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Two-dimensional Metal-Organic Frameworks/Epoxy Composite Coatings with Superior O2/H2O resistance for Anticorrosion Applications

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ACS applied materials & interfaces 2024年第31期16卷 41421-41434页

作者： Hao-Hsuan Hsia You-Liang Chen Yu-Ting Tai Hong-Kang Tian Chung-Wei Kung Wei-ren Liu Department of Chemical Engineering R&D Center for Membrane Technology Research Center for Circular Economy Chung Yuan Christian University Taoyuan 32023 Taiwan. Department of Graduate Institude of Applied Science and Technology National Taiwan University of Science and Technology Taipei City 106335 Taiwan. Department of Chemical Engineering National Cheng Kung University Tainan City 70101 Taiwan. Program on Smart and Sustainable Manufacturing Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng Kung University Tainan 70101 Taiwan. Hierarchical Green-Energy Materials (Hi-GEM) Research Center National Cheng Kung University Tainan 70101 Taiwan.

Corrosion protection technology plays a crucial role in preserving infrastructure, ensuring safety and reliability, and promoting long-term sustainability. In this study, we combined experiments and various analyses to investigate the mechanism of corrosion occurring on the epoxy-based anticorrosive coating containing the additive of two-dimensional (2d) and water-stable zirconium-based metalorganic frameworks (Zr-MOFs). By using benzoic acid as the modulator for the growth of the MOF, a 2d MOF constructed from hexazirconium clusters and BTB linkers (BTB = 1,3,5-tri(4-carboxyphenyl)benzene) with coordinated benzoate (BA-ZrBTB) can be synthesized. By coating the BA-ZrBTB/epoxy composite film (BA-ZrBTB/EP) on the surface of cold-rolled steel (CrS), we found the lowest coating roughness (rMS) of BA-ZrBTB/EP is 2.83 nm with the highest water contact angle as 99.8°, which represents the hydrophobic coating surface. Notably, the corrosion rate of the BA-ZrBTB/EP coating is 2.28 × 10 mpy, which is 4 orders of magnitude lower than that of the CrS substrate. Moreover, the energy barrier for oxygen diffusion through BA-ZrBTB/EP coating is larger than that for epoxy coating (EP), indicating improved oxygen resistance for adding 2d Zr-MOFs as the additive. These results underscore the high efficiency and potential of BA-ZrBTB as a highly promising agent for corrosion prevention in various commercial applications. Furthermore, this study represents the first instance of applying 2d Zr-MOF materials in anticorrosion applications, opening up new possibilities for advanced corrosion-resistant coatings.

关键词： 2d structure Zr-based MOFs anticorrosion density functional theory epoxy hydrophobic

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Piezocatalytic property of PVdF/Graphene self-assembling piezoelectric membrane for environmental remediation

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Chemical Engineering Journal 2024年 487卷

作者： Huang, Tsung-Han Espino, Franz Kenneth C. Tian, Xin-Yuan Widakdo, Januar Austria, Hannah Faye M. Setiawan, Owen Hung, Wei-Song Pamintuan, Kristopher ray S. Leron, rhoda B. Chang, Ching-Yuan Caparanga, Alvin r. 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 School of Chemical Biological and Materials Engineering and Sciences Mapúa University Philippines Department of Physics Faculty of Mathematics and Natural Sciences Universitas Indonesia Depok16424 Indonesia Center for Renewable Bioenergy Research Mapua University Philippines Department of Mechanical Engineering National Taipei University of Technology Taipei10617 Taiwan R&D Center for Membrane Technology and Department of Chemical Engineering Chung Yuan University Chung Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan320315 Taiwan

In recent years, industrial pollution has become an inescapable global issue. The catalytic degradation processes driven by environmental sources, such as photocatalysis and piezocatalysis, are among the effective solutions. However, the difficulty in recycling catalysts leads to secondary pollution, limiting their practical application. This study develops a graphene-based self-assembled piezocatalytic membrane. Through Non-solvent Induced Phase Separation (NIPS), polyvinylidene fluoride (PVdF)/graphene asymmetrical membrane was prepared. The addition of graphene induced the self-assembly of PVdF crystalline phases into piezoelectric β phase. The membrane generates the rOS species to degrade the pollutant by the screen charge from material surface under a piezoelectric field. The optimal membrane exhibits the highest Vpp value of 4.26 V, and significant degradation efficiency of 80.2 % and 85.6 % for methylene blue (MnB) and crystal violet (CV), respectively, which are positively charged dyes. Meanwhile, the degradation efficiency within 2 h reached 73.8 % for negatively charged methyl orange (MO) and 96.1 % for toxic rhodamine B (rhB). This study successfully developed a crystalline self-assembled piezocatalytic membrane, providing fundamental insights into its piezoelectric response and various pollutant degradation. It introduces new directions and possibilities for the future development of membrane-based piezocatalysis. © 2024 Elsevier B.V.

关键词： Membranes

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Flow-through in-situ evaporation membrane enabled self-heated membrane distillation for efficient desalination of hypersaline water

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Chemical Engineering Journal 2023年 452卷

作者： Subrahmanya, T.M. Widakdo, Januar Austria, Hannah Faye M. Hung, Wei-Song Kurkuri, Mahaveer d. Wang, Chih-Feng 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 Jain Global Campus Karnataka Bengaluru562112 India R&D Center for Membrane Technology Chung Yuan University Chung-Li32023 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32023 Taiwan

Water crisis and high salinity water treatment are growing challenges for the world. The recently emerged self-heating or surface heating membrane distillation (Md) can be a promising way to obtain fresh water from saline and other wastewater sources. However, its inherent drawbacks such as intolerance to high feed flow rate, low flux, and loss of heat energy through bulk feed stream, limit its realistic applications. Herein, we successfully demonstrate a novel trilayered flow-through in-situ evaporation membrane (FTIEM) enabled membrane distillation process. The PEI-PdA-SBA-15 is spray coated as a top layer of FTIEM, which functions as hydrating, salt screening and thermally insulating layer, thus, it prevents the loss of heat from the middle joule heating layer (i.e., COOH-MWCNTs-PVA layer, where the water evaporation occurs) to the bulk feed stream, while the bottom PVdF microporous membrane permits only vapor to pass through under an appropriate vacuum pressure. The power required for membrane heating is provided by using a d.C. supply. during Md desalination of sea water, the FTIEMs achieve the lowest specific heating energy of 0.024 KWhL−1. In addition, the FTIEMs upon long –term Md operation using hypersaline water as feed, exhibit excellent stability and performance with maximum flux and salt rejection of 29.25 Lm−2h−1 and 99.99 % respectively. Our findings may encourage the development of FTIEMs for desalination of hypersaline water. © 2022 Elsevier B.V.

关键词： desalination

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Utilizing Artificial Intelligence for Plant Phenotyping in Soilless Farming: An Innovative deep Learning Approach on a Unique dataset

Utilizing Artificial Intelligence for Plant Phenotyping in S...

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Smart Power Control and renewable Energy (ICSPCrE), IEEE International Conference on

作者： d Jaya Narayana reddy Krishna Priya r J. Arun Kumar P. dharani Prasad Mustafa Nawaz Nookala Venu G Pullaiah College of Engineering and Technology Research and Consultancy Department University of Technology and Applied Sciences Governorate of Musandam Sultanate of Oman Department of ECE Vel Tech Rangarajan Sagunthala R&D Institute of Science and Technology Dept of Pharmacology Mohan Babu University MB School of Pharmaceutical sciences (Erstwhile Sree Vidyaniketan College of Pharmacy) Tirupati Department of Computer Science and Engineering Sri Sairam Institute of Technology Centre for IoT Madhav Institute of Technology & Science (MITS) (A Govt. Aided UGC Autonomous Institute) Gwalior Madhya Pradesh India

ISBN: (数字)9798350377002

ISBN: (纸本)9798350377019

In the dynamic landscape of agriculture, the convergence of technological advancements and sustainable practices has become imperative. The emergence of soilless farming, driven by hydroponics and aeroponics, presents a promising solution to address food security challenges while mitigating environmental concerns. Central to the success of soilless farming is efficient plant phenotyping, which traditionally relies on labour-intensive methodologies. However, this paradigm is shifting with the integration of Artificial Intelligence (AI) and deep Learning techniques. This research endeavours to pioneer an innovative approach to plant phenotyping in soilless farming by harnessing the power of AI. Leveraging a unique dataset meticulously curated from controlled hydroponic and aeroponic environments, our study aims to redefine the boundaries of agricultural research and practice. By employing state-of-the-art Convolutional Neural Networks (CNNs) and recurrent Neural Networks (rNNs), we dissect complex phenotypic traits encompassing leaf morphology, biomass accumulation, and physiological responses. Through iterative model refinement and validation, we strive to develop a robust framework capable of real-time phenotypic assessment across diverse plant species and growth stages. By synthesizing diverse environmental conditions and perturbations, we augment the original dataset, enhancing model generalization and adaptability. Moreover, through transfer learning techniques, Furthermore, the scalability and accessibility of AI technologies pave the way for democratizing agricultural innovation, fostering inclusive growth and resilience in the face of global challenges.

关键词： deep learning Technological innovation recurrent neural networks Plants (biology) Biological system modeling Scalability real-time systems

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A novel chemical-free porous carbon micro-rods derived from used wooden chopsticks (CS) for solid-state symmetric supercapacitor device

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diamond and related Materials 2024年 141卷

作者： Senthilkumar, Arun Kumar Kumar, Mohanraj Chen, Ching-Lung Murugan, Sandhiya Ho, Mon-Shu Chang, Jih-Hsing Department of Environmental Engineering and Management Chaoyang University of Technology Taichung413310 Taiwan Department of Applied Chemistry Chaoyang University of Technology Taichung413310 Taiwan Department of Safety Health and Environmental Engineering Ming Chi University of Technology New Taipei City24301 Taiwan Center for Environmental Sustainability and Human Health Ming Chi University of Technology New Taipei City24301 Taiwan Biochemical Technology R&D Center Ming Chi University of Technology New Taipei City24301 Taiwan Department of Physics National Chung Hsing University Taichung City40227 Taiwan

Energy storage application technology is still in its infancy, and carbon-based materials have gained attention in recent years. The finding of low-cost carbon material with controllable characteristics for energy application is quite a complex thing. The major objective of this work is to carbonize used wooden chopsticks at various temperatures in order to create porous carbon materials. Electrochemical studies were tested in 1 M KOH electrolyte assessed by a three-electrode system for supercapacitor application. Among the prepared carbon materials, CS-7 material prepared at 700 °C with a carbon ratio of 88.2 %, demonstrated a high specific capacitance of 184.66 F/g at 0.3 A/g, and the material exhibited an excellent capacitance endurance of 96 % after 10,000 cycles. An asymmetric solid-state supercapacitor was developed for real-time application to study the electrochemical characteristics of the porous carbon material. This study clarifies the creation of complex porous carbon using waste biomass as an energy storage medium. © 2023 Elsevier B.V.

关键词： Supercapacitor

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Adversarial Attacks and defenses Using Machine Learning for Cybersecurity in Corporates

Adversarial Attacks and Defenses Using Machine Learning for ...

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distributed Systems, Computer Networks and Cybersecurity (ICdSCNC), International Conference on

作者： r. Gopinath C. Sathiyamoorthy d. Sugumaran K.S. Giriprasath Neha Tripathi Mohammad Arif Department of Computer Science and Engineering K S.Rangasamy College of Technology Tamil Nadu India Department of Commerce Saveetha College of Liberal Arts and Sciences Chennai Tamil Nadu India Department of Information Technology Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Computer Science and Engineering PSG Institute of Technology and Applied Research Coimbatore Tamil Nadu India Graphic Era Deemed to be University Dehradun Uttarakhand India School of Computer Science & Engineering Vellore Institute of Technology Vellore Tamil Nadu India

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

This article suggests a novel method for protecting corporate cybersecurity systems from malevolent attacks, based on Capsule Networks (CapsNets). The enhancement of hierarchical feature learning by Capital Networks is a critical component of its capacity to differentiate between authentic and fraudulent data. robust optimization techniques and adversarial training are implemented to develop a model. The training seeks to be more resilient and beneficial in a larger environment by introducing perturbations one capsule at a time. CapsNets executed an effective operation, achieving 95% accuracy and 97% precision. In terms of managing adversarial assaults, CapsNets outperform baseline models greatly. The proposed approach exhibits potential as an improved cybersecurity defense method, as a result of its exceptional resilience and precision. This study demonstrates the efficacy of CapsNets in improving cybersecurity and also offers a glimpse into the adversarial defenses used in enterprise machine learning applications.

关键词： Training representation learning Measurement Analytical models Accuracy Perturbation methods routing Computer security Optimization resilience

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Automated detection and Classification of Motorcycle Number Plate Formats to Improve road Safety

Automated Detection and Classification of Motorcycle Number ...

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Electrical Electronics and Computing Technologies (ICEECT), International Conference on

作者： S. Sowmyayani S. Maheswari S.K.B. Sangeetha Sandeep Kumar Mathivanan Balamurugan Balusamy Shilpa Gite Nilkanth deshpande Department of Computer Science (SF) St. Mary’s College (Autonomous) Affiliated to Manonmaniam Sundaranar University Tirunelveli Thoothukudi India Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai School of Computer Science and Engineering Galgotias University Greater Noida India Delhi-National Capital Region (NCR) Shiv Nadar University India Department of AIML Symbiosis Institute of Technology Pune Symbiosis Centre for Applied AI(SCAAI)

ISBN: (数字)9798350378092

ISBN: (纸本)9798350378108

Number Plates are necessary for every vehicle. The format of the Number Plate is defined by the governments. Nowadays, the number plate consists of religion and caste-based images. It also consists of regional languages, slogans and so on. If the students in colleges have these non-standard formats, they stimulate hostility among students. Hence, identifying the nonstandard number plate format is necessary for traffic police and college management. The objective of this research is to identify the non-standard number plates in two-wheelers. Hence, in this paper, Number Plate Format recognition (NPFr) is proposed for two-wheelers. The format of the number plates is matched and the unformatted ones are identified. A dataset is created for this work from real-time CCTV images. Various experiments are carried out to analyze the proposed method. It is observed that high values of above 97% are achieved for various performance metrics.

关键词： Measurement Computers Law enforcement Government Motorcycles road safety real-time systems Object recognition License plate recognition Standards

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Impact of External Magnetic Fields on STT-MrAM: An Application Note

IEEE Electron Devices Magazine

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IEEE Electron devices Magazine 2024年第3期2卷 52-59页

作者： Bernard dieny Sanjeev Aggarwal Vinayak Bharat Naik Sebastien Couet Thomas Coughlin Shunsuke Fukami Kevin Garello Jack Guedj Jean Anne C. Incorvia Laurent Lebrun Kyung-Jin Lee daniele Leonelli Yonghwan Noh Siamak Salimy Steven Soss Luc Thomas Weigang Wang daniel C. Worledge SPINTEC UGA/CEA/CNRS Grenoble France Everspin Technologies Chandler AZ USA GlobalFoundries Malta NY USA Imec Leuven Belgium Coughlin Associates Atascadero CA USA Tohoku University Sendai Japan NUMEM Sunnyvale CA USA Department of Electrical and Computer Engineering University of Texas at Austin Austin TX USA HPROBE Eybens France Department of Physics Korea Advanced Institute of Science and Technology (KAIST) Daejeon Korea Huawei Technologies R&D Belgium N.V. Leuven Belgium Netsol Hwaseong-si Gyeonggi-do Republic of Korea Applied Materials Santa Clara CA USA Department of Physics and Department of Electrical & Computer Engineering University of Arizona Tucson AZ USA IBM San Jose CA USA

This application note discusses the working principle of spin-transfer torque magnetoresistive random access memory (STT-MrAM) and the impact that magnetic fields can have on STT-MrAM operation. Sources of magnetic fi... 详细信息

关键词： Torque Millimeter wave devices Magnetoresistive devices random access memory Permanent magnets Magnetic fields Magnetoresistance Probes Standards Magnetic shielding

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The Adaptive Workplace: Orchestrating Architectural Services around the Wellbeing of Individual Occupants

arXiv

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arXiv 2024年

作者： Vande Moere, Andrew Arko, Sara drasilova, Alena Safrova Ondráček, Tomáš Pigliautile, Ilaria Pioppi, Benedetta Pisello, Anna Laura Prochazka, Jakub roncancio, Paula Acuna Schaumann, davide Schweiker, Marcel Nguyen, Binh Vinh duc Design Dept. of Architecture KU Leuven Leuven Belgium Ljubljana Slovenia Department of Business Management Masaryk University Brno Czech Republic Environmental Applied Physic Lab Engineering Department University of Perugia Perugia Italy EValTech R&D Department of Elettrica Valeri srl Perugia Italy Delta Light NV Wevelgem Belgium Intelligent Place Lab Faculty of Architecture and Town Planning Technion - Israel Institute of Technology Haifa Israel Institute for Occupational Social and Environmental Medicine Medical Faculty RWTH Aachen University Aachen Germany

As the academic consortia members of the EU Horizon project SONATA ("Situation-aware OrchestratioN of AdapTive Architecture"), we respond to the workshop call for "Office Wellbeing by design: don't Stand for Anything Less" by proposing the "Adaptive Workplace" concept. In essence, our vision aims to adapt a workplace to the ever-changing needs of individual occupants, instead of that occupants are expected to adapt to their workplace. © 2024, CC BY-NC-Nd.

关键词： Human robot interaction

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Ionisation in nanowire by ultra-short relativistic laser pulse

Fundamental Plasma Physics

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Fundamental Plasma Physics 2024年 10卷

作者： Houng, F.T.T. Hoh, S.Y. Ong, J.F. Department of Applied Physics National University of Malaysia Selangor Bangi 43600 Malaysia Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 201210 China Extreme Light Infrastructure - Nuclear Physics (ELI-NP) Horia Hulubei National Institute for R&D in Physics and Nuclear Engineering (IFIN-HH) 30 Reactorului Street Bucharest-Măgurele 077125 Romania

We show that the wakefield driven by fast electrons inside the nanowire when irradiated with an ultra-short relativistic laser pulse strips atoms to a higher charge state. Using particle-in-cell simulations, we demonstrate that the charge state agrees with the barrier suppression threshold of the wakefield and reaches a higher value via collision. The ionisation of gold nanowires occurs only via collisional-damped wakefield. We found that the collisional ionisation of high-Z nanowires depends on the onset of the z pinch. These results suggest a different ionisation mechanism of the structured target in the subfemtosecond regime. © 2024 The Author(s)

关键词： Electron impact ionisation Laser-matter interaction Nanowire Strong field ionisation

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