检索结果-南通市图书馆

Mechanistically Novel Frontal-Inspired In Situ Photopolymerization:An Efficient Electrode|Electrolyte Interface Engineering Method for High Energy Lithium Metal Polymer Batteries

引用

Energy & Environmental Materials 2023年第6期6卷 273-282页

作者： Ishamol Shaji Diddo Diddens Martin Winter Jijeesh Ravi nair Helmholtz-Institute Münster(HI MS) IEK-12Forschungszentrum Jülich GmbHCorrensstr.4648149Münster Germany MEET Battery Research Center Institute of Physical ChemistryUniversity of MünsterCorrensstr.46Münster 48149Germany

The solvent-free in situ polymerization technique has the potential to tailor-make conformal interfaces that are essential for developing durable and safe lithium metal polymer batteries(LMPBs).Hence,much attention has been given to the eco-friendly and rapid ultraviolet(UV)-induced in situ photopolymerization process to prepare solid-state polymer *** this respect,an innovative method is proposed here to overcome the challenges of UV-induced photopolymerization(UV-curing)in the zones where UV-light cannot penetrate,especially in LMPBs where thick electrodes are *** proposed frontal-inspired photopolymerization(FIPP)process is a diverged frontal-based technique that uses two classes(dual)of initiators to improve the slow reaction kinetics of allyl-based monomers/oligomers by at least 50%compared with the conventional UV-curing *** possible reaction mechanism occurring in FIPP is demonstrated using density functional theory calculations and spectroscopic ***,the initiation mechanism identified for the FIPP relies on a photochemical pathway rather than an exothermic propagating front forms during the UV-irradiation step as the case with the classical frontal photopolymerization ***,the FIPP-based in situ cell fabrication using dual initiators is advantageous over both the sandwich cell assembly and conventional in situ photopolymerization in overcoming the limitations of mass transport and active material utilization in high energy and high power LMPBs that use thick ***,the LMPB cells fabricated using the in situ-FIPP process with high mass loading LiFePO_(4)electrodes(5.2 mg cm^(-2))demonstrate higher rate capability,and a 50%increase in specific capacity against a sandwich cell encouraging the use of this innovative process in large-scale solid-state battery production.

关键词： cathodelelectrolyte interface frontal-inspired photopolymerization in situ polymerization lithium metal polymer battery solid polymer electrolyte

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Machine learned interatomic potentials using random features

引用

npj Computational Materials 2022年第1期8卷 48-57页

作者： Gurjot Dhaliwal Prasanth B.nair Chandra Veer Singh Department of Mechanical and Industrial Engineering University of Toronto5 King’s College RdTorontoM5S 3G8ONCanada Institute for Aerospace Studies University of Toronto4925 Dufferin StTorontoM3H 5T6ONCanada Department of Materials Science and Engineering University of Toronto184 College StTorontoM5S 3E4ONCanada

We present a method to model interatomic interactions such as energy and forces in a computationally efficient *** proposed model approximates the energy/forces using a linear combination of random features,thereby enabling fast parameter estimation by solving a linear least-squares *** discuss how random features based on stationary and non-stationary kernels can be used for energy approximation and provide results for three classes of materials,namely two-dimensional materials,metals and *** and energy predictions made using the proposed method are in close agreement with density functional theory calculations,with training time that is 96%lower than standard kernel *** Dynamics calculations using random features based interatomic potentials are shown to agree well with experimental and density functional theory *** frequencies as computed by random features based interatomic potentials are within 0.1%of the density functional theory ***,the proposed random features-based potential addresses scalability issues encountered in this class of machine learning problems.

关键词： random stationary interatomic

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Utilization of residual fatty acids in matter organic non-glycerol from a soy biodiesel plant in filaments used for 3D printing

引用

生物质资源与工程(英文) 2023年第3期8卷 215-223页

作者： Sreesha Malayil Athira nair Surendran Kunal Kate Jagannadh Satyavolu Conn Center for Renewable Energy Research University of LouisvilleLouisville 40292KYUSA Materials Innovation Guild Department of Mechanical EngineeringUniversity of LouisvilleLouisville 40292KYUSA

Matter organic non-glycerol(MONG)is a considerable waste output(20%−25%of crude glyc-erol)typically landfilled by soy biodiesel *** this work,soy MONG was characterized for potential use as a copolymer to produce filaments for 3D printing with an intent to add value and redirect it from *** a copolymer,MONG was evaluated to reduce the synthetic polymer content of the natural fiber composites(NFC).Even though the general thermal behavior of the MONG was compared to that of a thermoplastic polymer in composite applications,it is depen-dent on the composition of the MONG,which is a variable depending on plant discharge *** order to improve the thermal stability of MONG,we evaluated two pretreatments(acid and acid+peroxide).The acid+peroxide pretreatment resulted in a stabilized paste with decreased soap content,increased crystallinity,low molecular weight small chain fatty acids,and a sta-ble blend as a copolymer with a thermoplastic *** treatment increased formic acid(17.53%)in MONG,along with hydrogen peroxide,led to epoxidation exhibited by the increased concentration of oxirane(5.6%)evaluating treated MONG as a copolymer in polymer processing and 3D printing.

关键词： Matter organic non-glycerol Soy biodiesel waste Polymer composite Epoxidation Soap splitting Fatty acid

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Conducting polymer PEDOT:PSS coated Co_(3)O_(4) nanoparticles as the anode for sodium-ion battery applications

引用

Frontiers of Materials Science 2022年第2期16卷 143-152页

作者： Kevin VARGHESE Dona Susan BAJI Shantikumar nair Dhamodaran SANTHANAGOPALAN Centre for Nanosciences Amrita Vishwa VidyapeethamPonekkaraKochi 682041India

Metal oxides are considered as potential anodes for sodium-ion batteries(SIBs).Nevertheless,they suffer from poor cycling and rate ***,we investigate conductive polymer coating on Co_(3)O_(4)nanoparticles varying with different percentages.X-ray diffraction,electron microscopy and surface chemical analysis were adopted to analyze coated and uncoated Co_(3)O_(4)*** polymer,poly(3,4-ethylene dioxythiophene)polystyrene sulfonate(PEDOT:PSS),has been utilized for *** specific capacity and rate capability for an optimal coating of 0.5 wt.%were *** 0.5 wt.%coated sample outperformed the uncoated one in terms of capacity,rate capability and coulombic *** delivered a reversible capacity of 561 mAh·g^(−1)at 100 mA·g^(−1)and maintained a capacity of 318 mAh·g^(−1)at a high rate of 1 A·g^(−1).Increasing the PEDOT:PSS coating percentage led to lower performance due to the thicker coating induced kinetic ***-situ analysis of the 0.5 wt.%coated sample after 100 cycles at 1 A·g^(−1)was characterized for performance *** a simple,cost-effective and wet-chemical approach has not been employed before for Co_(3)O_(4)as the SIB anode.

关键词： Co_(3)O_(4) sodium-ion battery anode conducting polymer surface coating

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Biology of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)and the humoral immunoresponse:a systematic review of evidence to support global policy-level actions and research

引用

Global Health Journal 2022年第1期6卷 38-43页

作者： Shalini nair Xinguang Chen Department of Epidemiology University of Florida2004 Mowry RoadGainesvilleFlorida32610USA

Background Both population-level epidemiological data and individual-level biological data are needed to control the coronavirus disease 2019(COVID-19)***-level data are widely available and efforts to combat COVID-19 have generated proliferate data on the biology and immunoresponse to the causative pathogen,severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).However,there remains a paucity of systemized data on this *** In this review,we attempt to extract systemized data on the biology and immuno-response to SARS-CoV-2 from the most up-to-date peer-reviewed *** will focus on the biology of the virus and immunological variations that are key for determining long-term immunity,transmission potential,and *** Sources and Methods Peer-reviewed articles were sourced from the PubMed database and by snowballing search of selected *** terms included:“Novel Coronavirus”OR“COVID-19”OR“SARS-CoV-2”OR“2019-nCoV”AND“Immunity”OR“Immune Response”OR“Antibody Response”OR“Immunologic Response”.Studies published from December 31,2019 to December 31,2020 were *** ensure validity,papers in pre-print were *** Of 2889 identified papers,36 were *** from these studies suggests early seroconversion in patients infected with *** titers appear to markedly increase two weeks after infection,followed by a plateau.A more robust immune response is seen in patients with severe COVID-19 as opposed to mild or asymptomatic *** trend persists with regard to the length of antibody ***,overall immunity appears to wane within two to three months *** Findings of this study indicate that immune responses to SARS-CoV-2 follow the general pattern of viral *** generated through natural infection appears to be short,suggesting a need for long-term efforts to control the *** testing will be essential to gauge t

关键词： Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) Coronavirus disease 2019(COVID-19) Immunoresponse Antibody Global health Health policy Decision-making Serology testing

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Digital twin in hydrocarbon industry

引用

Petroleum Research 2023年第2期8卷 270-278页

作者： Anirbid Sircar Abhishek nair Namrata Bist Kriti Yadav Centre of Excellence for Geothermal Energy Raisan382007GandhinagarGujaratIndia

The hydrocarbon industry is considering a range of digital technologies to improve productivity,efficiency,and safety of their operations while minimizing capital and operating costs,health and environmental risks,and variability in oil and gas project life *** to the emergence of industry 4.0 the improvement in performance,efficiency,and cost reduction,the hydrocarbon industry is gradually shifting towards solutions that are *** such complex systems involves the analysis of data from various sources at the same *** Twin(DT)modelling is the foundation for the next generation of real-time production monitoring and optimization *** is a solution that boosts productivity by combining information,simulation,and visualization throughout the entire value chain of an operational firm,from subsurface equipment to central production *** and gas companies can majorly benefit from Hydrocarbon Exploration with the right use of such advanced *** study focuses on the advancements in technology in the context of DT and how it has been used by the hydrocarbon *** study discusses about the emergence of the DT concept,various types,5D representation,and tools for ***,the study tries to implement fields of DT in hydrocarbon industry especially in the domains of exploration,drilling,and *** associated with DT strategy like accessibility,confidentiality integration,and maintenance are also discussed.

关键词： Digital twin technology Hydrocarbon exploration Industry 4.0 Oil and gas Digitalization Automation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Stock Prediction Based on Technical Indicators Using Deep Learning Model

引用

Computers, Materials & Continua 2022年第1期70卷 287-304页

作者： Manish Agrawal Piyush Kumar Shukla Rajit nair Anand Nayyar Mehedi Masud Department of Computer Science&Engineering University Institute of TechnologyRajiv Gandhi Proudyogiki VishwavidyalayaBhopal-462033Madhya PradeshIndia Faculty of Department of Computer Science&Engineering University Institute of TechnologyRajiv Gandhi Proudyogiki VishwavidyalayaBhopal-462033Madhya PradeshIndia Faculty of Department of Computer Science&Engineering School of Engineering and TechnologyJagran Lakecity UniversityBhopal462026Madhya PradeshIndia Graduate School Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Stock market trends forecast is one of the most current topics and a significant research challenge due to its dynamic and unstable *** stock data is usually non-stationary,and attributes are non-correlative to each *** traditional Stock Technical Indicators(STIs)may incorrectly predict the stockmarket *** study the stock market characteristics using STIs and make efficient trading decisions,a robust model is *** paper aims to build up an Evolutionary Deep Learning Model(EDLM)to identify stock trends’prices by using *** proposed model has implemented the Deep Learning(DL)model to establish the concept of *** analysis of the dataset of three most popular banking organizations obtained from the live stock market based on the National Stock exchange(NSE)-India,a Long Short Term Memory(LSTM)is *** datasets encompassed the trading days from the 17^(th) of Nov 2008 to the 15^(th) of Nov *** work also conducted exhaustive experiments to study the correlation of various STIs with stock price *** model built with an EDLM has shown significant improvements over two benchmark ML models and a deep learning *** proposed model aids investors in making profitable investment decisions as it presents trend-based forecasting and has achieved a prediction accuracy of 63.59%,56.25%,and 57.95%on the datasets of HDFC,Yes Bank,and SBI,*** indicate that the proposed EDLA with a combination of STIs can often provide improved results than the other state-of-the-art algorithms.

关键词： Long short term memory evolutionary deep learning model national stock exchange stock technical indicators predictive modelling prediction accuracy

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A combination of learning and non-learning based method for enhancement, compression and reconstruction of underwater images

引用

Aquaculture and Fisheries 2022年第2期7卷 201-210页

作者： Rashmi S.nair Sandanam Domnic Department of Computer Applications National Institute of TechnologyTiruchirappalliTamil Nadu620015India

Complex nature of underwater environment poses biggest challenge towards image acquisition and transmission of underwater *** paper proposes an integrated approach which consists of a non-learning enhancement method with deep Convolutional Neural Networks(CNN)for compression and reconstruction of the *** proposed method does color and contrast correction for image *** enhanced images are down-sampled using 9-layer CNN followed by Discrete Wavelet Transform(DWT).The decompression is done by using Inverse ***,the sub-pixel up-sampled image is de-blurred using a three-layer *** Dense CNN(RD-CNN)is used to improve the quality of the reconstructed image after *** quality of the reconstructed images is measured using Peak Signal to Noise Ratio(PSNR)and Structural Similarity Index Metric(SSIM).The proposed model provides better image enhancement,compression,and reconstruction quality than the existing state-of-the-art methods and Super Resolution CNN(SRCNN)respectively.

关键词： Convolutional neural network Discrete wavelet transform Residual dense convolutional neural network Peak signal to noise ratio Structural similarity index metric Super resolution CNN

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Structural,magnetic and antibacterial properties of manganese-substituted magnetite ferrofluids

引用

International Journal of Minerals,Metallurgy and Materials 2023年第7期30卷 1417-1426页

作者： Blessy Babukutty Deepalekshmi Ponnamma Swapna S.nair Jiya Jose Saritha G.Bhat Sabu Thomas Department of Physics Central University of KeralaKasargod 671314India Materials Science and Technology Program College of Arts and SciencesQatar UniversityP.O.Box 2713DohaQatar Department of Biotechnology Cochin University of Science and TechnologyKalamasseryKeralaIndia Department of Chemistry Mahatma Gandhi UniversityKottayam 686560KeralaIndia

Manganese-substituted magnetite ferrofluids(FFs)Mnx Fe_(1-x)Fe_(2)O_(4)(x=0–0.8)were prepared in this work through a chemical coprecipitation *** controlled growth of FF nanomaterials for antibacterial activities is challenging,and therefore,very few reports are available on the *** research focuses on stabilizing aqueous FFs with the tetramethylammonium hydroxide surfactant to achieve high *** characterization reveals nanoparticles of 5–11 nm formed by the chemical reaction and nanocrystalline nature,as evident from structural ***-substituted magnetic FFs are analyzed for their structural,functional,and antibacterial performance according to the Mn-substituent *** studies show a high blue shift for Mn^(2+)-substituted Mnx Fe_(1-x)Fe_(2)O_(4)with the theoretical correlation of optical band gaps with the Mn *** superparamagnetic nature of substituted FFs causes zero coercivity and remanence,which consequently influence the particle size,cation distribution,and spin *** structural and functional performance of the FFs is correlated with the antibacterial activity,finally demonstrating the highest inhibition zone formation for Mnx Fe_(1-x)Fe_(2)O_(4)FFs.

关键词： manganese ferrofluids homogeneity antibacterial stability

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Ophthalmic posterior segment manifestations of COVID-19

引用

Annals of Eye Science 2023年第4期8卷 16-21页

作者： Sonya Besagar Archana A.nair Sapna Gangaputra Vanderbilt Eye Institute Vanderbilt University Medical CenterNashvilleTNUSA

Since the onset of the coronavirus disease 2019(COVID-19)pandemic,numerous reports of associated ocular manifestations have *** of nearly every ocular structure has been *** aim of this review is to describe various manifestations of the severe acute respiratory disease coronavirus 2(SARS-CoV-2)virus on the eye,focused primarily on the posterior segment,and discuss proposed pathophysiology and mechanisms of involvement of these ophthalmic *** mechanisms of ocular involvement of COVID-19 parallel those of systemic manifestations and include viral and other microbial reactivation,primary infection,inflammation,and *** reactivation of Herpes Simplex Virus,Varicella Zoster Virus,and Epstein-Barr Virus has been presumed in cases of acute retinal necrosis(ARN),while bacterial and parasitic infections have also been reported albeit less *** infection has also been thought to contribute to various inflammatory *** manifestations include various retinal artery and vein occlusions among other less visually significant signs such as cotton wool *** neuropathies including optic neuropathy,as well as optic neuritis have also been widely ***-19 vaccines are increasingly associated with ocular signs and *** this paper we explore various reported ophthalmic manifestations of COVID-19 infection,primarily involving the posterior *** the novel nature of the virus and overall paucity of cases,further study is required to better elucidate the causal relationship between the virus and its ophthalmologic effects.

关键词： Coronavirus disease 2019(COVID-19) coronavirus posterior segment uveitis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：