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Three-dimensional electrically conductive–hydrophobic layer for stable Zn metal anodes

SusMat 2024年第3期4卷 164-174页

作者： Yang Mei Jiahui Zhou Botao Zhang Li Li Feng Wu Yongxin Huang Renjie Chen Beijing Key Laboratory of Environmental Science and Engineering School of Material Science&EngineeringBeijing Institute of TechnologyBeijingChina Advanced Technology Research Institute(Jinan) Beijing Institute of TechnologyJinanChina Collaborative Innovation Center of Electric Vehicles Beijing Institute of TechnologyBeijingChina

The interrelated side reactions and dendrites growth severely destabilize the electrode/electrolyte interfaces,resulting in the difficult application of aqueous Zn ion batteries(AZIBs).Hydrophobic protective layer possesses natural inhibition ability for side ***,the conventional protective layer with plane structure is difficult to attain joint regulation of side reaction and Zn ***,a novel three-dimensional(3D)electrically conductive and hydrophobic(3DECH)interface is elaborated to enable stable Zn *** as-prepared 3DECHinterface presents a uniform 3Dmorphologywith hydrophobic property,large specific surface area,abundant zincophilic sites,and excellent ***,the 3DECH interface achieves uniform nucleation and dendrite-free deposition from synergetic benefits:(1)increased nucleation sites and reduced local current density through the special 3D structure and(2)uniform electric potential distribution and rapid Zn^(2+)transport due to the electroconductive alloy chemistry,thus coupling the hydrophobic property to obtain a highly reversible Zn ***,the modified anode achieves a superior coulombic efficiency of 99.88%over 3500 cycles,and the pouch cells using modified anode and LiMn_(2)O_(4)(LMO)cathode retain a capacity of 84 mAh g^(−1)after 700 cycles at a reasonable depth discharge of 36%,without dendrite piercing and“dead Zn.”

关键词： electroconductive layer flat deposition hydrophobic layer three-dimensional surface zincmetal anode

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Surface-sensitive electronic structure of kagome superconductor CsV_(3)Sb_(5)

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Chinese Physics B 2024年第10期33卷 35-40页

作者： Zhisheng Zhao Jianghao Yao Rui Xu Yuzhe Wang Sen Liao Zhengtai Liu Dawei Shen Shengtao Cui Zhe Sun Yilin Wang Donglai Feng Juan Jiang School of Emerging Technology and Department of Physics University of Science and Technology of ChinaHefei 230026China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201210China National Synchrotron Radiation Laboratory School of Nuclear Science and Technology and New Cornerstone Science LaboratoryUniversity of Science and Technology of ChinaHefei 230026China

We systematically study the electronic structure of a kagome superconductor CsV_(3)Sb_(5)at different temperatures coveringboth its charge density wave state and normal state with angle-resolved photoemission *** observe thatthe V-shaped band aroundГshows three different behaviors,referred to as a/a',βandγ,mainly at different *** investigations confirm that these bands are all from the same bulk Sb-p_(z)origin,but they are quite sensitiveto the sample surface conditions mainly modulated by ***,the intriguing temperature dependent electronicbehavior of the band nearГis affected by the sample surface condition,rather than intrinsic electronic behavior originatingfrom the phase *** result systematically reveals the confusing electronic structure behavior of the energy bandsaroundГ,facilitating further exploration of the novel properties in this material.

关键词： kagome ARPES charge density wave surface sensitive

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Microstructure and Mechanical Properties of ZrC_(x)-NbC_(y)-Cu Composites by Reactive Infiltration at 1300℃

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Journal of Wuhan University of technology(Materials science) 2023年第1期38卷 52-58页

作者：王东 XU Kai WEI Boxin WANG Yujin Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials(Anhui University of Technology) Ministry of EducationMa’anshan 243002China School of Materials Science and Engineering Anhui University of TechnologyMa’anshan 243002China Institute for Advanced Ceramics School of Materials Science and EngineeringHarbin Institute of TechnologyHarbin 150001China School of Materials Science and Engineering Harbin University of Science and TechnologyHarbin 150080China

ZrC_(x)-NbC_(y)-Cu composites were fabricated by pressure-less reactive infiltration of Zr-Cu binary melts into porous NbC preforms at 1300℃.The effect of Zr content in the infiltrator on microstructure of the as-synthesized composites was *** properties of the composites were reported.A partial displacement of Nb atoms in NbC by Zr atoms from Zr-Cu melt occurs during the reaction between Zr-Cu melt and porous NbC *** formation of a core-shell structure suggests the reaction is mainly a dissolutionprecipitation *** dissolves into Zr-Cu melt,from which the(Nb,Zr)C_(z)phase precipitates and *** increasing Zr content in the Zr-Cu infiltrator,the reaction is enhanced and the infiltration is easily ***_(x)-NbC_(y)-Cu composite is synthesized using Zr_(14)Cu_(51)*** flexural strength and fracture toughness of ZrC_(x)-NbC_(y)-Cu composite reach 637 MPa and 12.7 MPa·m^(1/2),*** the improved toughness is probably attributed to residual Cu phase and plate-like Nb_(x)C_(y)phases.

关键词： ZrC_(x)-NbC_(y)-Cu composite reactive melt infiltration microstructure mechanical properties

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Non-isothermal Crystallization and Thermal Transformation Behaviors of Plasma Sprayed Fe_(48)Cr_(15)Mo_(14)C_(15)B_(6)Y_(2)Amorphous Coating

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Journal of Wuhan University of technology(Materials science) 2024年第6期39卷 1397-1405页

作者： WANG Miqi ZHOU Zehua YI Yu ZHANG Xin SHI Fang Faculty of Mechanical and Material Engineering Huaiyin Institute of TechnologyHuai’an 223003China College of Materials Science and Engineering Hohai UniversityChangzhou 213200China Jiangsu Key Laboratory of Advanced Manufacturing Technology Huaiyin Institute of TechnologyHuai’an 223003China Research Laboratory of Computational Mechanics Huaiyin Institute of TechnologyHuai’an 223003China

The non-isothermal crystallization dynamic behavior and mechanism of plasma sprayed Fe_(48)Cr_(15)Mo_(14)C_(15)B_(6)Y_(2)coating were thoroughly *** phase transition and crystallization kinetics of the coating were elaborately investigated by differential scanning calorimetry(DSC),X-ray diffraction(XRD),scanning electron microscopy(SEM),and transmission electron microscopy(TEM).The findings reveal that the characteristic temperatures of the coating shift to an elevated temperature at a higher heating rate and the crystallization processes are thermally *** 3-rd step of crystallization processes is more susceptible to the continuously increased heating rate while the onset crystallization reaction is less sensitive to the continuously enhanced heating ***_(23)(C,B)_6 phase is inclined to precipitate than other crystal phases due to the substantial pre-generation ofα-*** onset nucleation and growth ofα-Fe crystals is tough due to a higher onset apparent activation ***,the transformation from Fe_(23)(C,B)_(6)to FeB is harder in comparison with the precipitation of other *** most parts of the three crystallization processes are dominated by three-dimensional diffusion model due to the fact that most values of local Avrami exponent are higher than 2.5.

关键词： plasma spraying non-isothermal crystallization phase transition diffusion mode

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Exploring superionic conduction in lithium oxyhalide solid electrolytes considering composition and structural factors

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npj Computational Materials 2024年第1期10卷 1705-1717页

作者： Fiaz Hussain Jinlong Zhu Yusheng Zhao Wei Xia Ningbo Key Laboratory of All-Solid-State Battery Eastern Institute for Advanced StudyEastern Institute of TechnologyNingboZhejiang315201China Department of Physics Southern University of Science and TechnologyShenzhen518055China

Lithium(Li)oxyhalides have emerged as promising solid electrolyte candidates for all-solid-state batteries(ASSBs)due to their superior ionic conductivity and excellent cathode ***,the mechanism of Li transport in oxyhalides has remained unclear due to the complex nature of these compounds,which often comprise multiple phases such as crystalline and amorphous structures.

关键词： conduction lithium solid

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Decentralized Federated Learning Algorithm Under Adversary Eavesdropping

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 448-456页

作者： Lei Xu Danya Xu Xinlei Yi Chao Deng Tianyou Chai Tao Yang the State Key Laboratory of Synthetical Automation for Process Industries Northeastern University the Department of Mechanical Engineering University of Victoria Shanghai Institute of Intelligent Science and Technology Tongji University IEEE the Institute of Advanced Technology Nanjing University of Posts and Telecommunications

In this paper, we study the decentralized federated learning problem, which involves the collaborative training of a global model among multiple devices while ensuring data *** classical federated learning, the communication channel between the devices poses a potential risk of compromising private information. To reduce the risk of adversary eavesdropping in the communication channel, we propose TRADE(transmit difference weight) concept. This concept replaces the decentralized federated learning algorithm's transmitted weight parameters with differential weight parameters, enhancing the privacy data against eavesdropping. Subsequently, by integrating the TRADE concept with the primal-dual stochastic gradient descent(SGD)algorithm, we propose a decentralized TRADE primal-dual SGD algorithm. We demonstrate that our proposed algorithm's convergence properties are the same as those of the primal-dual SGD algorithm while providing enhanced privacy protection. We validate the algorithm's performance on fault diagnosis task using the Case Western Reserve University dataset, and image classification tasks using the CIFAR-10 and CIFAR-100 datasets,revealing model accuracy comparable to centralized federated learning. Additionally, the experiments confirm the algorithm's privacy protection capability.

关键词： Adversary eavesdropping decentralized federated learning privacy protection stochastic gradient descent

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Brain region-specific roles of brain-derived neurotrophic factor in social stress-induced depressive-like behavior

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Neural Regeneration Research 2025年第1期20卷 159-173页

作者： Man Han Deyang Zeng Wei Tan Xingxing Chen Shuyuan Bai Qiong Wu Yushan Chen Zhen Wei Yufei Mei Yan Zeng Brain Science and Advanced Technology Institute Wuhan University of Science and TechnologyWuhanHubei ProvinceChina Geriatric Hospital Affiliated to Wuhan University of Science and Technology WuhanHubei ProvinceChina School of Public Health Wuhan University of Science and TechnologyWuhanHubei ProvinceChina

Brain-derived neurotrophic factor is a key factor in stress adaptation and avoidance of a social stress behavioral *** studies have shown that brain-derived neurotrophic factor expression in stressed mice is brain region–specific,particularly involving the corticolimbic system,including the ventral tegmental area,nucleus accumbens,prefrontal cortex,amygdala,and *** how brain-derived neurotrophic factor participates in stress processing in different brain regions will deepen our understanding of social stress *** this review,we discuss the expression and regulation of brain-derived neurotrophic factor in stress-sensitive brain regions closely related to the pathophysiology of *** focused on associated molecular pathways and neural circuits,with special attention to the brain-derived neurotrophic factor–tropomyosin receptor kinase B signaling pathway and the ventral tegmental area–nucleus accumbens dopamine *** determined that stress-induced alterations in brain-derived neurotrophic factor levels are likely related to the nature,severity,and duration of stress,especially in the above-mentioned brain regions of the corticolimbic ***,BDNF might be a biological indicator regulating stress-related processes in various brain regions.

关键词： amygdala chronic mild stress chronic social defeat stress corticolimbic system depression hippocampus medial prefrontal cortex nucleus accumbens social stress models ventral tegmental area

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Bulk ultrafine grained microstructures with high thermal stability via intragranular precipitation of coherent particles

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Journal of Materials science & technology 2024年第14期181卷 220-230页

作者： Shenglong Liang Xiaochun Liu Suihe Jiang Huihui Zhu Wei Li Leqing Liu Xiongjun Liu Yuan Wu Xiaobin Zhang Hui Wang Zhaoping Lu Beijing Advanced Innovation Centre for Materials Genome Engineering State Key Laboratory for Advanced Metals and MaterialsUniversity of Science and Technology BeijingBeijing 100083China Yangjiang Branch Guangdong Laboratory for Materials Science and Technology(Yangjiang Advanced Alloys Laboratory)Yangjiang 529500China Institute of Metals College of Materials Science and EngineeringChangsha University of Science&TechnologyChangsha 410000China Liaoning Academy of Materials Shenyang 110000China Inner Mongolia University of science and technology Instrumental Analysis CenterBaotou 014000China

Producing ultrafine-grained(UFG)microstructures with enhanced thermal stability is an important yet challenging route to further improve mechanical properties of structural ***,a high-performance bulk UFG copper that can stabilize even at temperatures up to 750℃(∼0.75 T m,T m is the melting point)was fabricated by manipulating its recrystallization behavior via low alloying of *** of 1 wt.%–1.5 wt.%of Co can trigger quick and copious intragranular clustering of Co atoms,which offers high Zener pinning pressure and pins the grain boundaries(GBs)of freshly recrystallized ul-trafine *** to the fact that the subsequent growth of the coherent Co-enriched nanoclusters was slow,sufficient particles adjacent to GBs remained to inhibit the migration of GBs,giving rise to the UFG microstructure with prominently high thermal *** work manifests that the strategy for pro-ducing UFGs with coherent precipitates can be applied in many alloy systems such as Fe-and Cu-based,which paves the pathway for designing advanced strain-hardenable UFGs with plain compositions.

关键词： Copper alloys Coherent precipitation Ultrafine-grained materials Recrystallization Microstructural stability

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Optimal weight support vector regression ensemble with cluster-based subsampling for electricity price forecasting

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Journal of Intelligent and Fuzzy Systems 2024年第1期1卷 1-16页

作者： Li, Yuerong Zhang, Yuhua Che, Jinxing School of Science Nanchang Institute of Technology Jiangxi Nanchang China Key Laboratory of Engineering Mathematics and Advanced Computing Nanchang Institute of Technology Jiangxi Nanchang China

Accurate prediction of short-term electricity price is the key to obtain economic benefit and also an important index of power system planning and management. Support vector regression (SVR) based ensemble works have gained remarkable achievements in terms of high accuracy and steady performance, but they are highly dependent on data representativeness and have a high computational complexity O (k ∗ N 3) of data samples and parameter selection. To further improve the data representativeness and reduce its computational complexity, this paper develops a new approach to forecast electricity price via optimal weighted ensemble. In the model, the cluster-based subsampling algorithm is proposed to categorize the inputs being seasonally decomposed into several groups, and representative data are drawn from each group in a certain proportion to ensure that each subset trained with SVR has the same representativeness and features. Moreover, the optimal weighted combination method is presented to assign weights to the sub-SVRs to obtain the optimal support vector regression ensemble model (OWSSVRE). The experimental results show that the improved support vector regression ensemble model with the same features and representativeness of the subset has better performance in electricity price forecasting. As a result, it is suitable to support decision making in the energy and other sectors. © 2024 - IOS Press. All rights reserved.

关键词： K-means clustering

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Fine-tuning TitaNet-Large Model for Speaker Anonymization Attacker Systems

Fine-tuning TitaNet-Large Model for Speaker Anonymization At...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Mawalim, Candy Olivia Adila, Aulia Unoki, Masashi Graduate School of Advanced Science and Technology Japan Advanced Institute of Science and Technology Ishikawa Japan

ISBN: (纸本)9798350368741

Speaker anonymization techniques are crucial for safeguarding user privacy in voice-based applications. However, these methods are susceptible to adversarial attacks that can compromise their effectiveness. This paper proposes attacker systems that leverage the power of fine-tuned TitaNet-Large and ECAPA-TDNN models to identify the original speaker from anonymized speech generated by various anonymization methods. Both pre-trained models are renowned for their state-of-the-art ability to extract robust speaker embeddings. Fine-tuning these models with anonymized speech enables them to identify underlying patterns in anonymized speech. We evaluated the proposed attacker systems against multiple anonymization techniques that performed effectively in a series of voice privacy challenges. Our experimental results underscore the effectiveness of the fine-tuned TitaNet-Large model in breaking through these anonymization methods, as indicated by the reduced equal error rate (EER). This highlights the importance of robust and adaptive anonymization strategies to counter such emerging semi-informed threats. © 2025 IEEE.

关键词： attacker model semi-informed speaker anonymization TitaNet-Large voice privacy

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