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A viable approach to repair neutron shielding B_(4)C/6061 Al composite sheets through cold spray and hot rolling co-treatment

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Journal of Materials science & technology 2022年第11期106卷 173-182页

作者： Xiang Qiu Lu Qi Jun-rong Tang Naeem ul Haq Tariq Ji-qiang Wang Tian-ying Xiong Qingdao National Laboratory for Marine Science and Technology Qingdao 266237China CAS Key Laboratory of Marine Environmental Corrosion and Bio-fouling Institute of OceanologyChinese Academy of SciencesQingdao 266071China Science Center for Material Creation and Energy Conversion Institute of Frontier and Interdisciplinary ScienceShandong UniversityQingdao 266237China Institute of Metal Research Chinese Academy of SciencesShenyang 110016China Department of Metallurgy and Materials Engineering Pakistan Institute of Engineering and Applied SciencesNiloreIslamabadPakistan

Cold spray(CS) is considered as a new type of repairing technique for restoration or remanufacturing of a wide range of unserviceable engineering components due to its unique ‘cold’ characteristic. In this work, a viable repairing approach i.e. "cold spraying followed by hot rolling post-treatment" was successfully applied to restore defective neutron shielding B_(4)C/6061 Al composite plates. Scanning electron microscopy(SEM) and electron backscatter diffraction(EBSD) results revealed that the coating-substrate interface is in a good bonding state without micro-cracks. Hot rolling post-treatment resulted in improved microstructure of the as-sprayed deposit with more uniform distribution of B_(4)C particles in the ***, well bonded splat boundaries and strain free Al grains were evolved in the matrix due to enhanced splat deformation and continuous dynamic recrystallization(CDRX). Three-point bending test results revealed that the strength of the repaired material is at par with the in-service plates. The findings of this work could be considered as a great stride to further extend possible applications of CS for repairing engineering structural components.

关键词： B_(4)C/6061 Al Cold spray Repairing Three-point bending test

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Fast Fringe-field-effect Free Continuous 2. 22ɧ Phase Modulation Based on Non-linear Kerr Effect of Vertical Aligned Deformed Helix Ferroelectric Liquid Crystal

Fast Fringe-field-effect Free Continuous 2. 22ɧ Phase Modul...

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International Conference on Display technology, ICDT 2022

作者： Yuan, Zheng-Nan Sun, Zhi-Bo Yu, Xin-Yi Cheng, Ming Cheng, Yue-Chu Li, An-Ran Vashchenko, Valerii Kwok, Hoi-Sing. Srivastava, Abhishek K. State Key Laboratory of Advanced Displays and Optoelectronics Technologies and Center for Display research Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Road Kowloon Hong Kong

A fast (Relaxation ~25μs and response ~50μs at 55℃) high-contrast continuous 5 phase modulation without fringe field effect (FFE) based upon Kerr effect of vertical aligned deformed helix ferroelectric liquid crystal (VADHFLC) is proposed. Specifically, FFE is a long-term inevitable barrier for nematic liquid crystal (NLC). Surprisingly, it is the 1st-time found that no FFE exists for VADHFLC under 1μm pitch, which is an arresting feature for ultra-high-resolution applications. Moreover, the Kerr constant is 55nm/V2 and the contrast ratio is > 1000:1. It is a promising candidate for AR/VR, wavelength selective switch (WSS), hologram, ultra-high-PPI display, adaptive optics and LiDAR applications. © 2022, John Wiley and Sons Inc. All rights reserved.

关键词： Phase modulation

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Digital transformation of technological IP portfolio analysis for complex domain of satellite communication innovations

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advanced Engineering Informatics 2023年 55卷

作者： Trappey, Amy J.C. Pa, Regan J.S. Chen, Neil K.T. Huang, Andy Z.C. Li, Kuo-An Hung, L.P. Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu Taiwan Science & Technology Policy Research and Information Center National Applied Research Laboratories Taipei106 Taiwan

The latest mobile network protocols, currently adopted by most of global telecom-services, are at the level of fifth generation (5G) technological standards. However, 5G speed and bandwidth will not be likely to catch up with the advanced AI- and IoT-based applications, which require very low latency with wide coverage. Thus, industry is looking ahead beyond 5G (B5G) communication enabling technologies. Further, in order to provide global communications without disconnections due to geographical barriers (e.g., oceans and high mountains lacking base stations), low earth orbit (LEO) satellites become the ideal solution for connecting entire global network with terrestrial and non-terrestrial links. In this research, the integration of LDA topic modeling, clustering algorithm, technology-function matrix, and s-curve modeling is proposed to analyze complex IP portfolio for B5G satellite technologies. The domain ontology, which describes the transdisciplinary features of the B5G satellite technology taxonomy, is derived and refined in a hierarchical schema after thorough literature review and 2357 domain patents being collected and analyzed. This research aims to discover the main trends and the potentials of satellite communication technologies through novel tech-mining techniques in both macro- and micro-levels. During macro-analyses, trends of global inventions, the leading assignees, and the distribution of technology categories are depicted. We identify the leading patent assignees with their domain patents (published from 2012 to 2021) and distributions under sub-technical categories. Further, the micro-analyses discover the innovations of major technological themes, showing key R&D hot-spots, cold-spots and lifecycle maturities of sub-technical categories. Finally, the research strategies for technical-savvy countries (e.g., Taiwan, with advances in its semiconductor and ICT industries) are presented highlighting its strategic innovations related to the complex c

关键词： Complex networks

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Comparison of Biocode Based Machine Learning and Segmentation Model for Automated Prawn Size Prediction for Real Prawn Farm 5

Comparison of Biocode Based Machine Learning and Segmentatio...

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5th Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2024

作者： Zariful, Muhammad Wafiq Abd Tashim, Najeebah Az-Zahra Lim, Tiong Hoo Fakhrurroja, Hanif Chuprat, Suriayati Putra, Seno Adi Liu, Pengcheng Basri, Aida Maryam Universiti Technologi Brunei Electrical and Electronic Engineering Bandar Seri Begawan Brunei National Research and Innovation Agency Research Center for Smart Mechatronics Bandung Indonesia Universiti Teknologi Malaysia Razak Faculty of Technology and Informatics Kuala Lumpur Malaysia Telkom Universiti School of Industrial and System Engineering Bandung Indonesia University of York Department of Computer Science York United Kingdom Universiti Technologi Brunei School of Applied Science and Matematics Bandar Seri Begawan Brunei

ISBN: (纸本)9798350374407

The aquaculture industry has witnessed a significant surge in technological integration over the past decade, leveraging advancements in the Internet of Things (IoT) and Artificial Intelligence (AI) to enhance production efficiency. Monitoring the growth of aquatic cultures, such as fishes and prawns, plays a pivotal role in optimizing production. However, traditional methods, notably in prawn aquaculture in Asia, still heavily rely on stress-inducing techniques like netting and manual measurements. This paper proposes a novel approach using YOLO-based detection algorithm with biocode reference point based on the ArUco design to predict prawn size based on the length and are dimension to analysed the improvement in predicting the size. The propose solution is compared extensively using statistical tests against segmentation model with and without fine-tuning. Initial results show that both YOLOv8 segmentation and YOLOv8 with Segment Anything Model (SAM) give similar results with the actual mean length of 15.7 cm and predicted mean lengths are 20.5 cm and 20.8 cm respectively. However, after fine-tuning the parameter, the accuracy of predicted results improved significantly with 15.8 cm for YOLOv8 segmentation and 16 cm for YOLOv8 with SAM. The mean absolute error of 0.93 cm for YOLOv8 segmentation and 1.10 cm for YOLOv8 with SAM, and the width of 0.48 cm and 0.78 cm respectively. © 2024 IEEE.

关键词： Deep learning

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Engineering polarization surface of hierarchical ZnO microspheres via spray-annealing strategy for wide-frequency electromagnetic wave absorption

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Journal of Materials science & technology 2022年第36期131卷 231-239页

作者： Lei Wang Mengqiu Huang Xuefeng Yu Wenbin You Biao Zhao Chongyun Liang Xianhu Liu Xuefeng Zhang Renchao Che Laboratory of Advanced Materials Shanghai Key Lab of Molecular Catalysis and Innovative MaterialsDepartment of Materials ScienceFudan UniversityShanghai 200438China Department of Chemistry Fudan UniversityShanghai 200433China Joint-Research Center for Computational Materials Zhejiang LaboratoryHangzhou 311100China School of Materials Science and Engineering Shanghai Institute of TechnologyShanghai 201418China Key Laboratory of Materials Processing and Mold Zhengzhou UniversityMinistry of EducationZhengzhou 450002China Institute of Advanced Magnetic Materials College of Materials and EnvironmentalEngineeringHangzhou Dianzi UniversityHangzhou 310012China

Regulating orientation growth plays a dominant role in enhancing dielectric properties for the electromagnetic(EM)functional materials,which faces a huge challenge in the synthesis *** sprayannealing strategy,hierarchical ZnO microspheres assembled by ZnO nanorods and nanoparticles were successfully *** confined microsphere space and controlling crystal growth,oriented ZnO nanorods possess rich defects,Zn-polar,O-polar faces,and high ***,temperaturedependency of exposed polarization surfaces is discovered in the semiconductor ZnO nanoparticles with evolved aspect *** pure dielectric EM wave absorption material,the hierarchical ZnO microsphere exhibits adjustable complex permittivity and polarization *** the thickness is 2.4 mm,the hierarchical ZnO-1 absorber shows the widest efficient absorption(RL≤–10 d B)region from 9.9 to18.0 GHz(8.1 GHz,^50.6%testing frequency).The minimum reflection loss(RL)of ZnO-1 can reach–31.5 d B at only 2.0 *** of the outstanding dielectric loss ability and wide absorption frequency,large-scale hierarchical ZnO microspheres can be a potential EM absorption candidate.

关键词： ZnO microspheres Spray drying Electromagnetic wave absorption Orientated polarization Dielectric loss

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Negative Binomial Regression Model for Predicting the Number of Tourists in National Parks of Thailand

Negative Binomial Regression Model for Predicting the Number...

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International ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI-NCON)

作者： Sthaporn Thepsumritporn Anuchit Jitpattanakul Sakorn Mekruksavanich Wikanda Phaphan Department of Applied Statistics Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Mathematics Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand Intelligent and Nonlinear Dynamic Innovations Research Center Department of Computer Engineering School of Information and Communication University of Phayao Phayao Thailand Research Group in Statistical Learning and Inference

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

This article examines the use of count data models to predict the number of tourists visiting Thailand’s national parks. The dataset, encompassing observations from 2016 to 2022 across 146 national parks, exhibits characteristics such as discreteness, over dispersion, and non-negative integer values. Two models— Poisson (POI), and Negative Binomial (NB)—were compared to identify the most effective approach for modeling and prediction. Model evaluation metrics, including the Akaike Information Criterion (AIC) and log-likelihood, were employed. Results demonstrate that the Negative Binomial regression model best captures the data’s overdispersion compared to the POI model. The NB model achieved the lowest AIC and highest log-likelihood, affirming its superior performance for this application. Our findings underscore the NB model’s utility in predicting tourism-related count data and suggest its broader applicability to other domains characterized by overdispersed count data.

关键词： Natural resources Measurement Analytical models Accuracy Predictive models Data models Planning Resource management Dispersion

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Unlocking the Potential of Porous Bi2te3-Based Thermoelectrics Using Precise Interface Engineering Through Atomic Layer Deposition

SSRN

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SSRN 2024年

作者： Lee, Seunghyeok Park, Gwang Min Kim, Younghoon Lee, So-Hyeon Jung, Sung-Jin Hong, Junpyo Kim, Sung-Chul Won, Sung Ok Lee, Albert S. Chung, Yoon Jang Kim, Ju-Young Kim, Heesuk Baek, Seung-Hyub Kim, Jin-Sang Park, Tae Joo Kim, Seong Keun Electronic Materials Research Center Korea Institute of Science and Technology Seoul02792 Korea Republic of Department of Materials Science and Chemical Engineering Hanyang University Ansan15588 Korea Republic of KU-KIST Graduate School of Converging Science and Technology Korea University Seoul02841 Korea Republic of Ulsan44919 Korea Republic of Ulsan44919 Korea Republic of Materials Architecturing Research Center Korea Institute of Science and Technology Seoul02792 Korea Republic of Convergence Research Center for Solutions to Electromagnetic Interference in Future-mobility Korea Institute of Science and Technology Seoul02792 Korea Republic of Advanced Analysis and Data Center Korea Institute of Science and Technology Seoul02792 Korea Republic of Department of Chemical and Biological Engineering Korea University Seoul02841 Korea Republic of Soft Hybrid Materials Research Center Korea Institute of Science and Technology Seoul02792 Korea Republic of Institute of Advanced Composite Materials Korea Institute of Science and Technology Wanju55324 Korea Republic of

Porous thermoelectric materials offer exciting prospects for improving thermoelectric performance by significantly reducing thermal conductivity. Nevertheless, porous structures are affected by issues including restricted enhancements in performance attributed to decreased electronic conductivity and degraded mechanical strength. This study introduces an innovative strategy for overcoming these challenges using porous Bi0.4Sb1.6Te3 (BST) by combining porous structuring and interface engineering via atomic layer deposition (ALD). Porous BST powder was produced by selectively dissolving KCl in a milled mixture of BST and KCl;the interfaces were engineered by coating ZnO films through ALD. This novel architecture remarkably reduced thermal conductivity owing to the presence of several nanopores and ZnO/BST heterointerfaces, promoting efficient phonon scattering. Additionally, the ZnO coating mitigated the high resistivity associated with the porous structure, resulting in an improved power factor. Consequently, the ZnO-coated porous BST demonstrated a remarkable enhancement in thermoelectric efficiency, with a maximum ZT of approximately 1.53 in the temperature range of 333–353 K, and a ZT of 1.44 at 298 K. Furthermore, this approach plays a significant role in enhancing the mechanical strength, effectively mitigating a critical limitation of porous structures. These findings open new avenues for the development of advanced porous thermoelectric materials and highlight their potential for precise interface engineering through ALD. © 2024, The Authors. All rights reserved.

关键词： Zinc oxide

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Impact of Hydrodynamic Interactions on the Kinetic Pathway of Protein Folding

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Physical Review Letters 2024年第13期132卷 138402-138402页

作者： Jiaxing Yuan Hajime Tanaka Research Center for Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo 153-8904 Japan Department of Fundamental Engineering Institute of Industrial Science The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo 153-8505 Japan

Protein folding is a fundamental process critical to cellular function and human health, but it remains a grand challenge in biophysics. Hydrodynamic interaction (HI) plays a vital role in the self-organization of soft and biological materials, yet its role in protein folding is not fully understood despite folding occurring in a fluid environment. Here, we use the fluid particle dynamics method to investigate many-body hydrodynamic couplings between amino acid residues and fluid motion in the folding kinetics of a coarse-grained four-α-helices bundle protein. Our results reveal that HI helps select fast folding pathways to the native state without being kinetically trapped, significantly speeding up the folding kinetics compared to its absence. First, the directional flow along the protein backbone expedites protein collapse. Then, the incompressibility-induced squeezing flow effects retard the accumulation of non-native hydrophobic contacts, thus preventing the protein from being trapped in local energy minima during the conformational search of the native structure. We also find that the significance of HI in folding kinetics depends on temperature, with a pronounced effect under biologically relevant conditions. Our findings suggest that HI, particularly the short-range squeezing effect, may be crucial in avoiding protein misfolding.

关键词： Protein folding Polymer solutions Proteins Brownian dynamics Hydrodynamic models Statistical hydrodynamics

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Room Temperature Superfluorescence from an Electron-Hole Liquid

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Physical Review Letters 2025年第8期134卷 083801-083801页

作者： Naresh Aggarwal Ajay Kumar Poonia Dmitry N. Dirin Ihor Cherniukh Arijit Sinha Umesh V. Waghmare Maryna I. Bodnarchuk Sebastian Wüster Maksym V. Kovalenko Department of Physics Indian Institute of Science Education and Research Bhopal 462066 India Department of Chemistry and Applied Biosciences Laboratory of Inorganic Chemistry ETH Zürich CH-8093 Zürich Switzerland Empa - Swiss Federal Laboratories for Materials Science and Technology CH-8600 Dübendorf Switzerland Theoretical Sciences Unit Jawaharlal Nehru Centre for Advanced Scientific Research Bangalore 560 India

Superfluorescence, a coherent burst of light from an excited ensemble of emitters, is a crucial quantum optical phenomenon with far-reaching implications in nanophotonics and many-body optical processes. Despite its observation in various systems, realizing superfluorescence in an electron-hole plasma (EHP) at room temperature has remained a formidable challenge, hindering the development of continuous-wave and electrically excited superfluorescence devices. Herein, we address this challenge by condensing the high-density EHP into an electron-hole liquid (EHL) at room temperature, thereby preserving quantum coherence. Using a model system of nanocrystal thin films, we demonstrate the first experimental observation of room temperature superfluorescence from an EHL. Key attributes heralding superfluorescence include a redshift of ∼94 meV from uncorrelated exciton emission, a fluence-dependent delayed growth of macroscopic coherence with abrupt radiative decay ∼1250 times faster than spontaneous emission, a distinct quadratic fluence dependence with a clear threshold, and Burnham-Chiao ringing. These findings open up exciting possibilities for developing electrically pumped colloidal nanocrystals lasers and quantum technologies operating at room temperature.

关键词： Quantum optics

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Bidirectional state transfer between superconducting and microwave-photon qubits by single reflection

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Physical Review applied 2024年第5期21卷 054049-054049页

作者： Kazuki Koshino Kunihiro Inomata College of Liberal Arts and Sciences Tokyo Medical and Dental University Ichikawa Chiba 272-0827 Japan Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT) National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Ibaraki 305-8568 Japan

The number of superconducting qubits contained in a single quantum processor is increasing steadily. However, to realize a truly useful quantum computer, it is inevitable to increase the number of qubits much further by distributing quantum information among distant processors using flying qubits. A key element towards this goal is a deterministic quantum interaction between superconducting-atom and propagating microwave-photon qubits. Here, we confirm the bidirectional state transfer between them, which completes by simply reflecting the photon at the atom. The averaged fidelity of the photon-to-atom (atom-to-photon) state transfer reaches 0.826 (0.801), limited mainly by the lifetime of the atom qubit. The present technology would be useful for future distributed quantum computation with superconducting qubits.

关键词： Optical & microwave phenomena Quantum computation Quantum engineering Quantum state transfer Superconducting qubits

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