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Laser Applications in Microelectronic and Optoelectronic Manufacturing (LAMOM) XXVIII 2023

作者： Anderson, Patrick Aranas, Erika Black, Richard Bucciarelli, Stefano Caballero, Marco Cameron, Pashmina Canakci, Burcu Chatzieleftheriou, Andromachi Clegg, James Cletheroe, Daniel Cooper, Bridgette Deegan, Tim Donnelly, Austin Drevinskas, Rokas Gkantsidis, Christos Diaz, Ariel Gomez Haller, Istvan Heard, Philip Ilieva, Teodora Joyce, Russell Legtchenko, Sergey Magalhaes, Bruno Ogus, Aaron Rowstron, Ant Sakakura, Masaaki Schreiner, Nina Smith, Adam Stefanovici, Ioan Sweeney, David Wainman, Phil Whittaker, Charles Williams, Hugh Winkler, Thomas Winzeck, Stefan Microsoft Research Cambridge United Kingdom

ISBN: (纸本)9781510659216

The demand for long-term data storage in the cloud grows continuously into the zettabytes. Operating at such scales requires a fundamental re-thinking of how we build large-scale storage systems to archive data in a sustainable and cost-effective manner. In Project Silica, a storage technology for the cloud is being designed and developed from the media up by leveraging the recent progress in ultrafast laser nano-structuring of the transparent media. Together with the advances in reading, decoding and error correction processes, high-density and high-throughput multi-dimensional volumetric optical data writing is achieved, enabling successful end-to-end proof-of-concept demonstrations of the technology. With exceptional media longevity, this could transform archival cloud storage. Here we briefly discuss the development of the technology, key metrics for cost-efficient optical data storage at scale, and successful proof-of-concept demonstrations. © 2023 SPIE.

关键词： Cost effectiveness

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Exploring the effects of zirconium doping on barium titanate ceramics: structural, electrical, and optical properties

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MATERIALS advances 2025年第4期6卷 1403-1413页

作者： Islam, Suravi Molla, Mohammad Robel Khatun, Nazia Tanvir, Nazmul Islam Hakim, Mahmuda Islam, Md. Saidul Bangladesh Council Sci & Ind Res BCSIR Ind Phys Div BCSIR Dhaka Labs Dhaka 1205 Bangladesh BCSIR Biomed & Toxicol Res Inst BTRI Dhaka 1205 Bangladesh

In this study, polycrystalline BaZrxTi1-xO3 (x = 0.00, 0.05, 0.10, 0.15, and 0.20) ceramics were synthesized through a solid-state reaction technique. The effect of zirconium doping on the properties of barium titanate (BaTiO3) was investigated by various characterization tools. The structural and morphological properties of the synthesized materials were studied by X-ray diffraction (XRD), Raman spectroscopy, and field emission scanning electron microscopy (FE-SEM). The electrical properties of the Zr-doped BaTiO3 (BZT) materials were examined by impedance spectroscopy and the optical properties were investigated using UV-Vis-NIR spectroscopy. The XRD analyses of the prepared BZT materials revealed a single-phase tetragonal structure. The inclusion of Zr4+ in the BT matrix did not significantly affect the Raman-active modes, suggesting that the tetragonal crystal structure was retained in the as-synthesized samples. FE-SEM analyses revealed that the grain size initially increased from 49.36 nm to 53.24 nm for x = 0.05 wt% and then decreased gradually for higher concentrations up to x = 0.15 wt% (26.99 nm). The dielectric constant, dielectric loss, conductivity, and quality factor determined from the impedance data demonstrated that Zr4+ addition significantly influenced the electrical properties of BT. The band gap energy, Eg, of the synthesized samples were found in the range of 3.19-3.37 eV, which was calculated from the diffuse reflection data. The experimental results suggest that the BZT ceramic materials are suitable for energy storage device applications.

关键词： Barium titanate

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Mechanism and data based modelling method of photovoltaic energy storage and transmission system 9

Mechanism and data based modelling method of photovoltaic en...

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9th International Symposium on advances in Electrical, Electronics, and Computer Engineering, ISAEECE 2024

作者： Gu, Huaiguang Kou, Longze Gao, Yuqin Liu, Dong Liu, Dan Li, Linzhuo State Grid Smart Grid Research Institute Co. Ltd. Changping District Beijing102209 China State Key Laboratory of Advanced Power Transmission Technology Changping District Beijing102209 China Beijing Key Laboratory of DC Grid Technology and Simulation Changping District Beijing102209 China State Grid Hubei Electric Power Research Institute Hubei Wuhan430077 China North China Electric Power University Hebei Baoding071000 China

ISBN: (纸本)9781510683303

The power system model with power electronic equipment is usually a mechanism model, which needs to solve large-scale nonlinear differential algebraic equations. The solution process requires a large number of iterations, with a large amount of calculation. To address these issues in the mechanism model, a mechanism and data based modelling method based on artificial intelligence algorithms is proposed. This method replaces some complex mechanism models with data models, which can reduce the problem of requiring a large number of iterations for power electronic devices in the mechanism model. By controlling the sampling time, the accuracy control of the mechanism and data based model is achieved, finally, the mechanism and data based model of photovoltaic energy storage and transmission system is completed, improving the running speed. © 2024 SPIE ·

关键词： data modeling Solar energy Modeling Photovoltaics Batteries Solar cells Electronic components

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Holographic Plastics with Liquid Crystals

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MACROMOLECULES 2024年第6期57卷 2557-2573页

作者： Wang, Dan Liu, Sen Wei, Wei Guo, Hongxi Zhang, Yun Peng, Haiyan Zhou, Xingping Xie, Xiaolin Huazhong Univ Sci & Technol HUST Sch Chem & Chem Engn Key Lab Mat Chem Energy Convers & Storage Minist Educ Wuhan 430074 Peoples R China HUST Sch Mat Sci & Engn Wuhan 430074 Peoples R China HUST State Key Lab Mat Proc & Die & Mould Technol Wuhan 430074 Peoples R China HUST Natl Anticounterfeit Engn Res Ctr Wuhan 430074 Peoples R China

Holography via laser interference is a powerful technique for precise processing of plastics by creating ultrafine structures down to the nanometer level. As all of the information from the laser can be reconstructed in these ultrafine structures by periodic refractive index modulation, the produced holographic plastics have been recognized to be indispensable for flexible and lightweight three-dimensional displays, augmented/virtual reality, high-density data storage, advanced anticounterfeiting, etc. Particularly, the marriage of liquid crystals (LCs) with holographic plastics not only is profitable for facile holographic processing but also can impart versatile stimuli-response functions. However, despite extensive research on this interdisciplinary field, several fundamental questions are still unclear. (1) Is there any simple form to illustrate how the refractive index modulation manipulates light propagation? (2) Does the refractive index modulation work in the same way for different types of holograms? (3) What are the big challenges for future practical applications? With these questions in mind, this perspective presents several important equations for both transmission and reflection holograms, summarizes updated advances in the field, and finally calls for endeavors to meet the urgent needs in rapidly growing information technology.

关键词： Diffraction Liquid chromatography Monomers optical properties Plastics

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Study on site selection for pumped-storage power plants, wind farms, and photovoltaic power plants 8

Study on site selection for pumped-storage power plants, win...

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8th International Symposium on advances in Electrical, Electronics, and Computer Engineering, ISAEECE 2023

作者： Jiang, Qi Chen, Zhixu Sun, Ping Wang, Lei PowerChina Beijing Engineering Corporation Limited Beijing China North China Branch Of State Grid Corporation Of China Beijing China State Grid Xin Yuan Company Limited Beijing China

ISBN: (纸本)9781510666290

Based on the actual engineering perspective, this paper presents the site of pumped storage power plants, which is determined by collecting and processing elevation data, river system data, road data, meteorological data, building a river system model, optimizing the dam axis model, calculating indexes and matching upper and lower reservoirs to propose a site for pumped storage power plants. We have constructed a comprehensive evaluation system to determine the location of pumped storage plants, wind farms, and photovoltaic plants to provide reference suggestions and research ideas for the initial selection of a new energy base that integrates wind and storage. © 2023 SPIE. All rights reserved.

关键词： Pumped storage power plants

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Ostensibly perpetual optical data storage in glass with ultra-high stability and tailored photoluminescence

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Opto-Electronic advances 2023年第1期6卷 1-8页

作者： Zhuo Wang Bo Zhang Dezhi Tan Jianrong Qiu State Key Laboratory of Modern Optical Instrumentation and College of Optical Science and EngineeringZhejiang UniversityHangzhou 310027China Zhejiang Lab Hangzhou 311100China CAS Center for Excellence in Ultra-intense Laser Science Chinese Academy of SciencesShanghai 201800China

Long-term optical data storage(ODS)technology is essential to break the bottleneck of high energy consumption for information storage in the current era of big ***,ODS with an ultralong lifetime of 2×10^(7)years is attained with single ultrafast laser pulse induced reduction of Eu^(3+)ions and tailoring of optical properties inside the Eu-doped aluminosilicate *** demonstrate that the induced local modifications in the glass can stand against the temperature of up to 970 K and strong ultraviolet light irradiation with the power density of 100 kW/cm^(2).Furthermore,the active ions of Eu^(2+)exhibit strong and broadband emission with the full width at half maximum reaching 190 nm,and the photoluminescence(PL)is flexibly tunable in the whole visible region by regulating the alkaline earth metal ions in the *** developed technology and materials will be of great significance in photonic applications such as long-term ODS.

关键词： ultrafast laser photoluminescence tailoring ultralong lifetime optical data storage

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Deep learning in optical metrology:a review

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Light(Science & Applications) 2022年第4期11卷 466-519页

作者： Chao Zuo Jiaming Qian Shijie Feng Wei Yin Yixuan Li Pengfei Fan Jing Han Kemao Qian Qian Chen Smart Computational Imaging(SC)Laboratory Nanjing University of Science and Technology210094 NanjingJiangsu ProvinceChina Jiangsu Key Laboratory of Spectral Imaging&Intelligent Sense Nanjing University of Science and Technology210094 NanjingJiangsu ProvinceChina School of Engineering and Materials Science Queen Mary University of LondonLondon E14NSUK School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore

With the advances in scientific foundations and technological implementations,optical metrology has become versatile problem-solving backbones in manufacturing,fundamental research,and engineering applications,such as quality control,nondestructive testing,experimental mechanics,and *** recent years,deep learning,a subfield of machine learning,is emerging as a powerful tool to address problems by learning from data,largely driven by the availability of massive datasets,enhanced computational power,fast data storage,and novel training algorithms for the deep neural *** is currently promoting increased interests and gaining extensive attention for its utilization in the field of optical *** the traditional,,physics-basedH approach,deep-learning-enabled optical metrology is a kind of,/data-drivenw approach,which has already provided numerous alternative solutions to many challenging problems in this field with better *** this review,we present an overview of the current status and the latest progress of deep-learning technologies in the field of optical *** first briefly introduce both traditional image-processing algorithms in optical metrology and the basic concepts of deep learning,followed by a comprehensive review of its applications in various optical metrology tasks,such as fringe denoising,phase retrieval,phase unwrapping,subset correlation,and error *** open challenges faced by the current deep-learning approach in optical metrology are then ***,the directions for future research are outlined.

关键词： backbone subset versatile

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Structural, morphological, optical, and electrochemical studies of α-Bi2O3 and CuBi2O4 photocathode materials

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MRS advances 2024年第21期9卷 1649-1657页

作者： Naher, Mst. Irin Tanvir, Nazmul Islam Bitu, Nur Amin Khatun, Nazia Islam, Suravi Islam, Md. Saidul Shaikh, Md. Aftab Ali Farhad, Syed Farid Uddin BCSIR BCSIR Dhaka Labs Ind Phys Div Energy Convers & Storage Res Sect Dhaka Bangladesh BCSIR Cent Analyt & Res Facil CARF Dhaka 1205 Bangladesh Bangladesh Council Sci & Ind Res BCSIR Dhaka 1205 Bangladesh

Herein, we synthesized tetragonal CuBi2O4 powder from raw Bi2O3 and CuO powders by the combination of hand-milling and ball-milling and subsequent sintering at 750 degrees C for 4 h in air. The structural, morphological, optical, and physicochemical properties of Bi2O3 and CuBi2O4 powder samples were examined by a variety of characterization tools including X-ray diffraction (XRD), Raman spectroscopy, Scanning electron microscopy (SEM), UV-Vis-NIR spectroscopy, X-ray photoelectron spectroscopy (XPS), and electrochemical workstation. The combined XRD and Raman data analyses confirmed the monoclinic (P2(1)/c) and tetragonal (P4/ncc) phases of alpha-Bi2O3 and CuBi2O4, respectively. The average crystallite domain size was estimated to be similar to 72 nm for alpha-Bi2O3 and similar to 50 nm for CuBi2O4. SEM micrographs exhibit microrod-like morphologies for alpha-Bi2O3 and spherical nanograin-like morphologies for CuBi2O4. XPS studies revealed the Bi 4f peak split into Bi 4f(5/2) and Bi 4f(7/2) and the presence of Bi3+ valence states for both alpha-Bi2O3 and CuBi2O4, whereas Cu2+ valence state for CuBi2O4. The optical bandgap was estimated from diffuse reflection data and found to be similar to 2.62 and similar to 1.77 eV for alpha-Bi2O3 and CuBi2O4, respectively. Finally, Cyclic Voltammetry and (Photo)Electrochemical Impedance studies of alpha-Bi2O3 and CuBi2O4 slurries atop the screen-printed gold electrode with aqueous Na2SO4 electrolyte were conducted and compared to demonstrate a quick assessment technique of their photocatalytic performance.

关键词： X ray photoelectron spectroscopy

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Deep learning empowered highly compressive SS-OCT via learnable spectral-spatial sub-sampling

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OPTICS LETTERS 2023年第7期48卷 1910-1913页

作者： Ling, Yuye Dong, Zhenxing Li, Xueshen Gan, Yu Su, Yikai Shanghai Jiao Tong Univ Dept Elect Engn Shanghai 200240 Peoples R China Stevens Inst Technol Dept Biomed Engn Hoboken NJ USA Shanghai Jiao Tong Univ Dept Elect Engn State Key Lab Adv Opt Commun Syst & Networks Shanghai 200240 Peoples R China

With the rapid advances of light source technology, the A-line imaging rate of swept-source optical coherence tomog-raphy (SS-OCT) has experienced a great increase in the past three decades. The bandwidths of data acquisition, data transfer, and data storage, which can easily reach several hundred megabytes per second, have now been considered major bottlenecks for modern SS-OCT system design. To address these issues, various compression schemes have been previously proposed. However, most of the current meth-ods focus on enhancing the capability of the reconstruction algorithm and can only provide a data compression ratio (DCR) up to 4 without impairing the image quality. In this Letter, we proposed a novel design paradigm, in which the sub-sampling pattern for interferogram acquisition is jointly optimized with the reconstruction algorithm in an end-to -end manner. To validate the idea, we retrospectively apply the proposed method on an ex vivo human coronary opti-cal coherence tomography (OCT) dataset. The proposed method could reach a maximum DCR of-62.5 with peak signal-to-noise ratio (PSNR) of 24.2 dB, while a DCR of-27.78 could yield a visually pleasant image with a PSNR of-24.6 dB. We believe the proposed system could be a viable remedy for the ever-growing data issue in SS-OCT.(c) 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： Discrete Fourier transforms Image enhancement Image quality optical coherence tomography Reconstruction algorithms Systems design

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Analysis and optimization of production, storage, and economy of photocatalysis hydrogen system for taxi industry in Hong Kong 9

Analysis and optimization of production, storage, and econom...

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9th International Symposium on advances in Electrical, Electronics, and Computer Engineering, ISAEECE 2024

作者： Huang, Yixiao Wang, Juncong Shen, Yicheng Yan, Chang Liu, Ziyin School of Engineering The Hong Kong University of Science and Technology 999077 Hong Kong University of Birmingham BirminghamB152TT United Kingdom Shanghai Pinghe School Shanghai206201 China Environmental Studies University of Washington Seattle98195 United States Episcopal High School AlexandriaVA22302 United States

ISBN: (纸本)9781510683303

The research aims to determine the optimal hydrogen production efficiency through photocatalysis to fulfill the increasing demand for hydrogen in altering all taxis to Proton Exchange Membrane Fuel Cells (PEMFC) in Hong Kong. The primary focus is on investigating the scale of the photocatalysis reactor to achieve this goal. The study seeks to identify a minimum efficiency value that aligns with the economic efficiency occurring for hydrogen production. The research will employ MATLAB modeling to analyze and optimize the collected data. The paper will then evaluate the optimized data based on economic effectiveness principles within the hydrogen energy system context. By accomplishing this, the study endeavors to contribute valuable insights and recommendations to enhance the efficiency of hydrogen production, ensuring its compatibility with Hong Kong taxi service demands and economic viability. © 2024 SPIE.

关键词： Hydrogen storage

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