this investigation, we have designed a high conductivity and robust associativity aluminum current collector, through integrating a novel network-crater structure into the surface of aluminum current collector by adopting a hybrid technique that combines chemical etching, with the electrochemical polymerization of conductive polyaniline (PANI) films. Of particular interest, when the electrochemical polymerization cycle is optimized to 5 (P/E-Al-5), the resultant structure exhibits augmented wettability and an extraordinary interfacial adhesive strength, with a peel value of 417.0 N/m. This augmentation is ascribed to the synergistic influence of mechanical interlocking and chemical bonding at the interface between the aluminum current collector and the LiFePO4 layers. Furthermore, the P/E-Al-5 current collector demonstrates commendable electrical conductivity, and the batteries incorporating this collector exhibit the least charge transport resistance. Consequently, the P/E-Al-5 current collector imparts enhanced electrochemical performance, distinguished by the highest rate capability and cycling stability. Impressively, at a high current rate of 5 C, the P/E-Al-5 collector manifests an average discharge capacity of 98.8 mAh g−1, a 59 % improvement over the unmodified aluminum sample (62.0 mAh g−1). Additionally, battery with the P/E-Al-5 current collector displays an elevated reversible discharge capacity, with a retention rate of 99.2 %. This study provides an inspiration for the design of high-performance aluminum current collector. © 2025

关键词： Covalent bonds

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Flexible, scalable, and bifunctional MOF-based nanofibrous membranes with gems-on-string structure for simultaneous efficient water evaporation and pollution remediation

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Chemical Engineering Journal 2025年 514卷

作者： Ge, Song Song, Jun Zhang, Jichao Yang, Xiu-Li Xie, Ming-Hua Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province Yancheng Institute of Technology Yancheng224051 China College of Textile and Clothing Yancheng Institute of Technology Yancheng224051 China Jiangsu Engineering Research Center for Digital Textile Inkjet Printing Key Laboratory of Eco-Textile Jiangnan University Ministry of Education Wuxi214122 China

Solar-driven interfacial evaporation offers a viable pathway for alleviating global water shortages. However, a significant challenge arises when the source water contains organic contaminants, as the evaporation process can lead to the enrichment and exacerbation of pollution in the remaining water. Herein, we constructed a flexible bifunctional nanofibrous membrane evaporator featuring a gems-on-string structure, designed to concurrently realize clean water production and source water purification. This was achieved through the uniform decoration of polypyrrole (PPy) nanoparticles onto silica nanofibers, followed by the tactful immobilization of zeolitic imidazolate framework (ZIF-67) polyhedrons on the fibers via a facile hot-pressing approach. The micro-nano hierarchical structure of the gems-on-string fibers enables multiple reflections between adjacent gems, significantly enhancing full-spectrum light absorption (96.3 %) and photothermal conversion. Moreover, the superhydrophilic and hierarchically interconnected channels within the membrane facilitate water transport and evaporation enthalpy diminution. Furthermore, the synergistic effects of localized heat from PPy, and photocatalysis and cobalt sites from ZIF-67 significantly promote the activation of peroxymonosulfate. As a result, the bifunctional evaporator achieves a rapid evaporation rate (2.29 kg m-2h−1) with a remarkable solar-water conversion efficiency (93.2 %) under one sun, outperforming most state-of-art evaporators, while maintaining superior oxytetracycline removal (92.5 %). Significantly, the evaporator delivers a daily freshwater output (5.3 kg m−2) when treating complex wastewater/seawater. This study not only presents an efficient strategy for fabricating flexible high-performance photothermal-catalytic membranes, but also provides a sustainable platform for freshwater production and sewage purification. © 2025 Elsevier B.V.

关键词： River pollution

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Combining decomposition and graph capsule network for multi-objective vehicle routing optimization

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Intelligent Data Analysis 2025年第1期29卷 116-140页

作者： Zhang, Haifei Ge, Hongwei Li, Ting Zhou, Lujie Su, Shuzhi Tong, Yubing School of Artificial Intelligence and Computer Science Jiangnan University Jiangsu Wuxi China Key Laboratory of Advanced Process Control for Light Industry (Jiangnan University) Ministry of Education Jiangsu Wuxi China College of Automobile and Transportation Tianjin University of Technology and Education Tianjin China School of Computer Science and Engineering Anhui University of Science and Technology Anhui Huainan China Medical Image Processing Group Department of Radiology University of Pennsylvania Philadelphia PA United States

In order to alleviate urban congestion, improve vehicle mobility, and improve logistics delivery efficiency, this paper establishes a practical multi-objective and multi constraint logistics delivery mathematical model based on graphs, and proposes a solution algorithm framework that combines decomposition strategy and deep reinforcement learning (DRL). Firstly, taking into account the actual multiple constraints such as customer distribution, vehicle load constraints, and time windows in urban logistics distribution regions, a multi constraint and multi-objective urban logistics distribution mathematical model was established with the goal of minimizing the total length, cost, and maximum makespan of urban logistics distribution paths. Secondly, based on the decomposition strategy, a DRL framework for optimizing urban logistics delivery paths based on Graph Capsule Network (G-Caps Net) was designed. This framework takes the node information of VRP as input in the form of a 2D graph, modifies the graph attention capsule network by considering multi-layer features, edge information, and residual connections between layers in the graph structure, and replaces probability calculation with the module length of the capsule vector as output. Then, the baseline REINFORCE algorithm with rollout is used for network training, and a 2-opt local search strategy and sampling search strategy are used to improve the quality of the solution. Finally, the performance of the proposed method was evaluated on standard examples of problems of different scales. The experimental results showed that the constructed model and solution framework can improve logistics delivery efficiency. This method achieved the best comprehensive performance, surpassing the most advanced distress methods, and has great potential in practical engineering. © 2024 – IOS Press. All rights reserved.

关键词： attention mechanism decomposition strategy deep reinforcement learning graph capsule network multi objective optimization Urban logistics distribution

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Transparent and Extremely Stretchable Piezoelectric Device for Sensors and Energy Harvesters

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ACS Applied Materials and Interfaces 2025年第21期17卷 31499-31510页

作者： He, Jian Qian, Zihao Hu, Zhijun Guo, Mingyu State-Local Joint Engineering Laboratory for Novel Functional Polymer Materials Jiangsu Key Laboratory of Advanced Functional Polymer Materials Suzhou Key Laboratory of Macromolecular Design and Precision Synthesis College of Chemistry Chemical Engineering and Materials Science Soochow University Suzhou 215123 China Key Laboratory of Advanced Optical Manufacturing Technologies of Jiangsu Province Key Laboratory of Modern Optical Technologies of Education Ministry of China School of Optoelectronic Science and Engineering Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou 215123 China

Piezoelectric devices have garnered significant interests due to their dual functionality as both sensors and energy harvesters, as well as the rapid development in Internet of Things (IoT) and artificial intelligence (AI). However, the fabrication of stretchable and transparent piezoelectric devices remains a great challenge, largely due to the inherent crystalline nature of piezoelectric materials and electrodes. In this work, for the first time, we report the fabrication of a highly transparent and stretchable piezoelectric device based entirely on polyurethane-urea (PUU) elastomers/composites. Specifically, nano ZnO hybrid hydrophobic PUU serves as the elastic inner piezoelectric layer;conductive ionic liquid composite hydrophilic PUU forms the middle electrode layer;and hydrophobic PUU elastomer acts as the outer encapsulation layer. The obtained device exhibits exceptional stretchability (elongation at break >1000%) and excellent optical transparency (∼86%). It can generate distinct, stable, and reliable output signals for monitoring both small- and large-scale mechanical motions along with a mechanical energy output of 48 μW m^-2 at a pressure of 38.2 kPa, highlighting its outstanding sensing and energy harvesting capabilities. This work presents valuable new insights into the design and development of novel, reliable, transparent, and stretchable piezoelectric devices, paving the way for the new generation of flexible electronics. © 2025 American Chemical Society.

关键词： energy harvester nano ZnO piezoelectric device polyurethane urea transparent and stretchable sensor

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Bimetallic-doped carbon quantum dots with enhanced photoluminescence and peroxidase-mimicking activity for dual-mode colorimetric and ratiometric fluorescence assay of alendronate

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Analytical and Bioanalytical Chemistry 2025年 1-12页

作者： Wang, Jue Yu, Guanglong Wu, Shuangshuang Zhou, Haifeng Liu, Xiaoqian Han, Jiawei Yang, Rui School of Pharmacy Changzhou University Changzhou213164 China Yabang Pharmaceutical Group Co. LTD Changzhou213163 China College of Chemistry Chemical Engineering and Materials Science Soochow University Suzhou215123 China Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology School of Petrochemical Engineering Changzhou University Changzhou213164 China School of Pharmacy Anhui Medical University Hefei230032 China

Carbon quantum dots (CQDs) are powerful signal transducers in dual-mode assays while still being challenged by their poor peroxidase-mimicking activity and photoluminescence property. Herein, bimetallic copper-iron-doped CQDs (CuFe-CQDs) as a multifunctional nanozyme were proposed for dual-mode colorimetric and ratiometric fluorescence assays of alendronate sodium (ALDS). Notably, CuFe-CQDs were identified to show enhanced and tunable photoluminescence and peroxidase-mimicking activities with bimetallic doping, ascribed to the boosting activation ability of H2O2 into HO• and 1O2, and the improving carrier mobility in the π-conjugated structure of CuFe-CQDs. Based on the inhibition of ALDS on the peroxidase-mimicking activity of CuFe-CQDs, which further disturbed the inner filter effect (IFE) between CuFe-CQDs and the chromatic product, a dual-mode colorimetric and ratiometric fluorescence assay for the differentiation and determination of ALDS and its analogues was developed with better quantification and high identification, reaching a limit of detection of 0.019 μM in colorimetric mode and 0.146 μM in ratiometric fluorescence mode. The developed dual-mode assay also demonstrated accurate analysis of ALDS in diluted tablets and human urine with recoveries of 92–110%. Our work provides a new approach for the development of functional nanozymes and holds great prospects in multi-mode/signal sensing in complex matrix. © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2025.

关键词： Nanocrystals

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Mechanical and tribocorrosion properties of DLP-printed AISI 316L stainless steel

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Materials Today Communications 2025年 46卷

作者： Bian, Da Wang, Junnai Guo, Jie Cao, Xinjian Qian, Shanhua Yang, Jun Liu, Weimin School of Mechanical Engineering Jiangnan University Wuxi214100 China State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical Physics Chinese Academy of Sciences Lanzhou730000 China Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai Yantai264006 China Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology Jiangnan University Jiangsu Wuxi214100 China

Digital light processing (DLP) has been widely utilized in ceramic additive manufacturing, while research on its application for fabricating metallic materials remains in the initial stages. In this paper, the geometric accuracy, mechanical and tribocorrosion properties of AISI 316 L prepared by DLP (DLP-316L) are systematically evaluated. DLP technology exhibits high forming accuracy in additive manufacturing of metal parts, with dimensional errors controllable within ± 70 μm and surface roughness of 1.6 μm. The microstructure of DLP-316L comprises austenite with minor δ-ferrite and M23C6/M7C3 carbides. The carbides originate from residual carbon due to incomplete decomposition of photosensitive resin during debinding, while δ-ferrite forms during prolonged high-temperature sintering at 1380 °C for 6 h. It not only has a high ultimate tensile strength of 543.5 MPa, but more importantly, the fracture elongation can reach 58.73 %, which is at a high level in the preparation of AISI 316 L using DLP. In addition, the tribocorrosion performance of DLP-316L in 3.5 wt% NaCl solution is better than that of the commercial as-rolled AISI 316 L. This is mainly attributed to the presence of a small amount of high-hardness carbides in the microstructure, which improves the wear and corrosion resistance of the material. © 2025 Elsevier Ltd

关键词： Corrosion resistance

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Polyhalogenated heterocycle additive induced in-situ 3D gelatinous polymerization with polysulfides for shuttle effect inhibited lithium-sulfur batteries

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Chemical Engineering Journal 2025年 513卷

作者： Ma, Xingkai Song, Xinmei Wang, Yaoda Liang, Junchuan Shen, Tianyu Wu, Zuoao Qin, Lina Li, Huan Yu, Tianchen Wang, Huaizhu Tie, Zuoxiu Yan, Yichao Sun, Lin Jin, Zhong State Key Laboratory of Coordination Chemistry MOE Key Laboratory of Mesoscopic Chemistry MOE Key Laboratory of High Performance Polymer Materials and Technology Jiangsu Key Laboratory of Advanced Organic Materials Suzhou Key Laboratory of Green Intelligent Manufacturing of New Energy Materials and Devices Tianchang New Materials and Energy Technology Research Center Institute of Green Chemistry and Engineering School of Chemistry and Chemical Engineering Nanjing University Jiangsu Nanjing210023 China School of Chemistry and Chemical Engineering Yancheng Institute of Technology Yancheng224051 China

Lithium-sulfur (Li-S) batteries hold immense promise for achieving high energy density and cost-effectiveness;however, they are plagued by rapid capacity fade and decreased efficiency due to the polysulfide shuttle effect. Herein, we report the introduction of a small molecule additive, tetrachloropyrimidine (TCPy), into ether-based electrolytes to trigger in-situ 3D gelatinous polymerization with polysulfides. The chlorine atoms in TCPy initiated nucleophilic substitution reactions with formerly soluble polysulfides, leading to the formation of an insoluble 3D-crosslinked and gelified organosulfur polymer network that effectively inhibits the polysulfide shuttle effect and preserves high active sulfur content. The abundant nitrogen sites in TCPy exhibit high conductivity and strong chemical adsorption towards polysulfides, thus further enhancing the kinetics of sulfur redox reactions. Consequently, the incorporation of TCPy additive in the electrolyte significantly mitigates the capacity degradation caused by polysulfide shuttling, and dramatically improves the rate capability and cycling stability of Li-S batteries, without reducing the active sulfur content in the cathode. This study underscores the enormous potential of additive-induced in-situ gelatinization strategy for effectively binding, blocking and sequestering polychalcogenides, thereby elevating the overall performance of rechargeable alkali metal–chalcogen batteries. © 2025 Elsevier B.V.

关键词： Redox reactions

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Enhanced mid-infrared luminescent properties of Ho,Re:CNGG (Re[dbnd]Pr, Eu, Tb) crystals co-doped with deactivating ions

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Optical Materials 2025年 164卷

作者： Wei, Yong He, Ziyan Yang, Chuang Liu, Jian Jin, Jiahong Luo, Liang Xu, Xiaodong Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communications College of Physics and Electronics Hunan Institute of Science and Technology Yueyang414006 China Jiangsu Key Laboratory of Advanced Laser Materials and Devices School of Physics and Electronic Engineering Jiangsu Normal University Xuzhou221116 China

Crystals of 2 at.% Ho:CNGG co-doped with 0.2 at.% deactivating ions (Pr3+, Eu3+, Tb3+) were successfully grown using the micro-pulling-down (μ-PD) technique for the first time. Detailed investigations were conducted on absorption spectra, fluorescence spectra, and lifetime decay curves. The 2 at.% Ho, 0.2 at.% Pr:CNGG crystal exhibits a broad absorption band at 1142 nm, with full width at half maximum (FWHM) values of 88.5 nm. This crystal composition shows the most intense emission at 2860 nm, with FWHM of 181 nm. The luminescent lifetime ratio (5I6/5I7) and transition efficiencies of Ho,Pr:CNGG at approximately 3.0 μm are also the highest, measuring 0.107 and 70.48 % (0.105 and 69.96 % for Ho,Eu:CNGG, 0.090 and 65.08 % for Ho,Tb:CNGG). These results suggest that Pr3+ demonstrates superior performance in mitigating self-termination and enhancing population inversion compared to the other deactivating ions. © 2025

关键词： Luminescence

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