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SSrN 2024年

作者： Luo, Yimeng Jiang, Qin Liu, Jinkun Huang, Feiyan Liao, Xuelin Zhuang, Jianle Hu, Chaofan Zheng, Mingtao Lei, Bingfu He, Jiangling Liu, Yingliang Key Laboratory for Biobased Materials and Energy Ministry of Education Guangdong Provincial Engineering Technology Research Center for Optical Agriculture College of Materials and Energy South China Agricultural University Guangzhou510642 China National R&D Center for Se-rich Agricultural Products Processing Hubei Engineering Research Center for Deep Processing of Green Se-rich Agricultural Products School of Modern Industry for Selenium Science and Engineering Wuhan Polytechnic University Wuhan430023 China

The luminescence process of carbon dots (Cds) is typically influenced by spin-forbidden transition, triplet exciton quenching, and non-radiative transition. Thus, it faces great challenges to achieve efficient and ultra-long lifetime afterglow for Cds. The commonly employed strategy to obtain efficient afterglow performance of Cds is to encapsulate Cds into a rigid matrix to protect the afterglow signal from quenching. Generally, the ultra-long lifetime and excellent luminescent properties of inorganic rTP (room temperature phosphorescence) nanomaterials attribute to the slow release of electrons trapped in defect states of the surfaces. This capture-release mechanism has advanced afterglow lifetime of Cds towards longer levels via the design of defect states. Anchoring Cds onto a rigid matrix can preserve the rigid structure for the restrictive effect, and also can create structural defects. Herein, as-prepared rHCds@SiO2 composite can exhibit an ultra-long afterglow lifetime of 7.76 s, which is the highest value achieved for Cds in silica matrix to date. This composite is also successfully applied in anti-counterfeiting and cell imaging fields. The synergistic multiple confinement effect and defect effect from the composite provides a universal strategy to design and achieve the ultra-long afterglow lifetime of Cds. © 2024, The Authors. All rights reserved.

关键词： Chemical activation

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Enhancement of the Magnetic Properties of Fe-Si-Cr Soft Magnetic Composite by Selective Oxidation Annealing

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SSrN 2022年

作者： Park, Jae-Young Park, Kwangsuk Fadonougbo, Julien O. Jang, Kyung rok Park, Sun dong Park, Chang-Soo Mo, Chan Bin Hwang, Nong-Moon Park, Hyung-Ki Functional Materials and Components R&D Group Korea Institute of Industrial Technology Gangneung 25440 Korea Republic of Department of Materials Science and Engineering Seoul National University Seoul08826 Korea Republic of R&D Center TODAISU Corporation Wonju26362 Korea Republic of

In this study, we examined the possibility for the surface insulation of Fe-3Si-5.5Cr powders through the selective oxidation annealing. To form an insulation oxide layer on the powder surface, the heat treatment was performed in an atmosphere in which Fe is reduced while Cr and Si are selectively oxidized. The oxidation potential was controlled by the [[EQUATION]] ratio and the powders were annealed at 600 ℃ under a [[EQUATION]] of 41.8. As the selective oxidation annealing time increased, the oxygen concentration of the powders was increased, and accordingly, the surface oxide layer thickened. To investigate the possibility of improving insulation and magnetic properties by the selective oxidation, disk and toroidal core samples were prepared. The powder without the selective oxidation treatment was subjected to wet chemical coating process for the insulation and after that it was mixed with the binder. On the other hand, the selectively oxidized powder was only mixed with the binder without an additional insulation coating. After mixing the powders with the binder, they were press molded to disk and toroidal core samples. The insulation property of the disk samples was compared in terms of withstanding voltage, which turned out to be improved by the selective oxidation. Magnetic properties were assessed by measuring the inductance, permeability, and quality factor of the toroidal core samples. The magnetic properties of the cores prepared using the selectively oxidized powders were superior to those prepared by wet chemical coating process. These results confirmed that a uniform insulating oxide layer could be formed on the Fe-Si-Cr powder surface by the selective oxidation, and this leads to the improvement of the magnetic properties of the cores. © 2022, The Authors. All rights reserved.

关键词： Powders

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CoIn2S4/rGO Composite as Anode Materials for Li-Ion Batteries

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SSrN 2022年

作者： Lee, Ting-Yu Liu, Wei-ren Department of Chemical Engineering Chung Yuan Christian University R&D Center for Membrane Technology Center for Circular Economy 200 Chung Pei Road Chungli District Taoyuan City32023 Taiwan

In this study, we proposed a novel CoIn2S4/reduced graphene oxide composite anode (CoIn2S4/rGO) by a hydrothermal method. Via introducing electronic-conductive reduced graphene oxide (rGO) to buffer the dramatically volume expansion of CoIn2S4 and avoid its polysulfide dissolution during charge and discharge processes. The pristine CoIn2S4 electrode demonstrated poor cycle performance of only 120 mAh/g at 0.1 A/g after 100 cycles. The composition-optimized CoIn2S4/rGO composite anode exhibited much better reversible capacity of 580 mAh/g after 100 cycles, which was much higher than that of commercial graphite (372 mAh/g). Moreover, the reaction mechanism and electrochemical behavior of CoIn2S4/rGO electrode was conducted by ex-situ Xrd measurements. The results indicated that CoIn2S4/rGO composite anode was a promising candidate as an anode material for lithium ion battery applications. © 2022, The Authors. All rights reserved.

关键词： Anodes

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Mesoporous Collapsing Encapsulated Carbon dots: direct Evidence for the Effect of Multiple-Confined Interactions of Silica on Efficient Long-Lived Phosphorescence

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SSrN 2024年

作者： Luo, Yimeng Jiang, Qin Liu, Jinkun Yang, Hongwei Liao, Xuelin Huang, Feiyan Zhuang, Jianle Hu, Chaofan Lei, Bingfu Liu, Yingliang He, Jiangling Key Laboratory for Biobased Materials and Energy of Ministry of Education Guangdong Provincial Engineering Technology Research Center for Optical Agriculture College of Materials and Energy South China Agricultural University Guangzhou510642 China National R&D Center for Se-rich Agricultural Products Processing Hubei Engineering Research Center for Deep Processing of Green Se-rich Agricultural Products School of Modern Industry for Selenium Science and Engineering Wuhan Polytechnic University Wuhan430023 China

Coupling with a matrix is the common strategy to improve the phosphorescence performance of carbon dots (Cds). However, there is a lack of clear and direct evidence about the formation mechanism of the inner relationship between Cds and matrix, and the specific effect of matrix on the phosphorescence performance. Mesoporous silica nanospheres (MSNs) were used as the research model to provide the direct evidence of the dense structure formation process and to construct a quantum chemical theoretical computational model of the effect of dense matrix on phosphorescence performance. due to the multiple domain-limiting effects of rigid Si-C covalent bonds and SiO2 dense structure, the calcined-carbonized polymer dots-mesoporous silica nanospheres (C-CPds-MSNs) can exhibit thermally activated delayed fluorescence (TAdF) by tuning the HOMO-LUMO gap and enriching the electrons in the surface region. With a long lifetime of 3.07 s, the composite can also maintain stable phosphorescence performance under harsh conditions and has been successfully applied in multilevel information encryption, fingerprint identification, and cellular imaging. This work provides the direct evidence for the process of dense SiO2 structure enhancing the phosphorescence performance of Cds and offers a general strategy and method for the design and preparation of efficient and practical Cds-based phosphorescent materials. © 2024, The Authors. All rights reserved.

关键词： Silica

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Hydrolysis Co-deposition of Bio-Inspired Hybrid Hydrophilic Network Antifouling Loose Nanofiltration Membrane for Effective dye/Salt Separation

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SSrN 2023年

作者： Tong, Yi-Hao Wu, Yu-Zhe Xu, Zhen-Liang Luo, Li-Han Jia, rui Han, rui Xu, Sun-Jie State Key Laboratory of Chemical Engineering Membrane Science and Engineering R&D Lab Chemical Engineering Research Center School of Chemical Engineering East China University of Science and Technology Shanghai200237 China School of Materials Science and Engineering East China University of Science and Technology Shanghai200237 China Shanghai Electronic Chemicals Innovation Institute East China University of Science and Technology Shanghai200237 China

Nowadays, loose nanofiltration (LNF) membranes with effective filtration performance toward textile wastewater have drawn intensive attention. In this work, a high-performance LNF membrane was prepared via fast co-deposition of bio-inspired TA-based hydrophilic coating with in-situ hydrolysis of tetra butyl titanate (TBT) on polyethersulfone (PES) substrate. Various additives containing amino acid (L(+)-Arginine) and silane coupling agent (KH792) were mixed in the coating solution and researched their synergistic effects during membrane preparation. In-situ growth of TiO2 and co-deposition of TA-based coating endowed the LNF membrane with a uniformly rough hydrophilic surface. Therefore, the optimal LNF membrane showed a significantly high pure water permeability (92.9 L·m-2·h-1·bar-1) with high rejection (>99.0 %) in treating negatively charged dyes including Eriochrome Black T, Congo red, Chlorazol Black T, and Coomassie Brilliant Blue G. Meanwhile, low rejections for inorganic salts (Na2SO4: 7.9 %, NaCl: 2.5 %, MgCl2: 2.8%, MgSO4: 7.3%) were reached, and it kept distinguished separation performance in dealing with highly saline dye wastewater (containing 50 g·L-1 NaCl and Na2SO4, respectively). Beyond that, the membrane had excellent antifouling properties with low flux decline of multiple model pollutants and long-term stability during separation dye/salt mixture, which revealed the LNF membrane prepared promising potential in actual textile wastewater treatment. © 2023, The Authors. All rights reserved.

关键词： Coatings

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Self-surface heating membrane distillation for sustainable production of freshwater: A state of the art overview

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Progress in Materials Science 2024年 145卷

作者： Subrahmanya, T.M. Austria, Hannah Faye M. Chen, Yi-Yun Setiawan, Owen Widakdo, Januar Kurkuri, Mahaveer d. Hung, Wei-Song Hu, Chien-Chieh Lee, Kueir-rarn Lai, Juin-Yih Advanced Membrane Materials Research Center Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Physics Faculty of Mathematics and Natural Sciences Universitas Indonesia Depok16424 Indonesia Jain Global Campus Karnataka Bengaluru562112 India R&D Center for Membrane Technology Chung Yuan University Chung-Li 32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

Shortage of freshwater is a global challenge related to population growth, changes in climate conditions and industrial and agricultural needs. Thus, sustainable freshwater production through desalination and wastewater treatment is essential for various human purposes. Membrane distillation (Md) is a recent thermal driven membrane based purification technology with capability to eliminate the limitations of traditional desalination technologies by a synergistic exploitation of the nexus between water and energy. Though Md is recognized as an ecofriendly technology, input heat energy utilization and its efficient management remains a challenge influencing the economic viability of the technology and hindering its realistic applications. To solve this problem, it requires an integrative approach involving materials chemistry, physical chemistry, polymer science, and materials engineering. In addition to the use of robust wetting and fouling resistant membranes, employing the newly developed self-surface heating membranes such as photothermal, joule heating and induction heating membranes have not only minimized energy requirement and fouling issues of Md technology but also enabled it to be considered as potential and economically viable approach for producing high-quality freshwater with negligible carbon footprint. Specifically, recent studies on self-surface heating membranes, utilizing nanomaterials with photothermal, conductive, and magnetic properties, have revealed new possibilities for renewable energy utilization in Md technology. Through direct irradiation or photovoltaic energy conversion, nanomaterial-integrated membranes significantly enhance Md's energy efficiency and productivity without compromising cost-effectiveness, opening avenues for sustainable desalination and water purification technologies. Here, we furnish a comprehensive state of the art overview on (1) the progress of conventional antifouling Md membranes and (2) the opportunities, challen

关键词： desalination

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Cloud-magnetic resonance imaging system:In the era of 6G and artificial intelligence

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Magnetic resonance Letters 2025年第1期5卷 52-63页

作者： Yirong Zhou Yanhuang Wu Yuhan Su Jing Li Jianyu Cai Yongfu You Jianjun Zhou di Guo Xiaobo Qu Department of Electronic Science Intelligent Medical Imaging R&D CenterFujian Provincial Key Laboratory of Plasma and Magnetic ResonanceNational Institute for Data Science in Health and MedicineXiamen UniversityXiamen361104China Department of Electronic Science Key Laboratory of Digital Fujian on IoT CommunicationXiamen UniversityXiamen361104China Shanghai Electric Group Co. LtdShanghai200002China China Telecom Group Quanzhou362018China China Mobile Group Xiamen361009China Department of Radiology Zhongshan Hospital(Xiamen)Fudan UniversityXiamen Municipal Clinical Research Center for Medical ImagingFujian Province Key Clinical Specialty Construction Project(Medical Imaging Department)Xiamen Key Laboratory of Clinical Transformation of Imaging Big Data and Artificial IntelligenceXiamen361006China School of Computer and Information Engineering Xiamen University of TechnologyXiamen361024China

Magnetic resonance imaging(MrI)plays an important role in medical diagnosis,generating petabytes of image data annually in large *** voluminous data stream requires a significant amount of network bandwidth and extensive storage ***,local data processing demands substantial manpower and hardware *** isolation across different healthcare institutions hinders crossinstitutional collaboration in clinics and *** this work,we anticipate an innovative MrI system and its four generations that integrate emerging distributed cloud computing,6G bandwidth,edge computing,federated learning,and blockchain *** system is called Cloud-MrI,aiming at solving the problems of MrI data storage security,transmission speed,artificial intelligence(AI)algorithm maintenance,hardware upgrading,and collaborative *** workflow commences with the transformation of k-space raw data into the standardized Imaging Society for Magnetic resonance in Medicine raw data(ISMrMrd)***,the data are uploaded to the cloud or edge nodes for fast image reconstruction,neural network training,and automatic ***,the outcomes are seamlessly transmitted to clinics or research institutes for diagnosis and other *** Cloud-MrI system will save the raw imaging data,reduce the risk of data loss,facilitate inter-institutional medical collaboration,and finally improve diagnostic accuracy and work efficiency.

关键词： Magnetic resonance imaging Cloud computing 6G bandwidth Artificial intelligence Edge computing Federated learning Blockchain

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reduced Graphene Oxide-Wrapped Novel Coin2s4 Spinel Composite Anode Materials for Li-Ion Batteries

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SSrN 2022年

This study proposed a novel CoIn2S4/reduced graphene oxide composite anode (CoIn2S4/rGO) using a hydrothermal method. By introducing electronic-conductive reduced graphene oxide (rGO) to buffer the extreme volume expansion of CoIn2S4 and prevent its polysulfide dissolution during lithiation/de-lithiation. At the 100th cycle, the pure CoIn2S4 electrode demonstrated poor cycle performance of only 120 mAh/g at a current density of 0.1 A/g. However, at the 100th cycle, the composition-optimized CoIn2S4/rGO composite anode demonstrated a reversible capacity of 580 mAh/g, an improvement of more than 4.83 times. In addition, ex-situ Xrd measurements were conducted to determine the reaction mechanism and electrochemical behavior of the CoIn2S4/rGO electrode. These results suggested that the CoIn2S4/rGO composite anode is a promising material for lithium-ion battery anodes. © 2022, The Authors. All rights reserved.

关键词： Anodes

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Estimating Smart Grid Stability with Hybrid rNN+LSTM deep Learning Approach

Estimating Smart Grid Stability with Hybrid RNN+LSTM Deep Le...

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International Smart Grid Workshop and Certificate Program (ISGWCP)

作者： Saadin Oyucu Şeref Sağıroğlu Ahmet Aksöz Emre Biçer Department of Computer Engineering Faculty of Engineering Adıyaman Türkiye Gazi University Artificial Intelligence and Big Data Analytics Security R&D Center Ankara Türkiye Mobilers Team Sivas Cumhuriyet University Sivas Türkiye Faculty of Engineering and Natural Sciences Battery Research Laboratory Sivas University of Science and Technology Sivas Türkiye

ISBN: (数字)9798350361612

ISBN: (纸本)9798350361629

Smart grids are faced with a range of challenges, such as the development of communication infrastructure, cybersecurity threats, data privacy, and the protection of user information, due to their complex structure. Another key challenge faced by smart grids is the stability issues arising from variable energy sources and consumption patterns. In these complex grid systems where energy demand and supply need to be balanced instantly, stability predictions play a significant role in foreseeing potential disruptions and optimizing energy flow. Therefore, within the scope of this study, a hybrid structure utilizing recurrent Neural Networks (rNN) and Long Short-Term Memory (LSTM) networks is employed for stability classification to predict grid stability. This hybrid model combines the ability of rNN to recognize relationships between consecutive data points with LSTM’s capability to preserve long-term dependencies. The results obtained indicate that the model exhibited stable performance with accuracy rates of 98.06% and 98.02% at 50 and 100 epochs, respectively. The findings of this study contribute valuable insights to research on the management and stability of smart grids, enabling energy systems to be operated more reliably and efficiently.

关键词： deep learning data privacy recurrent neural networks Power system stability Stability analysis data models Smart grids

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Fabrication of polydopamine functionalized AgNF SErS substrate: Applications for sensitive detection of nivalenol in food samples and cell biocompatibility

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Colloids and Surfaces A: Physicochemical and engineering Aspects 2024年 688卷

作者： Kitaw, Sintayehu Leshe Wondosen Ahmed, Yohannis Thankachan, darieo Candra, Andy Wu, Tsung-Yun Anley, Beyadgalem Endawoke Gou, Yu-Xuan Chen, Ying-Yu Cheng, Yu-Ting Birhan, Yihenew Simegniew Chen, Kuan-Ju Tsai, Hsieh-Chih Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan Advanced Membrane Materials Center National Taiwan University of Science and Technology Taipei10607 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan Chungli320 Taiwan Department of Material Science and Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Chemistry College of Natural and Computational Sciences Debre Markos University P.O. Box 269 Debre Markos Ethiopia

Surface-enhanced raman spectroscopy (SErS) is a robust analytical tool applicable for the quick and accurate determination of mycotoxins. However, there hasn't been any attempt to use SErS for the quantitative detection of nivalenol (NIV) thus far. To improve the raman signals of NIV, we fabricated a polydopamine-coated silver nanoflower (PdA-AgNFs) SErS substrate with strong "hot-spots". The PdA-AgNFs substrates showed superior SErS enhancement activities in the target analyte detection and quantification. It produced good substrate uniformity (relative standard deviation of SErS signals, rSd = 4.1% for substrate-to-substrate test, and 3.24% for spot-to-spot test), an enhancement factor of 2.87 × 106 towards rhodamine 6B (r6G), and detection sensitivity as low as 1 femtomolar (10−15 M) against r6G probe molecule. Moreover, the PdA-AgNFs SErS substrates were successfully used, for the first time, to detect NIV in corn, horse beans, and mushroom samples. The calibration curve showed a satisfactory linear fit based on the SErS intensities of different NIV concentrations. The detection limit (LOd) for the suggested approach was 0.22 nM (S/N = 3). Interestingly, the MTT assay experiment demonstrated that PdA-AgNFs had no toxicity against mammalian NIH-3T3 cells. The biocompatible PdA-AgNFs substrates with intense plasmonic effects and binding sites demonstrated impressive raman enhancement, and could serve as an effective, label-free, and fast SErS-based analysis of NIV in real samples. © 2024

关键词： Mycotoxins

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