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Nanoscale dynamics of hydrogen in VO2 studied by μSR

Physical Review materials 2024年第2期8卷 024602-024602页

作者： H. Okabe M. Hiraishi A. Koda Y. Matsushita T. Ohsawa N. Ohashi R. Kadono Muon Science Laboratory and Condensed Matter Research Center Institute of Materials Structure Science High Energy Accelerator Research Organization (KEK-IMSS) Tsukuba Ibaraki 305-0801 Japan Institute for Materials Research Tohoku University (IMR) 2-1-1 Katahira Aoba-ku Sendai 980-8577 Japan Graduate School of Science and Engineering Ibaraki University 2-1-1 Bunkyo Mito Ibaraki 310-8512 Japan Department of Materials Structure Science The Graduate University for Advanced Studies (Sokendai) Tsukuba Ibaraki 305-0801 Japan National Institute for Materials Science (NIMS) Tsukuba Ibaraki 305-0044 Japan

Hydrogen dynamics in the nanoscale region of VO2 was investigated by muon spin rotation/relaxation (μSR) technique. Positively charged muon acts as a light radioisotope of protons and can be used as a probe to explore the inside of materials from an atomic perspective. By analyzing the muon hopping rate and the spatial distribution of the V51 nuclear magnetic moments, we have identified two types of diffusion paths in VO2 (via oxygen-muon bonds or defects) and the potential of a high diffusion coefficient in the 10−10cm2/s range at ambient temperature. Our results provide valuable information for developing hydrogen-driven VO2-related electronic devices.

关键词： Diffusion Vanadates Muon spin relaxation & rotation

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Surface Characterization of Sodium Cholate Treated CVD Graphene

Surface Characterization of Sodium Cholate Treated CVD Graph...

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IEEE Conference on Nanotechnology

作者： Evans Addo-Mensah Janet Obaemo Katie Welch Yang Tian Shiva Dolatabadi Hugh Churchill Uchechukwu Wejinya Materials Science and Engineering Graduate Program University of Arkansas Microelectronics and Photonics Program University of Arkansas Department of Physics University of Arkansas Fayetteville Arkansas Department of Mechanical Engineering University of Arkansas Fayetteville Arkansas

The advancement of graphene has created a need in exploring its properties for different applications. One way to explore its properties is by reducing its hydrophobicity. To overcome hydrophobicity of graphene, surfactants have been used in functionalization, hence improving the surface properties of the graphene monolayer. Therefore, investigating surfactant treatment for CVD graphene becomes useful in understanding the surface property effects on graphene. This study utilizes CVD graphene on silicon substrates. Its treatment was done with varying concentrations of Sodium Cholate (SC) for different treatment times. These samples were then characterized using Atomic Force Microscopy (AFM) to investigate the surface properties of the samples before and after treatment. To be optimized, the graphene must remain attached to the silicon substrate. The result shows that the integrity of the graphene, which is basically the Sp2 structure, is preserved as there was no delamination from the substrate even after treatment for as long as 2 hours in 1% weight/volume concentration of the SC solution.

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MECHANICAL AND ELECTRICAL CHARACTERIZATION OF 3D PRINTED POLYAMIDE 6 NANOGRAPHENE COMPOSITE FOR ELECTROSTATIC DISCHARGE APPLICATIONS

MECHANICAL AND ELECTRICAL CHARACTERIZATION OF 3D PRINTED POL...

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SAMPE 2022 Conference and Exhibition

作者： Arigbabowo, Oluwasola K. Omer, Liam Tate, Jitendra Materials Science Engineering and Commercialization Program Texas State University 601 University Drive San MarcosTX78666 United States Ingram School of Engineering Texas State University 601 University Drive San MarcosTX78666 United States

ISBN: (纸本)9781934551417

Polyamide 6 (PA 6) is an engineering thermoplastic that can be used to develop polymer nanocomposite with high potential in electrostatic discharge applications. By the incorporation of nanofillers in PA 6 to enhance multifunctional properties, PA 6 nanocomposites can serve as technological alternatives to commercial thermoplastics for 3D printing via fused deposition modelling (FDM). Hence, this study evaluated the mechanical and electrical properties of 3D printed PA6 nanographene composites for electrostatic discharge applications. 2, 4 and 6 wt.% of Graphene Nanoplatelets (GNP) was compounded with PA6 using co-rotating twin screw extruder to produce 1.75mm diameter monofilaments for FDM 3D printing. The test samples were printed using commercial-off-the-shelf (COTS) 3D printer, Lulzbot TAZ 6 FDM printer. Morphology, mechanical and electrical characterization was carried out according to their respective ASTM standard. An improvement in tensile and flexural properties were observed with an increase in nanographene addition, and a maximum improvement of 61.4 and 55.9% in tensile and flexural modulus respectively was recorded at 6wt% loading level. Electrical conduction of the insulative polyamide 6 matrix was enhanced by an appreciable reduction of its volume resistivity to 1011 Ω.cm by 2wt% nanographene loading, which seems promising for manufacturing static discharge products. Copyright 2022. Used by the Society of the Advancement of Material and Process engineering with permission.

关键词： Graphene

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Meal Image Recognition and Healthy Meal Combination Recommendation System Integrated with Generative Artificial Intelligence

Meal Image Recognition and Healthy Meal Combination Recommen...

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IEEE Eurasia Conference on Biomedical engineering, Healthcare and Sustainability (ECBIOS)

作者： Chin-Chih Chang Chi-Hung Wei Sean Hsiao Chyuan-Huei Thomas Yang Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan Ph.D. Program in Engineering Science Chung Hua University Hsinchu Taiwan Bachelor's Program in Applied Foreign Language and Smart Commerce Chung Hua University Hsinchu Taiwan School of Information Engineering Shandong Vocational and Technical University of International Studies Shandong China

ISBN: (数字)9798350396133

ISBN: (纸本)9798350396140

People increasingly prioritize a balanced diet to enhance well-being, yet making informed dietary choices remains challenging amidst the abundance of options. To address this, we developed a meal image recognition and healthy meal combination recommender system, integrating generative artificial intelligence (AI). Convolutional neural networks were used for precise meal image recognition to identify diverse food items. The generative AI-augmented recommendation engine offers personalized meal suggestions aligned with nutritional goals and dietary preferences, utilizing a nutrition knowledge base to ensure overall well-being. The system's feasibility was validated, illustrating its excellence in meal recognition accuracy, recommendation diversity, and user engagement. By integrating generative AI, the system shows its potential to enhance dietary recommendations and public health.

关键词： Image recognition Accuracy Generative AI Knowledge based systems Convolutional neural networks Sustainable development Public healthcare Recommender systems Engines Biomedical engineering

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间隙Sn掺杂促进铋电催化CO_(2)到甲酸盐的转化

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science China materials 2023年第9期66卷 3539-3546页

作者：徐鑫危洋米林华潘国栋何亚军蔡思婷郑朝杨江雅明陈斌李留义钟升红黄建峰胡文彬于岩 Key Laboratory of Advanced Materials Technologies International(Hong Kong Macao and Taiwan)Joint Laboratory on Advanced Materials TechnologiesCollege of Materials Science and EngineeringFuzhou UniversityFuzhou 350108China Institute of Advanced Interdisciplinary Studies School of Chemistry and Chemical EngineeringChongqing UniversityChongqing 400044China Joint School of National University of Singapore and Tianjin University International Campus of Tianjin UniversityBinhai New CityFuzhou 350207China

电化学CO_(2)还原(CO_(2)RR)是一种很有前景的技术,可以将二氧化碳转化为多种增值化学品,从而达到减缓温室效应的目的.然而,实现目标产品的高催化活性、选择性和稳定性仍然是一个很大的挑战.本文通过还原Sn掺杂的Bi2S3制备了间隙掺杂的S... 详细信息

电化学CO_(2)还原(CO_(2)RR)是一种很有前景的技术,可以将二氧化碳转化为多种增值化学品,从而达到减缓温室效应的目的.然而,实现目标产品的高催化活性、选择性和稳定性仍然是一个很大的挑战.本文通过还原Sn掺杂的Bi2S3制备了间隙掺杂的Snx-Bi (x为Sn与Bi的原子比,x=1/2,1/16,1/24或1/40)纳米线束(NBs).值得注意的是,Sn1/24-Bi NBs在1400 mV的宽电位窗口内表现出超高的甲酸盐选择性(从-0.5到-1.9 V vs.可逆氢电极(RHE),法拉第效率超过90%),在-1.9 V ***时,电流密度达到了-319 mA cm^(-2),可满足工业使用需求.此外,还实现了在~-200 mA cm^(-2)条件下超过84 h的超长稳定性.实验结果和密度泛函理论计算表明,间隙掺杂Sn优化了*OCHO中间体的吸附亲和力,降低了铋催化剂的电子转移能垒,从而获得了显著的CO_(2)RR性能.本研究为设计具有优异催化活性、选择性和耐久性的掺杂型电催化剂用于CO_(2)RR为甲酸盐提供了启示.

关键词：密度泛函理论计算电子转移间隙掺杂电催化甲酸盐 Sn掺杂电化学能垒

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Efficient Automatic External Defibrillator Using the Slope of Hilbert Transformed ECG Signals

Efficient Automatic External Defibrillator Using the Slope o...

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Electronics, Communications, and Computations (JAC-ECC), International Japan-Africa Conference on

作者： Samir A. Elsagheer Mohammed S. Sayed Mohsen A. Hassan Computer Science and Information Technology Egypt-Japan University of Science and Technology Alexandria Egypt Facurlty of Engineering Aswan Universty Aswan Egypt Department of Electronics and Communications Engineering Egypt-Japan University of Science and Technology Alexandria Egypt Department of Electronics and Communications Engineering Zagazig University Zagazig Egypt Materials science and engineering program IDE Egypt-Japan University of Science and Technology Alexandria Egypt

Sudden cardiac arrest (SCA) is a life-threatening condition that demands immediate intervention. The key to survival often lies in the timely and precise analysis of electrocardiogram (ECG) signals to determine the necessity of a shock from an Automatic External Defibrillator (AED). In this paper, we address the critical need for improved accuracy in AED decision-making by presenting a novel approach that leverages the Hilbert Transform to calculate the slope of ECG signals by harnessing the analytical power of Hilbert Transformed ECG signals. By scrutinizing the heart's electrical activity through this method, we aim to enhance the AED's ability to differentiate between cases of ventricular fibrillation and other non-shockable rhythms, ultimately leading to more efficient and effective treatment. Our research explores two distinct approaches for signal analysis and correlates their findings to achieve higher precision in defibrillation decisions. To validate the effectiveness of our approach, we employ a diverse and publicly available dataset containing various heart conditions, allowing us to demonstrate the robustness of our method across a wide spectrum of cases. This study represents a significant advancement in the field of automatic external defibrillation, with the potential to save countless lives through more accurate and timely interventions.

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Using Neural Networks to Predict Pin Powers in Reflective PWR Fuel Assemblies with Varying Pin Size

Using Neural Networks to Predict Pin Powers in Reflective PW...

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2022 International Conference on Physics of Reactors, PHYSOR 2022

作者： Furlong, Aidan Shriver, Forrest Watson, Justin Nuclear Engineering Program Deptartment of Materials Science Engineering University of Florida 549 Gale Lemerand Drive PO BOX 116400 GainesvilleFl32611 United States Sentinel Devices LLC Sentinel Devices LLC KnoxvilleTN37932 United States

ISBN: (纸本)9780894487873

The use of neural networks to predict high-fidelity neutronics features is becoming an increasingly attractive area of investigation, as a way to reduce the computational resources needed for simulations while maintaining the high resolution of the latent simulations. Previous work provided a novel network architecture, LatticeNet, as an approach to use neural networks to predict high-resolution pin power predictions equivalent to what would be produced by a high-fidelity code without significant computational cost. This paper further tests this approach by applying it in scenarios with varying fuel pin sizes, and shows that it can be successfully used to achieve high accuracy in predictions, even in regions which the training data did not explicitly represent. © 2022 Proceedings of the International Conference on Physics of Reactors, PHYSOR 2022. All Rights Reserved.

关键词： Deep Learning Machine Learning Neutronics Pressurized Water Reactor

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A comparing study of defect generation in IN738LC superalloy fabricated by laser powder bed fusion:Continuous-wave mode versus pulsed-wave mode

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Journal of materials science & Technology 2021年第31期90卷 45-57页

作者： Chuan Guo Yang Zhou Xinggang Li Xiaogang Hu Zhen Xu Enjie Dong Qiang Zhu R.Mark Ward Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055China Shenzhen Key Laboratory for Additive Manufacturing of High-performance materials Shenzhen 518055China School of Metallurgy and Materials University of BirminghamEdgbastonBirmingham B152TTUnited Kingdom Academy for Advanced Interdisciplinary Studies Southern University of Science and TechnologyShenzhen 518055China

Inconel 738 LC samples were fabricated using laser powder bed fusion under continuous-wave and pulsed-wave ***,surface quality and mechanical properties were compared to evaluate the printing quality between these 2 laser beam *** results show that the application of pulsed wave could effectively eliminate cracking in the as-fabricated sample,despite 0.046%porosity *** microstructure analysis revealed that the refinement of grains by the pulsed-wave laser beam was the main contributor in eliminating the *** this refinement was ascribed to the higher cooling rate under the discontinuous radiation of laser beam proofed by the numerical *** the pore formation was related to Rayleigh instability and residual bubbles in the sample under the pulsed-wave mode,while pores were less detrimental to the mechanical properties than ***,the part under the pulsed-wave mode exhibited superior mechanical performance compared to that under the continuous-wave mode.

关键词： Laser powder bed fusion Continuous-wave mode Pulsed-wave mode Nickel-based superalloy Defect generation

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Macroalgae as Blue Carbon Reservoirs and Bioindicators of Metal Pollution in the Saudi Arabian Red Sea: A Comparative Study of Coral Reef and Seagrass Meadow Habitats

SSRN

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SSRN 2024年

作者： Cai, Chunzhi Anton, Andrea Duarte, Carlos M. Agusti, Susana King Abdullah University of Science and Technology Marine Science Program The Biological and Environmental Sciences and Engineering Division Thuwal23955 Saudi Arabia Mediterranean Institute for Advanced Studies Esporles Illes Balears07190 Spain

Macroalgae are vital components of blue carbon ecosystems, yet their elemental compositions in the Red Sea are not well understood. This study analyzed 22 elements in 161 macroalgae blades from 13 species in the Saudi Arabian Red Sea. Macroalgae from coral reefs had higher K, As, and Sr but lower TN (Total nitrogen), Na, Mg, Al, P, S, Cr, Mn, Fe, and Zn compared to those from seagrass meadows, likely due to proximity to human activities. In the Southern Red Sea, macroalgae showed lower Sr but higher TOC (Total organic carbon), TN, P, and Cd compared to the North, suggesting nutrient inflows from the Indian Ocean. Macroalgae blades have lower carbon sequestration capacity than seagrass and mangrove leaves but are more effective bioindicators of metal pollution. Halymenia sp., Caulerpa taxifolia, and Dyctiota sp. showed the highest TOC, TN, and P contents among red, green, and brown macroalgae, highlighting their role in carbon sequestration and nutrient cycling. Amphiroa fragilissima, Udotea flabellum, and Padina sp. emerged as promising metal pollution bioindicators. Macroalgae from Al Birk, Al Lith, Thuwal, Yanbu, and Al Wajh exhibited alarming Cr (~10.9 mg kg−1) and Ni (~27.2 mg kg−1) levels, exceeding toxicity thresholds, urging stringent pollution control measures. © 2024, The Authors. All rights reserved.

关键词： Biomarkers

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Stiffness of In-Situ Formed Interleaving Polymeric Nanofiber-Epoxy Nanocomposites

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Open Journal of Composite materials 2024年第4期14卷 147-157页

作者： Farzin Javanshour Kaan Bilge Abdul Bari Abdul Raheman Melih Papila VTT Technical Research Centre of Finland Ltd. Tampere Finland Insight Technology Development and Consultancy Kozyata Istanbul Trkiye Materials Science & Nano Engineering Program Sabanci University Istanbul Trkiye Department of Mechanical Engineering California State University Northridge Northridge USA

This study proposes a facile, but precise method to back-calculate the effective modulus of nanocomposite interleaving plies. Adaptation of a conventional dry-reinforcement resin film infusion (RFI) approach allows interleaving neat epoxy layers (NE) with the epoxy-infused nanofibrous plies (XE) of constant thickness. The final cured nanocomposite laminate thus has the form (NE/XE)n, where “n” denotes the number of the repeats and enables clear distinction of the nanocomposite interlayers through the thickness. Mechanical testing of neat epoxy and laminated nanocomposite specimens can be coupled with the classical lamination theory for back-calculating in-plane elastic modulus of the individual epoxy-infused nanofibrous plies (EXE). Finite element analysis (FEA) and testing the laminated nanocomposite subject to flexural loading (3-point bending) are proposed to validate the analytically back-calculated EXE. It is shown that the FEA prediction incorporating EXE and testing for flexural modulus of (NE/XE)20 laminated nanocomposites correlate well and the results are within 5%. This finding suggests that the back-calculation scheme reported herein would be attractive for accurately determining the properties of an individual nanocomposite building block layer. The proposed framework is beneficial for modelling laminated structural composites incorporating XE-like nanocomposite interlayers.

关键词： Lamination Theory Resin Film Infusion Electrospun Nanofibers Mechanical Properties

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