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Dendrite-free Zn anode induced by Sn/NC towards highly efficient Zn-ion batteries

CHEMICAL COMMUNICATIONS 2025年第13期61卷 2774-2777页

作者： Wang, Mingyue Ban, Shuoshuo Li, Nanzhe Chen, Shengxiang Ye, Mingfu Zhu, Jiannan Wang, Wenhai Wu, Konglin Anhui Univ Technol Sch Mat Sci & Engn Maanshan 243002 Peoples R China Anhui Nandu Huabo New Mat Technol Co Ltd Fuyang 236500 Anhui Peoples R China Anhui Univ Technol Inst Clean Energy & Adv Nanocatalysis iClean Sch Chem & Chem Engn Maanshan 243002 Peoples R China

Herein, Sn nanoparticles supported on N-doped carbon (Sn/NC) were constructed by a g-C3N4 assisted strategy for the interface layer of Zn anodes in Zn-ion batteries. The presence of Sn/NC effectively regulates the zin... 详细信息

关键词： Zinc plating

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Robust Offloading Scheduling for Mobile Edge Computing

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2022年第7期21卷 2581-2595页

作者： Qu, Yuben Dai, Haipeng Wu, Fan Lu, Dongyu Dong, Chao Tang, Shaojie Chen, Guihai Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200240 Peoples R China Nanjing Univ Aeronaut & Astronaut Key Lab Dynam Cognit Syst Electromagnet Spectrum Minist Ind & Informat Technol Nanjing 210016 Peoples R China Nanjing Univ Dept Comp Sci & Technol Nanjing 210023 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing 210016 Peoples R China Univ Texas Dallas Naveen Jindal Sch Management Richardson TX 75080 USA

In this paper, we study the problem of Robust offloading schEduling for mobIle edge computiNg (REIN), i.e., in the presence of uncertain offloading failures, how to determine an offloading schedule to minimize the overall latency of all computation-intensive tasks. We mathematically formulate the problem in the form of min-max robust optimization, based on the twice equivalent transformations of the scheduling problem that originally does not consider robustness. REIN is challenging to solve because the min-max robust objective is computationally intractable with existing approaches, and the monotonicity of the objective function is uncertain, even if we transform the objective into the popular max-min form by introducing an appropriate constant upper bound. To solve the above challenges, we first construct a constant upper bound and a monotone modular function to approximate the transformed max-min objective function, and then propose a computationally feasible solution with provable performance bound. Moreover, given the fact of the weak computation ability of users in practical, we construct a tighter constant upper bound and a monotone submodular approximation function, and propose a feasible solution with possibly improved performance bound. Extensive results show that, given a maximum number of offloading failures, our proposed algorithms outperform three benchmark algorithms, and approach the optimum at small time costs.

关键词： Task analysis Processor scheduling Robustness Upper bound Servers Edge computing Linear programming Mobile edge computing robust offloading scheduling submodular optimization

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Power Micromachines With Light

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LASER & PHOTONICS REVIEWS 2025年第4期19卷

作者： Xu, Bingrui Zhao, Yanan Chen, Xixi Fu, Rongxin Li, Hang Xie, Shangran Liu, Haobing Li, Yuchao Zhang, Shuailong Li, Baojun Beijing Inst Technol Beijing Adv Innovat Ctr Intelligent Robots & Syst Sch Mechatron Engn Beijing 100081 Peoples R China Jinan Univ Inst Nanophoton Coll Phys & Optoelect Engn Guangdong Prov Key Lab Nanophoton Manipulat Guangzhou 511443 Peoples R China Beijing Inst Technol Sch Med Technol Beijing 100081 Peoples R China Beijing Inst Technol Sch Opt & Photon Beijing 100081 Peoples R China Beijing Inst Technol Engn Res Ctr Integrated Acousto Optoelect Microsys Sch Integrated Circuits & Elect Minist Educ China Beijing 100081 Peoples R China Beijing Inst Technol Zhengzhou Res Inst Zhengzhou 450000 Peoples R China Beijing Inst Technol Chongqing Inst Microelect & Microsyst Chongqing 400000 Peoples R China

Optical manipulation technology encompasses a suite of micromanipulation techniques that employ light to control and actuate microscopic objects. As a valuable scientific tool, optical manipulation technology is employed by researchers to investigate fundamental biological processes, examine the mechanics of microstructures, and develop innovative technologies with applications in diagnostics, imaging, and micro-scale manufacturing. The rapid development of optical manipulation technology, combined with advanced microfabrication techniques, has catalyzed the emergence of a burgeoning research domain termed optically-driven micromachinery. This rapidly expanding field has garnered significant research interest in recent years, fostering interdisciplinary collaboration across advanced manufacturing, materials science, biotechnology, and micro-electromechanical systems. The capability to optically manipulate and control micromachines also opens new avenues for the development of advanced tools, sensors, and devices with enhanced functionalities, enabling the accomplishment of tasks previously considered impossible. This review presents a systematic overview of two important optical micromanipulation technologies, optical tweezers and optoelectronic tweezers, with focus on their applications in the field of optically-driven micromachinery. A comparative analysis of optical tweezers and optoelectronic tweezers is conducted, accompanied by a discussion on strategies to further enhance their performance, paving the way for the development of more advanced and powerful optically-driven micromachinery in the future.

关键词： micromachine microrobot optical manipulation optical tweezers optoelectronic tweezers

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HFL-Aided Adaptive Upstream Transfer Scheme in Edge Computing Power Optical Network

HFL-Aided Adaptive Upstream Transfer Scheme in Edge Computin...

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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Lian, Zhengtao Lin, Xiao Zhang, Jia Li, Jun Chen, Zhen Sun, Weiqiang Lou, Zhilan Fuzhou Univ Coll Phys & Informat Engn Fuzhou Peoples R China Soochow Univ Sch Elect & Informat Engn Suzhou Peoples R China Shanghai Jiao Tong Univ State Key Lab Adv Opt Commun Syst & Networks Shanghai Peoples R China Zhejiang Univ Finance & Econ Sch Data Sci Hangzhou Peoples R China

ISBN: (纸本)9798350378412

Edge computing power optical network (ECPON) has emerged as a solution for providing last-mile AI access, bringing with it an urgent need for efficient resource allocation, which cannot be achieved without accurate traffic prediction and estimation of the network performance. However, privacy concerns and data heterogeneity prohibit the conventional prediction and estimation approaches from becoming practical solutions for the ECPON. In this paper, a hierarchical-federated-learning-aided adaptive upstream transfer scheme is presented. On one hand, it combines shape-based traffic clustering, wavelet analysis and GRU into an HFL-aided predictor to perceive future traffic fluctuation. On the other hand, it uses HFL-aided estimators to perceive the ECPON performance metrics. As such, it can allocate resources to adapt to traffic fluctuation in advance. Simulations show that the proposed scheme offers near-optimal allocation compared with the conventional schemes.

关键词： Optical network edge computing power network hierarchical federated learning traffic prediction performance estimation network optimization

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Storage-Assisted Uploading Method for HFL over Optical AIGC Networks

Storage-Assisted Uploading Method for HFL over Optical AIGC ...

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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Zhang, Jia Lin, Xiao Lian, Zhengtao Li, Jun Chen, Zhen Sun, Weiqiang Lou, Zhilan Fuzhou Univ Coll Phys & Informat Engn Fuzhou Peoples R China Soochow Univ Sch Elect & Informat Engn Suzhou Peoples R China Shanghai Jiao Tong Univ State Key Lab Adv Opt Commun Syst & Networks Shanghai Peoples R China Zhejiang Univ Finance & Econ Sch Data Sci Hangzhou Peoples R China

ISBN: (纸本)9798350378412

The rise of artificial intelligence-generated content (AIGC) has fueled a growing demand for data uploads. Massive data are transferred from clients and aggregated on the cloud for the AIGC model update. However, traffic fluctuation makes it difficult to carry AIGC uploads over conventional end-to-end (E2E) connections. In this paper, we present a storage-assisted uploading method for hierarchical federated learning (SU-HFL) over optical AIGC networks. SU-HFL not only reduces uploading traffic via edge aggregation enabled by HFL, but also relaxes the E2E constraint via temporary storage on intermediate nodes. Simulations show that SU-HFL outperforms conventional methods in terms of network performance and training accuracy.

关键词： AIGC optical network resource scheduling hierarchical federated learning model upload store-and-forward

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Graph-Classifier-Aided SnF Scheduling Method for Optical Computing Power Networks

Graph-Classifier-Aided SnF Scheduling Method for Optical Com...

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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Lin, Xiao Xiao, Junhao Zheng, Lanfang Zhang, Jia Lian, Zhengtao Li, Jun Chen, Zhen Sun, Weiqiang Lou, Zhilan Fuzhou Univ Coll Phys & Informat Engn Fuzhou Peoples R China Soochow Univ Sch Elect & Informat Engn Suzhou Peoples R China Shanghai Jiao Tong Univ State Key Lab Adv Opt Commun Syst & Networks Shanghai Peoples R China Zhejiang Univ Finance & Econ Sch Data Sci Hangzhou Peoples R China

ISBN: (纸本)9798350378412

Optical computing power network (OCPN) has emerged as a key enabler for the era of AI. However, OCPN operators find it difficult to accommodate increasing bulk data transfers over end-to-end lightpaths due to the spatiotemporal volatility of background traffic. In this paper, we propose a graph-classifier-aided store-and-forward (SnF) scheduling method, namely GCS, for bulk data transfers in the OCPN. Instead of formulating a static optimization model, GCS formulates the SnF problem as a routing model on a multilayer graph. Instead of searching the entire graph directly, GCS decomposes it into multiple fixed-route subgraphs and leverages a GCN graph classifier to exclude infeasible subgraphs as well as narrow down the search scope of subgraphs. GCS not only reduces the complexity of the problem and the difficulty of the model learning. Studies show that GCS obtains lower blocking probability and shorter searching time than the existing methods.

关键词： Optical network computing power network routing graph classification store-and-forward

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High Latent Heat and Recyclable Phase-Change Materials for Photothermoelectric Conversion

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ACS APPLIED MATERIALS & INTERFACES 2025年第18期17卷 27155-27166页

作者： Zeng, Xiaohui Chen, Silong Liao, Yansheng Liu, Tianren Liu, Zhimeng Jiang, Liang Lei, Yuan Lei, Jingxin Fu, Xiaowei Sichuan Univ Polymer Res Inst State Key Lab Polymer Mat Engn Chengdu 610065 Peoples R China Sichuan Univ Sch Chem Engn Chengdu 610065 Peoples R China

Realizing organic phase-change material networks with excellent recyclability while maintaining high latent heat still faces great challenges due to the difficult trade-off between network composition. Herein, the high latent heat and recyclable phase-change materials (RPCMs) were developed by integrating linear poly(ethylene glycol) (PEG) multimers as phase-change components and the dynamic covalent cross-linking polyurethane network components in a semi-interpenetrating polymer network structure. The latent heat (54.7-145.0 J/g) can be readily tuned by the weight fraction of linear PEG multimers and the molecular weight of PEGs used in RPCMs. The RPCMs have excellent recyclability/reprocessability with activation energy of 81.23-125.84 kJ/mol by introducing dynamic disulfide bonds in the cross-linking network structure components in RPCMs while enabling the adjustable mechanical stress (10.72-14.04 MPa) and strain (7.40-266.22%), high thermal reliability, and high thermal stability. Efficient photothermal RPCMs were realized by introducing polydopamine particles in the RPCM matrix. The thermal management system and the photothermoelectric generator were designed based on the advantages of high latent heat and efficient photothermal ability of RPCMs and further demonstrated the excellent thermal management ability and photothermoelectric properties.

关键词： phase-change material semi-interpenetrating structurenetwork reprocessability photothermoelectric conversion dynamic covalent bond

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Current knowledge on the epidemiology and prevention of Avian leukosis virus in China

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POULTRY SCIENCE 2024年第9期103卷 104009页

作者： Tan, Lei Li, Juan Duan, Yuqing Liu, Jing Zheng, Shiling Liang, Xiongyan Fang, Chun Zuo, Mengting Tian, Guangming Yang, Yuying Yangtze Univ Coll Anim Sci & Technol Jingzhou Peoples R China Yunnan Sino Sci Gene Technol Co Ltd Kunming Yunnan Peoples R China Changsha Med Univ Hunan Prov Key Lab TCM Agr Biogenom Changsha Hunan Peoples R China

Avian leukosis virus ( ALV ) is an enveloped retrovirus with a single-stranded RNA genome, belonging to the genus Alpharetrovirus within the family Retroviridae . The disease (Avian leukosis, AL ) caused by ALV is mainly characterized by tumor development and immunosuppression in chickens, which increases susceptibility to other pathogens and leads to signi ficant economic losses in the Chinese poultry industry. The government and poultry industry have made lots of efforts to eradicate ALV, but the threat of which remains not vanished. This review provides a summary of the updated understanding of ALV in China, which mainly focuses on genetic and molecular biology, epidemiology, and diagnostic methods. Additionally, promising antiviral agents and ALV eradication strategies performed in China are also included.

关键词： avian leukosis virus (ALV) molecular biology epidemiology and diagnosis antiviral agent China

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Poly(dimethyl-diphenyl-imide)siloxane/phenolic-based double network hybrid resin coatings for ablation thermal protection

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PROGRESS IN ORGANIC COATINGS 2023年 182卷

作者： Yuan, Quan Yan, Liwei Tian, Jinfeng Xia, Shuang Heng, Zhengguang Liang, Mei Chen, Yang Zou, Huawei Sichuan Univ Polymer Res Inst State Key Lab Polymer Mat Engn Chengdu 610065 Peoples R China

Organic-inorganic hybridization is an important way to improve ablation resistance of phenolic resin coatings (PR). However, long molecular chain silicone by copolymerization is less compatible with PR and hybrid resin will form sea-island phase, which is not favorable for further improvement of ablation resistance. Therefore, how to achieve a combination of long chain and compatibility is a major challenge. In this work, the poly(dimethyldiphenyl-imide)siloxane (PMPI) containing imide and phenyl was synthesized by anionic ring-opening polymerization and copolymerization. Then, it was hybridized with PR to obtain PMPI/PR-based double network hybrid resin coatings with nano co-continuous phase. The oxyacetylene ablation test suggests that the resin coatings with medium phenyl content has the lowest linear ablation rate (0.055 mm/s), which is 74 % lower compared to PR (0.21 mm/s). In addition, the mechanism by which PMPI enhances ablation resistance is discussed. This work provides a promising approach to develop higher performance ablative-resistant resin coatings.

关键词： Coatings Silicone Phenolic resin Co -continuous structure Copolymer

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Efficient Persistent Fault Analysis with Small Number of Chosen Plaintexts

IACR Transactions on Cryptographic Hardware and Embedded Sys...

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IACR Transactions on Cryptographic Hardware and Embedded Systems 2023年第2期2023卷 519-542页

作者： Zhang, Fan Huang, Run Feng, Tianxiang Gong, Xue Tao, Yulong Ren, Kui Zhao, Xinjie Guo, Shize School of Cyber Science and Technology College of Computer Science and Technology Zhejiang University Hangzhou310027 China Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies Hangzhou310027 China Key Laboratory of Blockchain and Cyberspace Governance of Zhejiang Province Hangzhou310027 China Henan Province Key Laboratory of Cyberspace Situation Awareness Zhengzhou450001 China Shanghai Institute of Satellite Engineering Shanghai201109 China

In 2018, Zhang et al. introduced the Persistent Fault Analysis (PFA) for the first time, which uses statistical features of ciphertexts caused by faulty Sbox to recover the key of block ciphers. However, for most of the variants of PFA, the prior knowledge of the fault (location and value) is required, where the corresponding analysis will get more difficult under the scenario of multiple faults. To bypass such perquisite and improve the analysis efficiency for multiple faults, we propose Chosen-Plaintext based Persistent Fault Analysis (CPPFA). CPPFA introduces chosen-plaintext to facilitate PFA and can reduce the key search space of AES-128 to extremely small. Our proposal requires 256 ciphertexts, while previous state-of-the-art work still requires 1509 and 1448 ciphertexts under 8 and 16 faults, respectively, at the only cost of requiring 256 chosen plaintexts. In particular, CPPFA can be applied to the multiple faults scenarios where all fault locations, values and quantity are unknown, and the worst time complexity of CPPFA is O(28+nf) for AES-128, where nf represents the number of faults. The experimental results show that when nf > 4, 256 pairs of plaintext-ciphertext can recover the master key of AES-128. As for LED-64, only 16 pairs of plaintext-ciphertext reduce the remaining key search space to 210. © 2023, Ruhr-University of Bochum. All rights reserved.

关键词： Side channel attack

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