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In situ preparation of Ag@AgCl/Bio-veins composites and their photocatalytic activity and recyclability

Frontiers of Chemical science and engineering 2023年第7期17卷 906-917页

作者： Min Zou Chao Tan Zhengqiu Yuan Ming Wu Jian Jian Lei Zhang Yan Zhang Zhou Ma Hu Zhou School of Resource&Environment and Safety Engineering Hunan University of Science and TechnologyXiangtan 411201China Key Laboratory of Theoretical Organic Chemistry and Functional Molecules Ministry of EducationFunctional Film Materials Engineering Research Center of Hunan ProvinceHunan Provincial Key Laboratory of Advanced Materials for New Energy Storage and ConversionSchool of Chemistry and Chemical EngineeringHunan University of Science and TechnologyXiangtan 411201China School of Information and Electrical Engineering Hunan University of Science and TechnologyXiangtan 411201China

The industrial application of nano-photocatalysts in wastewater treatment has been severely restricted for a long time due to their difficult separation,poor reusability,and low *** this work,a facile strategy was proposed to enhance the photocatalytic activity and recovery performance of Ag@AgCl *** veins(Bio-veins)with a unique 3D porous construction were used as carriers for the in-situ growth of Ag@AgCl *** electron microscopy results showed that the Ag@AgCl nanoparticles were uniformly loaded on the surface and interior of the Bio-veins,and the size of the Ag@AgCl nanoparticles immobilized on the Bio-veins(50–300 nm)was significantly smaller than Ag@AgCl obtained by the co-precipitation method(1–3μm).The Bio-veins played a vital role in the photocatalysis reaction *** degradation efficiency of the Ag@AgCl/Bio-veins(CI4)was up to 3.50 times as high as pure Ag@***,the composites also exhibited excellent recyclability and stability under both visible and solar *** work provided a suitable strategy for nano-photocatalysts for practical application and may also offer new possibilities for the high-value utilization of biomass materials.

关键词： Ag@AgCl biological veins photocatalytic activity recyclability

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Towards designing high mechanical performance low-alloyed wrought magnesium alloys via grain boundary segregation strategy:A review

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Journal of Magnesium and Alloys 2024年第5期12卷 1774-1791页

作者： Zhi Zhang Jinshu Xie Jinghuai Zhang Xu-Sheng Yang Ruizhi Wu Key Laboratory of Superlight Material and Surface Technology Ministry of EducationCollege of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001China State Key Laboratory of Ultra-Precision Machining Technology Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518060China

Low-alloyed magnesium(Mg)alloys have emerged as one of the most promising candidates for lightweight ***,their further application potential has been hampered by limitations such as low strength,poor plasticity at room temperature,and unsatisfactory *** address these challenges,grain refinement and grain structure control have been identified as crucial factors to achieving high performance in low-alloyed Mg *** effective way for regulating grain structure is through grain boundary(GB)*** review presents a comprehensive summary of the distribution criteria of segregated atoms and the effects of solute segregation on grain size and growth in Mg *** analysis encompasses both single element segregation and multi-element co-segregation behavior,considering coherent interfaces and incoherent ***,we introduce the high mechanical performance low-alloyed wrought Mg alloys that utilize GB segregation and analyze the potential impact mechanisms through which GB segregation influences materials *** upon these studies,we propose strategies for the design of high mechanical performance Mg alloys with desirable properties,including high strength,excellent ductility,and good formability,achieved through the implementation of GB *** findings of this review contribute to advancing the understanding of grain boundary engineering in Mg alloys and provide valuable insights for future alloy design and optimization.

关键词： Magnesium alloys Grain boundary segregation High strength High plasticity High formability

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A Comparative Study on Deep Learning based Segmentation Techniques for Tamil Inscriptions 8

A Comparative Study on Deep Learning based Segmentation Tech...

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Poornimathi, K. Muralibhaskaran, V. Priya, L. Rajalakshmi Engineering College Department of Computer Science and Business Systems India Rajalakshmi Engineering College Department of Computer Science and Engineering India Rajalakshmi Engineering College Department of Information Technology India

ISBN: (纸本)9798350376425

The digitization and preservation of Tamil inscriptions are crucial for safeguarding the rich cultural heritage they represent. This study presents an in-depth evaluation of deep learning-based segmentation methods specifically designed for the complex and ancient Tamil script. Evaluate several cutting-edge deep learning models, including Convolutional Neural Networks (CNNs), Fully Convolutional Networks (FCNs), U-Net, and attention-based mechanisms, using a dataset of Tamil inscriptions. The evaluation criteria encompass segmentation accuracy, computational efficiency, and the ability to handle the noise and degradation common in historical artifacts. Our findings indicate that traditional methods often falter when faced with the complexities of Tamil script, whereas advanced deep learning techniques markedly enhance segmentation quality. This improvement facilitates more precise transcription and analysis. The comparison emphasizes the benefits and challenges of each method, delivering important insights into their effectiveness for cultural heritage preservation and paving the way for future research in the digitization of ancient scripts. © 2024 IEEE.

关键词： Convolutional neural networks

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Flexible, Super-stable, and Multifunctional Capacitive Pressure Sensors with Tilted Micropillar Array by Inclined Laser Ablation and Demolding

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IEEE Sensors Journal 2025年第6期25卷 9367-9374页

作者： Xu, Tianlong Li, Kaixin Zhou, Yihao Zhang, Dawei Sheng, Bin College of Optical Electrical and Computer Engineering Unversity of Shanghai for Science and Technology Shanghai 200093 China. Shanghai Key Laboratory of Modern Optical Systems Engineering Research Center of Optical Instruments and System Shanghai 200093 China

Flexible capacitive pressure sensors have garnered considerable interest across diverse applications, including medical monitoring, electronic skin, and robotic tactile systems, owing to their straightforward fabrication process, low energy consumption, and robust stability. In this paper, we introduce a new inclined laser ablation (ILA) combined with demolding technique for the fabrication of flexible capacitive sensors featuring a microstructured dielectric layer composed of a tilted micropillar array (TMA). The design parameters of TMA were systematically optimized, including the tilt angle of the micropillars, array gap, aspect ratio, and bottom film thickness. The resulting capacitive pressure sensor, equipped with 75° tilted micropillar arrays (aspect ratio of 5:1), demonstrates exceptional sensitivity (1.12 kPa-1) within the low-pressure range (0-2 kPa), rapid response and recovery times, a low pressure detection limit of 0.25 Pa, and transient response stability factor as high as 243.9. The proposed capacitive pressure sensor was validated for the detection and recognition of human motions when attached to various body parts. Additionally, the sensors also demonstrated significant potential for diverse applications, including tactile sensing, and Morse code communication. © 2025 IEEE.

关键词： Aspect ratio

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LSTM-based Forecasting using Policy Stringency and Time-varying Parameters of the SIR Model for COVID-19 19

LSTM-based Forecasting using Policy Stringency and Time-vary...

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19th IEEE International Colloquium on Signal Processing and Its Applications, CSPA 2023

作者： Maniamfu, Pavodi Kameyama, Keisuke University of Tsukuba Degree Programs in Systems and Information Engineering Graduate School of Science and Technology Tsukuba Japan University of Tsukuba Faculty of Engineering Information and Systems Tsukuba Japan

ISBN: (纸本)9781665476928

Accurate forecasting of the number of infections is an important task that can allow health care decision makers to allocate medical resources efficiently during a pandemic. Two approaches have been combined, a stochastic model by Vega et al. for modelling infectious disease and Long Short-Term Memory using COVID-19 data and government's policies. In the proposed model, LSTM functions as a nonlinear adaptive filter to modify the outputs of the SIR model for more accurate forecasts one to four weeks in the future. Our model outperforms most models among the CDC models using the United States data. We also applied the model on the Canadian data from two provinces, Saskatchewan and Ontario where it performs with a low mean absolute percentage error. © 2023 IEEE.

关键词： COVID-19

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Atomically precise Au_(25)(GSH)_(18)nanoclusters versus plasmonic Au nanocrystals:Evaluating charge impetus in solar water oxidation

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Chinese Chemical Letters 2023年第6期34卷 195-199页

作者： Qiao-Ling Mo Xiao-Cheng Dai Yang Xiao Fang-Xing Xiao College of Materials Science and Engineering Fuzhou UniversityNew CampusMinhou 350108China Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350108China

Atomically precise metal nanoclusters(NCs)have been deemed as an emerging class of metal nanomaterials owing to fascinating size-dependent physicochemical properties,discrete energy band structure,and quantum confinement effect,which are distinct from conventional metal nanoparticles(NPs).Nevertheless,metal NCs suffer from photoinduced self-oxidative aggregation accompanied by in-situ transformation to metal NPs,markedly reducing the photosensitization of metal ***,maneuvering the generic instability of metal NCs,we perform the charge transport impetus comparison between atomically precise metal NCs and plasmonic metal NPs counterpart obtained from in-situ self-transformation of metal NCs in photoelectrochemical(PEC)water splitting *** conceptual demonstration,we proposed two quintessential heterostructures,which include TNTAs-Au_(25)heterostructure fabricated by electrostatically depositing glutathione(GSH)-protected Au_(25)(GSH)_(18)NCs on the TiO_(2)nanotube arrays(TNTAs)substrate,and TNTAs-Au heterostructure constructed by triggering self-transformation of Au_(25)(GSH)_(18)NCs to plasmonic Au NPs in TNTAs-Au_(25)via *** results indicate that photoelectrons produced over Au_(25)NCs are superior to hot electrons of plasmonic Au NPs in stimulating the interracial charge transport toward solar water *** is mainly ascribed to the significantly accelerated carrier transport kinetics,prolonged carrier lifespan,and substantial photosensitization effect of Au_(25)NCs compared with plasmonic Au NPs,resulting in the considerably enhanced PEC water splitting performance of TNTAs-Au_(25)relative to plasmonic TNTAs-Au counterpart under visible light *** work would provide important implications for rationally designing atomically precise metal NCsbased photosystems toward solar energy conversion.

关键词： Metal nanoclusters Surface Plasmon resonance Interfacial charge transfer Photoelectrochemical water splitting

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Mobile Edge Computing for Multi-Services Digital Twin-Enabled IoT Heterogeneous Networks

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IEEE Transactions on Cognitive Communications and Networking 2024年第3期11卷 1845-1853页

作者： Liu, Weiqi Hossain, Mohammad Arif Ansari, Nirwan Auburn University at Montgomery Department of Computer Science and Computer Information Systems MontgomeryAL36117 United States Middle Tennessee State University Department of Engineering Technology MurfreesboroTN37132 United States New Jersey Institute of Technology Advanced Networking Laboratory Department of Electrical and Computing Engineering NewarkNJ07102 United States

A scheme for edge computing-enabled offloading in a digital twin (DT) enabled heterogeneous network (HetNet) of multi-services IoT devices (IDs) is proposed. This scheme optimizes the association and handover of IDs, offloading ratio, and resource allocation considering the number of IDs, deadline requirements, and resource capacities. The objective is to enhance future generation networks by considering the ID movement, diverse ID requests, and network heterogeneity. We formulate the problem as Joint ID assOciatIon, offloadiNg ratio, Wireless bandwidth and computIng reSource allocation, and digital twin placEment (JOINWISE), aiming to minimize the task completion time of all IDs while considering ID movement. Since JOINWISE is a mixed-integer nonlinear problem, we decompose it into two sub-problems: the ID Association (IDA) problem and the offloading Ratio, DT plAcement, bandwiDth and computIng resource allOcation (RADIO) problem. IDA can be solved by mapping it to a multi-dimensional multiple knapsacks problem. Due to the non-convexity, high dimension of decision variables, and dynamic HetNet environment of RADIO, we propose a deep deterministic policy gradient (DDPG) based reinforcement learning method to iteratively solve the two sub-problems. Simulation results have confirmed the effectiveness of our proposed scheme in tackling the JOINWISE problem. © 2015 IEEE.

关键词： Mobile edge computing

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A Federated Named Entity Recognition Model with Explicit Relation for Power Grid

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Computers, Materials & Continua 2023年第5期75卷 4207-4216页

作者： Jingtang Luo Shiying Yao Changming Zhao Jie Xu Jim Feng State Grid Sichuan Economic Research Institute ChengduChina School of Computer Science Chengdu University of Information TechnologyChengduChina School of Information and Communication Engineering University of Electronic Science and Technology of China ChengduChina Amphenol Global Interconnect Systems San JoseCA 95131USA

The power grid operation process is complex,and many operation process data involve national security,business secrets,and user ***,labeled datasets may exist in many different operation platforms,but they cannot be directly shared since power grid data is highly *** to use these multi-source heterogeneous data as much as possible to build a power grid knowledge map under the premise of protecting privacy security has become an urgent problem in developing smart ***,this paper proposes federated learning named entity recognition method for the power grid field,aiming to solve the problem of building a named entity recognition model covering the entire power grid process training by data with different security *** decompose the named entity recognition(NER)model FLAT(Chinese NER Using Flat-Lattice Transformer)in each platform into a global part and a local *** local part is used to capture the characteristics of the local data in each platform and is updated using locally labeled *** global part is learned across different operation platforms to capture the shared NER *** local gradients fromdifferent platforms are aggregated to update the global model,which is further delivered to each platform to update their global *** on two publicly available Chinese datasets and one power grid dataset validate the effectiveness of our method.

关键词： Power grid named entity recognition federal learning

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Pressure-induced superconductivity in the topological crystalline insulator NaCd4As3

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Physical Review B 2024年第6期110卷 L060509-L060509页

作者： Haiyang Yang Yonghui Zhou Jing Wang Shuyang Wang Chao An Ying Zhou Xuliang Chen Lili Zhang Xiaoping Yang Zhaorong Yang Anhui Key Laboratory of Low-Energy Quantum Materials and Devices Science Island Branch of Graduate School Institute of Advanced Magnetic Materials College of Materials and Environmental Engineering Institutes of Physical Science and Information Technology Shanghai Advanced Research Institute

Recently, a united symmetry-protected topological crystalline insulator (TCI) NaCd4As3 has been discovered experimentally, which further features a temperature-driven transformation from TCI to TI due to the mirror symmetry broken across a rhombohedral-to-monoclinic structural transition. Here, we report the pressure tuning of structural property and emergence of superconductivity in TCI NaCd4As3 by comprehensive high-pressure experiments in diamond-anvil cell. Temperature-dependent Raman measurements show that the structural transition temperature gradually reduces upon compression and is completely suppressed above ∼4 GPa. The stable rhombohedral phase further undergoes amorphization evidenced by synchrotron x-ray-diffraction result, which sets in at 20.7 GPa and completes at 34.4 GPa. Along with the complete amorphization, the metallization and superconductivity with a critical temperature Tc∼2.5 K appear simultaneously, as observed in transport experiments. We argue that the sudden enhancement in Tc across 60.0 GPa is likely related to the pressure-driven amorphous polymorphism. Our finding unravels the fundamental structure-property relationship and highly tunable crystallographic symmetry in NaCd4As3 by external pressure, potentially sparking further investigations via alternative tuning strategies.

关键词： Phase transitions Pressure effects Superconductivity Crystalline systems Topological materials Pressure techniques

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Local chemical ordering coordinated thermal stability of nanograined high-entropy alloys

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Rare Metals 2023年第5期42卷 1645-1655页

作者： Hong-Hui Wu Lin-Shuo Dong Shui-Ze Wang Gui-Lin Wu Jun-Heng Gao Xu-Sheng Yang Xiao-Ye Zhou Xin-Ping Mao Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing100083China Yangjiang Branch Guangdong Laboratory for Materials Science and Technology(Yangjiang Advanced Alloys Laboratory)Yangjiang529500China Department of Industrial and Systems Engineering The Hong Kong Polytechnic UniversityKowloon999077Hong KongChina Guangdong Province Key Laboratory of Durability for Marine Civil Engineering School of Civil EngineeringShenzhen UniversityShenzhen518060China

Nanograined(NG)materials often suffer from low thermal stability owing to the high volume fraction of grain boundaries(GBs).Herein,we investigate the possibility of utilizing local chemical ordering(LCO)for improving the thermal stability of NG FeCoNiCrMn highentropy alloys(HE As).NG HE As with two different grain sizes were *** tests and creep test simulations were then performed to reveal the influence of LCO on the mechanical properties and thermal stability of NG HE *** performing hybrid molecular dynamics and Monte Carlo simulations,Cr atoms were found to accumulate at *** analyzing the atomic structure evolution during the deformation process,we found that the formation of LCO effectively stabilized the GBs and inhibited GB *** addition,dislocation nucleation from GBs and dislocation movement was also *** inhibiting effect of LCO on GB movement and dislocation activity is more prominent than in the NG model with smaller grain *** current simulation results suggest a possible strategy for enhancing the thermal stability of NG HEAs for service in a high-temperature environment.

关键词： High-entropy alloys(HEAs) Local chemical ordering(LCO) Molecular dynamics(MD)simulation Monte Carlo(MC)approach

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