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Retracted: Analysis of Ethanol to Reduce Solid Particle Pollution in SI Engines 撤回:乙醇减少 SI 发动机固体颗粒污染的分析
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-12 DOI: 10.1155/2023/9863702
Journal of Nanomaterials
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引用次数: 0
Retracted: Experimental Study on Surface Roughness and Flank Wear in Turning of Nimonic C263 under Dry Cutting Conditions 撤回:干切削条件下车削镍铬合金 C263 表面粗糙度和侧面磨损的实验研究
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-12 DOI: 10.1155/2023/9789243
Journal of Nanomaterials
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引用次数: 0
Retracted: A Certain Investigation of Nanomaterial-Based Li-Ion Batteries for Electrical Vehicles 撤回:基于纳米材料的电动汽车锂离子电池的特定研究
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-12 DOI: 10.1155/2023/9827085
Journal of Nanomaterials
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引用次数: 0
Retracted: Preparation of Ti Material Supported SBA-15 Functionalized with Sulfonic Acid Environmental Friendly Catalyst: Application for Esterification Process 撤回:制备以磺酸功能化的钛材料为载体的 SBA-15 环保催化剂:在酯化工艺中的应用
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-12 DOI: 10.1155/2023/9782719
Journal of Nanomaterials
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引用次数: 0
Retracted: Emission Measurement Analysis of Sapodilla Seed Oil Blending Fueled IC Engine 撤回:无患子籽油混合燃料集成电路发动机的排放测量分析
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-12 DOI: 10.1155/2023/9837905
Journal of Nanomaterials
{"title":"Retracted: Emission Measurement Analysis of Sapodilla Seed Oil Blending Fueled IC Engine","authors":"Journal of Nanomaterials","doi":"10.1155/2023/9837905","DOIUrl":"https://doi.org/10.1155/2023/9837905","url":null,"abstract":"<jats:p />","PeriodicalId":16442,"journal":{"name":"Journal of Nanomaterials","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81450236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Retracted: Evaluation of Physicothermal Properties of Solar Thermic Fluids Dispersed with Multiwalled Carbon Nanotubes and Prediction of Data Using Artificial Neural Networks 撤回:多壁碳纳米管分散的太阳能热流体的物理热特性评估及人工神经网络数据预测
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-12 DOI: 10.1155/2023/9785712
Journal of Nanomaterials
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引用次数: 0
Retracted: Newly Synthesized Micro-Nano Transition Metal Complexes of Hexadecanoic Acid as Anti-Microbial Agents: Synthesis, Characterization, and Biological Investigations 撤稿:新合成的十六烷酸微纳米过渡金属配合物作为抗微生物剂:合成、表征和生物学研究
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-12 DOI: 10.1155/2023/9896201
Journal of Nanomaterials
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引用次数: 0
Modeling and Optimization of Electrodeposition Process for Copper Nanoparticle Synthesis Using ANN and Nature-Inspired Algorithms 基于人工神经网络和自然启发算法的纳米铜合成电沉积过程建模与优化
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-07 DOI: 10.1155/2023/3431836
A. Tamilvanan, K. Balamurugan, T. Mohanraj, Yesgat Admassu
Due to its outstanding physical, chemical, and thermal properties, an increasing consideration has been paid to produce copper (Cu) nanoparticles (NPs). Various methods are accessible for producing Cu NPs by conceiving the top–down and bottom–up approaches. Electrodeposition is a bottom–up method to synthesize high-quality Cu NPs at a low cost. The attributes of Cu NPs rely on their way of deduction and electrochemical process parameters. This work aims to deduce the mean size of Cu NPs. Artificial neural networks (ANN) and nature-inspired algorithms, namely genetic algorithm (GA), firefly algorithm (FA), and cuckoo search (CS) algorithm were used to predict and optimize the electrochemical parameters. The results obtained from ANN prediction agreed with data from the electrodeposition process. All nature-inspired algorithms reveal similar operating conditions as optimal parameters. The minimum NP size of 20 nm was obtained for the process parameters of 4 g·l−1 of CuSO4 concentration, electrode distance of 3 cm, and a potential difference of 27 V. The synthesized NP size was in line with the anticipated NP size. The scanning electron microscope and X-ray diffractometer (XRD) were performed to analyze the nanoparticle size and morphology.
由于其优异的物理、化学和热性能,制备纳米铜(Cu)越来越受到人们的重视。通过构思自顶向下和自底向上的方法,可以获得多种方法来产生铜纳米粒子。电沉积是一种自下而上、低成本合成高质量铜纳米粒子的方法。铜纳米粒子的性质取决于它们的推导方式和电化学工艺参数。这项工作的目的是推断铜NPs的平均大小。采用人工神经网络(ANN)和自然启发算法,即遗传算法(GA)、萤火虫算法(FA)和布谷鸟搜索算法(CS)对电化学参数进行预测和优化。人工神经网络的预测结果与电沉积过程的数据一致。所有受自然启发的算法都揭示了与最优参数相似的操作条件。当CuSO4浓度为4 g·l−1,电极距离为3 cm,电位差为27 V时,得到的最小NP尺寸为20 nm。合成的NP大小与预期的NP大小一致。利用扫描电子显微镜和x射线衍射仪(XRD)分析了纳米颗粒的大小和形貌。
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引用次数: 0
Fabrication of Visible Light Sensitive Electrospun TiO2 Nanofibers Using Squaric Acid for Photocatalytic Application 用方酸制备可见光敏感静电纺丝TiO2纳米纤维的光催化研究
4区 材料科学 Q2 Materials Science Pub Date : 2023-07-04 DOI: 10.1155/2023/4213684
Eba Mala Maldaye, Sathiesh Kumar Subramaniam
Degradation of organic pollutants using photocatalysts has gained utmost importance, due to the increasing environmental pollution. Despite various attempts to improve the photocatalytic efficiency of well-known photocatalysts such as titanium dioxide (TiO2), by making them visible light active, various issues need to be resolved. In this work, attempts have been made to improve the visible light absorption capacities of the electrospun TiO2 nanofibers by modification using squaric acid (SqA). An interfacial charge transfer complex is formed by the condensation reaction between the hydroxyl groups on the surface of the TiO2 nanofibers and the SqA ligand. Various characterizations confirmed that the modification using SqA had led to the formation of the interfacial charge transfer layer, without affecting the crystallinity or morphology of the TiO2 nanofibers. The modified TiO2 nanofibers showed sensitivity to visible light with red shift in the optical absorption. It exhibited an improved photocatalytic efficiency of 85% against the degradation of tetracycline, compared with 60% for unmodified TiO2 nanofibers. It also showed an increased rate of degradation of 0.21 mg/L/min, when compared with the 0.13 mg/L/min of unmodified TiO2 nanofibers.
随着环境污染的日益严重,利用光催化剂降解有机污染物显得尤为重要。尽管人们试图通过使二氧化钛(TiO2)等知名光催化剂具有可见光活性来提高其光催化效率,但仍有许多问题需要解决。在这项工作中,试图通过使用方酸(SqA)改性来提高静电纺TiO2纳米纤维的可见光吸收能力。TiO2纳米纤维表面的羟基与SqA配体发生缩合反应,形成界面电荷转移配合物。各种表征证实,使用SqA修饰导致了界面电荷转移层的形成,而不影响TiO2纳米纤维的结晶度和形貌。改性后的TiO2纳米纤维对可见光敏感,光吸收发生红移。它对四环素降解的光催化效率提高了85%,而未经改性的TiO2纳米纤维的光催化效率为60%。与未改性TiO2纳米纤维的0.13 mg/L/min相比,改性TiO2纳米纤维的降解率提高了0.21 mg/L/min。
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引用次数: 0
Retracted: Application of TOPSIS Method Combined with Grey Relational Degree in the Selection of Snow-Melting Agent Use Plan 撤回:结合灰色关联度的 TOPSIS 方法在融雪剂使用方案选择中的应用
4区 材料科学 Q2 Materials Science Pub Date : 2023-06-21 DOI: 10.1155/2023/9802876
Journal of Nanomaterials
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引用次数: 0
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Journal of Nanomaterials
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