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New sustainable polymers with on-demand depolymerization property

Science China Chemistry 2024年第9期67卷 2803-2841页

作者： Yangyang Sun Zesheng An Yanshan Gao Rongrong Hu Ye Liu Hua Lu Xiao-Bing Lu Xuan Pang Anjun Qin Yong Shen Youhua Tao Yu-Zhong Wang Junpeng Wang Gang Wu Guang-Peng Wu Tie-Qi Xu Xing-Hong Zhang Yuetao Zhang Zhenbiao Zhang Jian-Bo Zhu Miao Hong Zhibo Li State Key Laboratory of Organometallic Chemistry Shanghai Institute of Organic ChemistryChinese Academy of SciencesShanghai 200032China State Key Laboratory Base of Eco-Chemical Engineering College of Chemical EngineeringQingdao University of Science and TechnologyQingdao266042China State Key Laboratory of Supramolecular Structure and Materials College of ChemistryJilin UniversityChangchun 130012China State Key Laboratory of Luminescent Materials and Devices Guangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesSouth China University of TechnologyGuangzhou 510640China State Key Laboratory of Fine Chemicals Frontiers Science Center for Smart MaterialsDalian University of TechnologyDalian 116024China Beijing National Laboratory for Molecular Sciences Center for Soft Matter Science and EngineeringKey Laboratory of Polymer Chemistry and Physics of Ministry of EducationCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China Key Laboratory of Polymer Ecomaterials Changchun Institute of Applied ChemistryChinese Academy of SciencesChangchun 130022China The Collaborative Innovation Center for Eco-Friendly and Fire-Safety Polymeric Materials(MoE) National Engineering Laboratory of Eco-Friendly Polymeric Materials(Sichuan)College of ChemistryState Key Laboratory of Polymer Materials EngineeringSichuan UniversityChengdu 610064China School of Polymer Science and Polymer Engineering the University of AkronAkronOH 44325USA MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027China State and Local Joint Engineering Laboratory for Novel Functional Polymeric Materials Jiangsu Key Laboratory of Advanced Functional Polymer Design and ApplicationSuzhou Key Laboratory of Macromolecular Design and Precision SynthesisCollege of ChemistryChemical Engineering and Materials ScienceSoochow UniversitySuzhou 215123China

To combat the crisis of today's synthetic polymers arising from unsustainable production and disposal,it is essential for the synthetic polymer community to reshape the current polymer industry with sustainable *** an emerging class of sustainable polymers,the development of chemically depolymerizable polymers(CDPs),which can undergo closed-loop depolymerization/repolymerization cycles to reproduce virgin polymers without the loss of properties from recovered monomers,offers an ideal solution to preserve finite natural resources,provides a feasible solution to the end-of-life issue of polymer waste,and thereby establishes a circular materials ***,two grand key challenges have been encountered in the establishment of practically useful CDPs:how to balance polymerization and depolymerization ability and how to unify conflicted depolymerizability and physical ***,this critical review article presents our vision for summarizing feasible strategies to overcome the above two significant challenges and the design principles for constructing an ideal CDP by highlighting selected major progress made in this rapidly expanding field.

关键词： chemically depolymerizable polymers sustainable polymers depolymerization monomer recovery degradation plastics

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Discrete-time Formation Control With Attitude Alignment: A Geometric Approach under Ergodic Products

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IEEE Transactions on Control of Network Systems 2025年

作者： Li, Zhen Tang, Yang Zhang, Wenbing Fan, Yongqing Huang, Tingwen Xi-an University of Posts and Telecommunications School of Automation Xian710121 China East China University of Science and Technology Key Laboratory of Smart Manufacturing in Energy Chemical Process Shanghai200237 China Yangzhou University Department of Mathematics Jiangsu225002 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

Assuming agents possess sensing capabilities and dynamics relative to their body coordinate frames, this paper addresses a displacement-based strategy for discrete-time formation control through attitude synchronization. Unlike the Eulerian approximation, the first challenge lies in developing discrete-time models that capture both position and attitude motions, thereby complementing existing continuous-time systems with a discretized version. Then, two leader-following control protocols are designed, incorporating a jointly-connected topology to relax the connectivity requirements. The analysis of these systems often relies on the Lyapunov function, the existence of which may be hard to guarantee. Consequently, geometric properties of several polytopes are explored under the dynamic topologies and time-varying parameters. By extending the ergodicity results to leader-following scenarios, these properties are characterized as positively invariant sets. This invariance, which is independent of the existence of the Lyapunov function or the solvability of its associated criteria, provides a beneficial tool for analyzing time-variant systems. Utilizing this invariance and some mathematical techniques, the desired formation shape can be achieved in the cases where the attitudes of the followers synchronize with the leader. Finally, a numerical simulation validates the results. © 2014 IEEE.

关键词： Lyapunov functions

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Designing polymer nanocomposites with high energy density using machine learning

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npj Computational Materials 2021年第1期7卷 999-1007页

作者： Zhong-Hui Shen Zhi-Wei Bao Xiao-Xing Cheng Bao-Wen Li Han-Xing Liu Yang Shen Long-Qing Chen Xiao-Guang Li Ce-Wen Nan State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center of Smart Materials and DevicesWuhan University of TechnologyWuhanChina International School of Materials Science and Engineering Wuhan University of TechnologyWuhanChina Hefei National Laboratory for Physical Sciences at the Microscale Department of Physics and CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics University of Science and Technology of China HefeiChina Department of Materials Science and Engineering The Pennsylvania State UniversityUniversity ParkPAUnited States School of Materials Science and Engineering State Key Lab of New Ceramics and Fine ProcessingTsinghua UniversityBeijingChina

Addressing microstructure-property relations of polymer nanocomposites is vital for designing advanced dielectrics for electrostatic energy ***,we develop an integrated phase-field model to simulate the dielectric response,charge transport,and breakdown process of polymer ***,based on 6615 high-throughput calculation results,a machine learning strategy is schemed to evaluate the capability of energy *** find that parallel perovskite nanosheets prefer to block and then drive charges to migrate along with the interfaces in x-y plane,which could significantly improve the breakdown strength of polymer *** verify our predictions,we fabricate a polymer nanocomposite P(VDF-HFP)/Ca_(2)Nb_(3)O_(10),whose highest discharged energy density almost doubles to 35.9 J cm^(−3) compared with the pristine polymer,mainly benefit from the improved breakdown strength of 853 MVm^(−1).This work opens a horizon to exploit the great potential of 2D perovskite nanosheets for a wide range of applications of flexible dielectrics with the requirement of high voltage endurance.

关键词： polymer energy perovskite

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Layer Hall Detection of the Néel Vector in Centrosymmetric Magnetoelectric Antiferromagnets

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Physical Review Letters 2024年第9期133卷 096803页

作者： L. L. Tao Qin Zhang Huinan Li Hong Jian Zhao Xianjie Wang Bo Song Evgeny Y. Tsymbal Laurent Bellaiche School of Physics Key Laboratory of Material Simulation Methods and Software of Ministry of Education College of Physics International Center of Future Science National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Department of Physics and Astronomy & Nebraska Center for Materials and Nanoscience Smart Ferroic Materials Center Physics Department and Institute for Nanoscience and Engineering Department of Materials Science and Engineering Tel Aviv University Ramat Aviv Tel Aviv 6997801 Israel

The efficient detection of the Néel vector in antiferromagnets is one of the prerequisites toward antiferromagnetic spintronic devices and remains a challenging problem. Here, we propose that the layer Hall effect can be used to efficiently detect the Néel vector in centrosymmetric magnetoelectric antiferromagnets. Thanks to the robust surface magnetization of magnetoelectric antiferromagnets, the combination of sizable exchange field and an applied electric field results in the layer-locked spin-polarized band edges. Moreover, the Berry curvature can be engineered efficiently by an electric field, which consequently gives rise to the layer-locked Berry curvature responsible for the layer Hall effect. Importantly, it is demonstrated that the layer Hall conductivity strongly depends on the Néel vector orientation and exhibits rich electromagnetic responses, which can be used to detect the Néel vector reversal. Based on density functional theory calculations, we exemplify those phenomena in the prototypical Cr2O3 compound. A complete list of the magnetic point groups sustaining the layer Hall effect is presented, aiding the search for realistic materials. Our work proposes a novel approach to detect the Néel vector and holds great promise for antiferromagnetic spintronic applications.

关键词： Anomalous Hall effect Magnetoelectric effect Transport phenomena Antiferromagnets Multiferroics First-principles calculations k dot p method

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A Hybrid Brain-Computer Interface Using Motor Imagery and SSVEP Based on Convolutional Neural Network

arXiv

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arXiv 2022年

作者： Luo, Wenwei Yin, Wanguang Liu, Quanying Qu, Youzhi Shenzhen Key Laboratory of Smart Healthcare Engineering Guangdong Provincial Key Laboratory of Advanced Biomaterials Department of Biomedical Engineering Southern University of Science and Technology China

The key to electroencephalography (EEG)-based brain-computer interface (BCI) lies in neural decoding, and its accuracy can be improved by using hybrid BCI paradigms, that is, fusing multiple paradigms. However, hybrid BCIs usually require separate processing processes for EEG signals in each paradigm, which greatly reduces the efficiency of EEG feature extraction and the generalizability of the model. Here, we propose a two-stream convolutional neural network (TSCNN) based hybrid brain-computer interface. It combines steady-state visual evoked potential (SSVEP) and motor imagery (MI) paradigms. TSCNN automatically learns to extract EEG features in the two paradigms in the training process, and improves the decoding accuracy by 25.4% compared with the MI mode, and 2.6% compared with SSVEP mode in the test data. Moreover, the versatility of TSCNN is verified as it provides considerable performance in both single-mode (70.2% for MI, 93.0% for SSVEP) and hybrid-mode scenarios (95.6% for MI-SSVEP hybrid). Our work will facilitate the real-world applications of EEG-based BCI systems. © 2022, CC BY.

关键词： Brain computer interface

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Effect of Discharge Amplitude on Electrical Trees Based on Three-Capacitance Model

Effect of Discharge Amplitude on Electrical Trees Based on T...

引用

Energy engineering and Power Systems (EEPS), International Conference on

作者： Xiaoning Shi Bo Qiao Zhe Zheng Guohai Lin Yalin Wang Yi Yin State Grid Smart Grid Research Institute Co.Ltd (State Key Laboratory of Advanced Power Transmission Technology) Beijing China Beijing Institute of Smart Energy Beijing China Department of Electrical Engineering Shanghai Jiao Tong University Shanghai China

The phenomenon of electrical trees in DC cable insulation is the main threat to cable operation. The three-capacitance model is one of the common models used to characterize the internal defect discharge of insulation. In this paper, the equivalent circuit is established based on the three-capacitance model of the electrical tree, and the equivalent circuit is analyzed under different conditions of discharge and discharge, and the influencing factors of the apparent discharge quantity change during the electrical tree process are obtained from the perspective of capacitance, and the finite element simulation software is used to calculate the capacitance directly according to the electrode structure. In this paper, the relationship between the partial discharge amplitude and the distance of the pin plate, and the size of the electric tree during the growth of the electric tree under constant pressure is deduced theoretically.

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A Micro Switch Based Modeling Method for LCC-HVDC System 14

A Micro Switch Based Modeling Method for LCC-HVDC System

引用

14th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2023

作者： Zhu, Lin Gu, Huaiguang Li, Shujing Yang, Mingcheng Liu, Qi Jia, Chen Yang, Luyu State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Beijing China State Grid Beijing Electric Power Company State Grid Beijing Fengtai Power Supply Company Beijing China College Northeast Electric Power University Electrical Engineering Jilin City China Liaoning Electric Power Academy of State Grid Technology Management Department Shenyang China

ISBN: (纸本)9798350328233

Power system simulation is an important tool to analysis the mechanism and characteristics of high voltage direct current (HVDC) systems. With the increased transmission lines in system, the calculation amount and complexity of simulation increase greatly. The line commutated converter (LCC) is the most widely used converter in HVDC system. The average model of LCC lacks the commutation process and can only be used for steady-state analysis. The switch model is too detail for large system simulation, making the calculation amount too large. Therefore, a modeling method based on micro switch is proposed for LCC in this paper, which reflects the commutation process of converter but has less calculation. Firstly, the basic concept of micro switch is introduced. Secondly, the external characteristics of the active inverter are analyzed. Then, the process of LCC commutation is analyzed to express the characteristics of thyristor unit. Finally, the effectiveness of the micro switch modeling method is verified by simulation. Compared with the switch model, the proposed model can effectively shorten the simulation time, and retain the inverter commutation process, and further simulate the commutation failure scenario in the future. © 2023 IEEE.

关键词： Thyristors

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Emerging investigator series: enhancing the degradation of ciprofloxacin in water using Oxone activated by urchin-like cubic and hollow-structured cobalt@N-doped carbon prepared by etching-engineering: a comparative study with mechanistic and eco-toxic assessments

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Environmental Science: Water Research and technology 2023年第8期9卷 1992-2007页

作者： Tuan, Duong Dinh Park, Young-Kwon Wen, Jet-Chau Bui, Ha Manh Duan, Xiaoguang Ghanbari, Farshid Ghotekar, Suresh Chen, Wei-Hsin Lin, Kun-Yi Andrew International School Thai Nguyen University Thai Nguyen City250000 Viet Nam School of Environmental Engineering University of Seoul Seoul02504 Korea Republic of National Yunlin University of Science and Technology Yunlin County Douliu Taiwan Faculty of Environment Saigon University Ho Chi Minh City70000 Viet Nam School of Chemical Engineering and Advanced Materials The University of Adelaide SA5005 Australia Abadan University of Medical Sciences Abadan Iran Silvassa396 India Department of Aeronautics and Astronautics National Cheng Kung University Tainan701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung411 Taiwan Department of Environmental Engineering & Innovation and Development Center of Sustainable Agriculture National Chung Hsing University Taichung402 Taiwan

Ciprofloxacin (CIP) represents the most typical fluoroquinolone antibiotic and is increasingly detected in water environments. For eliminating CIP from water, a hollow-engineered nanostructured cobalt-embedded nitrogen-doped carbon (H-Co@NC) is developed through an etching-engineering technique. H-Co@NC exhibits a cubiform morphology with a hollow configuration covered by thin urchin-like layers, whereas cobalt (Co) nanoparticles are embedded throughout the entire surface. Thus, H-Co@NC shows remarkable catalytic activities for Oxone activation to eliminate CIP from water and outperforms the non-hollow analogue, S-Co@NC, and the commercial Co3O4. The activation energy (Ea) was measured as 48.2 kJ mol−1, which is lower than that reported for most of the catalysts for CIP degradation. The degradation pathway of CIP by H-Co@NC + Oxone is also proposed based on theoretical calculations and detected intermediates. SO4˙−, OH˙, and 1O2 are simultaneously generated from H-Co@NC + Oxone, in which SO4˙− shows a dominant role in the CIP degradation. Besides, H-Co@NC preserves its structure over multi-cycle CIP degradation and remains highly effective in various water matrices. CIP degradation by H-Co@NC + Oxone does not lead to the formation of toxic and very toxic by-products during its decomposition process by the eco-toxicity assessment. These features validate that H-Co@NC is an advantageous and promising heterogeneous catalyst for activating Oxone to eliminate CIP from aqueous systems. © 2023 The Royal Society of Chemistry.

关键词： Cobalt

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technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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A Cyclic Small Phase Theorem for Nonlinear Systems

A Cyclic Small Phase Theorem for Nonlinear Systems

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IEEE Conference on Decision and Control

作者： Chao Chen Jianqi Chen Di Zhao Li Qiu STADIUS center of Department of Electrical Engineering (ESAT) KU Leuven Leuven Belgium Center for Advanced Control and Smart Operations Nanjing University Suzhou China Department of Control Science and Engineering & Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai China School of Science and Engineering The Chinese University of Hong Kong Shenzhen Shenzhen China

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

A new definition of phase, called the γ-segmental phase, is proposed for stable nonlinear systems from an input-output perspective. The definition is graphically established upon a disk segment covering the normalized numerical range of a nonlinear system plotted in the unit disk. The Hilbert transform is employed which acts as an enabling instrument for complexifying real-valued input-output trajectories of a system. A small phase stability criterion is developed for a cyclic feedback system consisting of multiple subsystems, namely, \begin{equation*}\Psi_{\gamma_{1}}\left(\boldsymbol{P}_{1}\right)+\Psi_{\gamma_{2}}\left(\boldsymbol{P}_{2}\right)+\cdots+\Psi_{\gamma_{m}}\left(\boldsymbol{P}_{m}\right) \subset(-\pi, \pi)\end{equation*} where the interval-valued $\Psi_{\gamma}(\cdot)$ denotes the γ-segmental phase of a system. The proposed criterion can be regarded as a phase counterpart to the monumental small gain theorem.

关键词： Linear systems Instruments Frequency-domain analysis Stability criteria Transforms Trajectory Nonlinear systems Numerical stability

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