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Parameter assessment for scale-up of co- and counter-current photochemical reactors using non-collimated LEDs

CHEMICAL engineering RESEARCH & design 2021年 171卷 408-420页

作者： Meir, Glen Leblebici, M. Enis Kuhn, Simon van Gerven, Tom Katholieke Univ Leuven Dept Chem Engn Celestijnenlaan 200F B-3001 Heverlee Belgium Katholieke Univ Leuven Lab4U Fac Ind Engn Agoralaan Bldg B B-3590 Diepenbeek Belgium

Common cross-currently illuminated photochemical reactors lack energy efficiency to make them competitive in industry. The use of co- and counter-current illumination was previously proven to increase reactor performance, but these approaches made use of a collimated LED module whereby the used LED module itself having a lower than typical optical efficiency. In this paper, we study the use of non-collimated LEDs for the use in co- and counter-currently illuminated reactors. A ray tracing model was implemented in COM-SOL and was validated using experimental data. via these experimental data, the regime of no kinetic limitations was observed as conversion is not hampered by increasing light flux. via the model results, it was determined that the most suitable light source for optimal light absorption by the reagent was the most collimated LED possible, in this case witha total viewing angle of 10 degrees. The optimal reactor set-up uses the most reflective material, preferably aluminium or silver, to recuperate diverging light rays of the used wavelength. Furthermore, the wall thickness of the glass reactor must not be excessively thick, with an optimum at 1.5 mm wall thickness for this case. Regarding reagents and absorbance, it is best to use a higher concentration and reduce reactor length as this increases reactor performance under the condition that quantum yield is stable. via the use of non-collimated light, it was determined that the entrance efficiency can be increased compared to a fully collimated light source, at the cost of reflection losses that increase with path length. (C) 2021 Institution of Chemical Engineers. Published by Elsevier B.v. All rights reserved.

关键词： Photochemical reactor design Co-axial illumination Modelling COMSOL Ray tracing

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A Multimodal Lab-On-CMOS Based Biosensor System

A Multimodal Lab-On-CMOS Based Biosensor System

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IEEE Instrumentation and Measurement Technology Conference

作者： Andalib Nizam Nicole McFarlane Min H. Kao Department of Electrical Engineering and Computer Science The University of Tennessee Knoxville TN USA

ISBN: (数字)9798350380903

ISBN: (纸本)9798350380910

This paper presents the design of a multimodal sensor in CMOS integrated circuits for biosensor applications. The system consists of five sensor modalities: temperature, impedance, pH, electrochemical, and optical. The sensor electrode topology was simulated using COMSOL Multiphysics for an active electrode area of $100\times 100\mu \mathrm{m}^design$ . The readout was designed in a commercial 0.18 μm CMOS technology. Monte Carlo simulation was performed on the individual modalities, considering process variations. The pH sensor sensitivity was 91 mv/pH over the 5.71 to 7.31 range. The sensitivity of the temperature sensor was 0.6 mv/°C over a 10°C to 50 °C. The electrochemical sensor has a current range of 10 $nA$ and 5 μA over the 0.2-1.2 v range for cyclic voltammetry and amperometry.

关键词： Electrodes Temperature sensors Sensitivity Multimodal sensors Simulation Capacitance Frequency measurement

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Nanostructured supports for multienzyme co-immobilization for biotechnological applications: Achievements, challenges and prospects

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Advances in Colloid and Interface Science 2023年第1期315卷 102889页

作者： Zdarta, Jakub Kolodziejczak-Radzimska, Agnieszka Bachosz, Karolina Rybarczyk, Agnieszka Bilal, Muhammad Iqbal, Hafiz M.N. Buszewski, Boguslaw Jesionowski, Teofil Institute of Chemical Technology and Engineering Faculty of Chemical Technology Poznan University of Technology PoznanPL-60965 Poland School of Life Science and Food Engineering Huaiyin Institute of Technology Huaian223003 China Tecnologico de Monterrey School of Engineering and Sciences Monterrey64849 Mexico Department of Environmental Chemistry and Bioanalytics Faculty of Chemistry Nicolaus Copernicus University in Torun Torun Poland Interdisciplinary Centre of Modern Technologies Nicolaus Copernicus University in Torun Torun Poland

The synergistic combination of current biotechnological and nanotechnological research has turned to multienzyme co-immobilization as a promising concept to design biocatalysis engineering. It has also intensified the development and deployment of multipurpose biocatalysts, for instance, multienzyme co-immobilized constructs, via biocatalysis/protein engineering to scale-up and fulfil the ever-increasing industrial demands. Considering the characteristic features of both the loaded multienzymes and nanostructure carriers, i.e., selectivity, specificity, stability, resistivity, induce activity, reaction efficacy, multi-usability, high catalytic turnover, optimal yield, ease in recovery, and cost-effectiveness, multienzyme-based green biocatalysts have become a powerful norm in biocatalysis/protein engineering sectors. In this context, the current state-of-the-art in enzyme engineering with a synergistic combination of nanotechnology, at large, and nanomaterials, in particular, are significantly contributing and providing robust tools to engineer and/or tailor enzymes to fulfil the growing catalytic and contemporary industrial needs. Considering the above critics and unique structural, physicochemical, and functional attributes, herein, we spotlight important aspects spanning across prospective nano-carriers for multienzyme co-immobilization. Further, this work comprehensively discuss the current advances in deploying multienzyme-based cascade reactions in numerous sectors, including environmental remediation and protection, drug delivery systems (DDS), biofuel cells development and energy production, bio-electroanalytical devices (biosensors), therapeutical, nutraceutical, cosmeceutical, and pharmaceutical oriented applications. In conclusion, the continuous developments in nano-assembling the multienzyme loaded co-immobilized nanostructure carriers would be a unique way that could act as a core of modern biotechnological research. © 2023 Elsevier B.v.

关键词： Enzyme immobilization

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Research on Switching Characteristics and Pulse Control of Wide Bandgap Semiconductor SiC-Based Memristor

Research on Switching Characteristics and Pulse Control of W...

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IEEE International Conference on Integrated Circuit design and Technology (ICICDT)

作者： Haiming Qin Shilei Sun Nan He Yi Liu Xinpeng Wang Yi Tong College of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications Nanjing China Gusu Laboratory of Materials Suzhou China College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology) Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9798331517137

ISBN: (纸本)9798331517144

As advanced materials, wide bandgap semiconductors possess advantages such as high voltage and temperature tolerance, superior high-frequency characteristics, and low energy consumption, which have led to their widespread application in power devices. However, these excellent properties are also valuable for memristor applications. currently, there is a lack of research foundation on the switching characteristics of wide bandgap semiconductors when applied to memristors, and further exploration is needed on the conduction mechanism and other electrical characteristics. In this work, we designed crossbar arrays of wide bandgap semiconductor silicon carbide (SiC)-based memristor. Through characterization and electrical testing, we demonstrated that the switching characteristics are caused by the electrochemical metallization mechanism (ECM). On a single device, the transition from volatility to non-volatility can be achieved by controlling compliance current (CC), with a symmetrical operating voltage of about ±0.5 v, a large switching ratio of ~10 3 , and excellent pulse control ability. Our work paves the way for expanding the application of wide bandgap semiconductors and developing advanced memristors.

关键词： Temperature Photonic band gap Silicon carbide Metallization Memristors Switches Control systems voltage control Switching circuits Testing

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Investigation of AIGaN/GaN MISHEMTs with varied AIGaN Barrier Depths via a Low Damage ALE Process

Investigation of AIGaN/GaN MISHEMTs with Varied AIGaN Barrie...

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Technology, Systems and Applications (vLSI-TSA/vLSI-DAT), International vLSI Symposium on

作者： An-Chen Liu Hsin-Chu Chen Po-Tsung Tu Sung-Jin Cho Andrew Newton Yung-Yu Lai Yan-Lin Chen Po-Chun Yeh Shu-Tong Chang Hao-Chung Kuo Department of Photonics and Institute of Electro-Optical Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Advanced Semiconductor Packaging and Testing National Sun Yat-sen University Kaohsiung Taiwan Electronic and Optoelectronic System Research Laboratories Industrial Technology Research Institute Zhudong Taiwan Oxford Instruments Plasma Technology North End Yatton Bristol United Kingdom Research Center for Applied Sciences Nankang Taipei Taiwan Department of Electrical Engineering National Chung Hsing University Taichung Taiwan Semiconductor Research Center Hon Hai Research Institute Taipei Taiwan

ISBN: (数字)9798350360349

ISBN: (纸本)9798350360356

This study successfully demonstrates the low-damage Atomic Layer Etching (ALE) process in enhancing the performance of recessed gate Metal-Insulator-Semiconductor High Electron Mobility Transistors (MIS-HEMTs). Specifically the AlGaN/GaN recessed gate MIS-HEMT with a remaining thickness of 5 nm exhibited outstanding characteristics including the drain current of 400 mA/mm competitive threshold voltage (vTH) of the on/off current ratio of and the high breakdown voltage (Bv) of 830 v. Further the varying thicknesses of AlGaN recessed gates (2 3 and 5 nm) MIS-HEMTs were fabricated. Recessed gate MIS-HEMT with AlGaN remaining 5 nm thickness achieved a high Bv capability of 830 v at of 1 imm exceeding the AlGaN remaining 3 nm and 2 nm thicknesses which reached only 120 v and 75 v respectively. To investigate the significant Bv difference between the 5 nm and 3 nm AlGaN thicknesses the Technology Computer-Aided design (TCAD) simulation was employed. Analysis of the electric field distribution at a drain voltage (vn) of 50 v shows a clear peak near the gate edge with 3 nm remaining AlGaN thickness showing a higher electric field than 5 nm thickness. This difference is attributed to the presence or creation of gate edge defects which promote trap-assisted tunneling of electrons

关键词： Electron traps Logic gates very large scale integration Tunneling Etching Threshold voltage Wide band gap semiconductors

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Imgan: A Gan Architecture Integrating Inceptionext v2 and Mamba for Image Conversion from visible to Infrared

SSRN

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SSRN 2024年

作者： Xiao, Yuhang Zhang, Zhijia Yu, Yuehuan Fang, Jian Han, Xiao Zhao, Huaici School of Artificial Intelligence Shenyang University of Technology Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Optical Information and Simulation Technology Liaoning Province Shenyang China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang China Quartermaster Engineering Technology Research Department Systems Engineering Institute AMS PLA Beijing China

Compared with visible images, infrared images have stronger anti-interference capabilities and have significant target perception advantages in low light and complex environments. However, collecting infrared data is often costly and difficult, and even impossible for some specific scenarios. Therefore, it is necessary to use deep learning methods to convert easily acquired visible images into infrared images to meet the needs of infrared scene prediction. However, existing GAN-based visible-to-infrared image conversion methods often suffer from problems such as insufficient confidence, blurred details, and infrared chromatic aberration. To address these challenges, we propose an efficient visible-to-infrared image conversion method based on GAN, named IMGAN. In the generative network, we use InceptioNeXt v2 network as the encoder, which is lighter and more performant than ConvNeXt v2. A state space model that can efficiently capture global semantic information, Mamba, and a designed local feature enhancement module are combined as the decoder to improve the fidelity of generated images. To better highlight the key features of infrared images, we design a guided fusion strategy. Additionally, we design texture loss and color loss as auxiliary constraints to solve the problems of rough texture and color distortion in generated infrared images. The method was tested on four different datasets and compared with existing methods including Pix2Pix, ThermalGAN and InfraGAN. Compared with the current open source SOTA InfraGAN architecture, our method achieves improvements of +2.38% on SSIM and +7.28% on PSNR on the vEDAI dataset. © 2024, The Authors. All rights reserved.

关键词： Gallium nitride

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Unveiling the nature of room-temperature-fabricated p-type SnO thin films: the critical role of intermediate phases, lattice disorder, and oxygen interstitials †

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Materials Advances 2024年第11期5卷 4679-4688页

作者： Mochamad Januar Cheng-Yu Lu Horng-Chih Lin Tsung-Yu Huang Chia-Ming Yang Kuo-Kang Liu Kou-Chen Liu Department of Electronic Engineering Chang Gung University Taoyuan 33302 Taiwan cmyang@mail.cgu.edu.tw jacobliu@mail.cgu.edu.tw Department of Materials Engineering Ming Chi University of Technology New Taipei City 24301 Taiwan huang.tsungyu@mail.mcut.edu.tw Department of Electronics Engineering and Institute of Electronics National Yang Ming Chiao Tung University Hsinchu 300 Taiwan Institute of Electro-Optical Engineering Chang Gung University Taoyuan City 33302 Taiwan Biosensor Group Biomedical Engineering Research Center Chang Gung University Taoyuan City 33302 Taiwan Department of General Surgery Chang Gung Memorial Hospital at Linkou Taoyuan City 333 Taiwan Department of Neurosurgery Chang Gung Memorial Hospital at Linkou Taoyuan City 333 Taiwan School of Engineering University of Warwick Coventry CV4 7AL UK Division of Pediatric Infectious Disease Department of Pediatrics Chang Gung Memorial Hospital at Linkou Taoyuan City 333 Taiwan Healthy Aging Research Center Chang Gung University Taoyuan 33302 Taiwan

The fabrication of p-type tin monoxide (SnO) thin films at room temperature poses significant challenges for conventional methods, primarily due to the electrically anisotropic nature and metastable phases of SnO. Because of this anisotropy, generating effective hole carriers with optimal mobility in SnO requires meticulous thermal annealing, which is nonetheless constrained by SnO's metastability. In this work, we employ ion-beam-assisted deposition (IBAD) to fabricate p-type SnO thin films at room temperature. These films, with their nanocrystalline structure, demonstrate promising electrical performance with a Hall mobility of 2.67 cm 2 v −1 s −1 and hole concentration of 5.94 × 10 17 cm −3 , notably without the need for annealing treatment. Our investigation has revealed a unique volcano-shaped trend in Hall mobility, and inversely, in carrier concentration in response to variations in the argon flow rate during the IBAD process. This relationship, when correlated with changes in the optical properties, structural phase, and chemical state of the films, is crucial for understanding the origin of p-type conductivity in room-temperature-fabricated SnO films—a topic that remains elusive in the current literature. We observed a direct correlation between enhanced mobility and reduced lattice disorder, as well as a strong association between increasing hole carrier concentration and the formation of oxygen interstitials. We also highlight that the intermediate phase composition plays a vital role in determining the degree of disorder in the SnO film, which is essential for creating transport pathways and the oxygen environment necessary for hole carrier formation. These insights are instrumental in guiding the design and characterization of room-temperature fabricated p-type SnO thin films, thus propelling advancements in the field of large-area, flexible electronics.

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An Efficient Way of design of Framework using CNN and MLP Algorithms to find B Cancer

An Efficient Way of Design of Framework using CNN and MLP Al...

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： S.Zulaikha Beevi Anurag Aeron v. Manimegalai T Maheshwaran Sarah Jassim Abed Aqeel Al-Hilali Department of CSE Karpagam College of Engineering Myleripalayam Coimbatore Department of CSE MIET Meerut Meerut Nandha Engineering College (Autonomous) Vaikalmedu TN India Department of Information Technology Sri Manakula Vinayagar Engineering College Puducherry Collage of Nursing National University of Science and Technology Dhi Qar Iraq Al-Farahidi university Baghdad Iraq

ISBN: (数字)9798350360165

ISBN: (纸本)9798350360172

Cancer is a formidable worldwide health concern, characterised by a notable death rate. Breast cancer is one of the main causes of this statistic, taking many lives annually. Prognostic progress has become more and more dependent on gene expression analysis, thanks to recent developments in deep learning algorithms and high-throughput sequencing technologies. Accompanying conventional diagnostic-imaging indicators such as breast density and tissue texture, which are extensively employed by medical professionals and automated technologies, accurate determination of cancer risk is extremely valuable in directing tailored screening and prophylactic measures. Deep learning has become a potent tool for classification and prediction problems in this setting, especially in the field of breast imaging. Here, we present a brand-new deep learning method intended to estimate the risk of breast cancer. Using the CNN and MLP architecture, our approach expands on transfer learning Specifically, our model incorporates risk indicators to improve the evaluation of breast cancer risk, exhibiting better results than current approaches. This paper also examines risk markers for breast cancer, explaining how to utilise them appropriately and outlining their advantages and disadvantages when used with different risk prediction models. It also explores the growing significance of deep learning in risk assessment, highlighting the ability of our suggested model to automate several medical imaging modalities.

关键词： Deep learning Sequential analysis Computational modeling Transfer learning Neural networks Predictive models Prediction algorithms

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High-power photoreceivers for large dynamic range: High frequency photonic RF links

High-power photoreceivers for large dynamic range: High freq...

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2020 International Conference on Space Optics, ICSO 2020

作者： Schaub, F. Liverini, v. Portuondo-Campa, E. Lecomte, S. Meier, H. Albis Optoelectronics AG Moosstrasse 2a Rueschlikon8803 Switzerland Jaquet-Droz 1 Neuchâtel2000 Switzerland

This contribution summarizes the status of our current development of a novel, high-power and high-linearity photodiode. This photodiode is specifically designed to operate over an exceptionally wide optical input power range from below - 10 dBm up to + 20 dBm without relying on self-biasing effects, making it a versatile solution in many potential analog optical RF applications. The backside illuminated photodiode offers a large active diameter, which enables high coupling efficiency, allows optimization of the optical launch conditions to improve the optical saturation current and linearity as well as to improve the thermal power dissipation, which is required for high power operation. The high-power photodiodes, flip-chip-bonded to their heat-dissipation carriers, have been integrated in a hermetically sealed, rugged package with built-in matching circuit and bias-T. The thermal design and the opto-electrical characterization such as bandwidth and linearity will be presented. Preliminary gamma and proton irradiation testing, have been performed with promising results. © 2021 ESA and CNES

关键词： Proton irradiation

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Small-ELF Telescope - structural application of tensegrity and other techniques for large, light-weight telescopes 73

Small-ELF Telescope - structural application of tensegrity a...

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73rd International Astronautical Congress, IAC 2022

作者： Zhou, Ye Kuhn, J.R. Langlois, M. Moretto, G. Rebolo, R. Lodieu, N. Lewis, K. Dynamic Intelligent Structures Ltd. 8108 Shaughnessy St. VancouverBCV6P3X8 Canada IfA/ATRC Univ. of Hawaii Maikalani KulaHI96790 United States MorphOptics KulaHI96790 United States Centre de Recherche Astrophysique de Lyon CNRS Saint-Genis-Laval69230 France Instituto de Astrofísica de Canarias/IAC Tenerife La Laguna Spain

Small-ELF is a 3.5-meter telescope currently in development that will serve as a science and technology demonstrator for the much larger telescope named ELF (ExoLife Finder). It is not only a prototype 4m-class hybrid optical telescope for high contrast astronomical imaging, but will also demonstrate the technologies needed for ultra-large 25-50m narrow-field telescopes. The ELF is proposed to be built with a minimum effective diameter of 12-meters and is designed to be scalable to a much larger size. The primary objective of the proposed design approach is to radically improve the system's capabilities for direct-imaging of exoplanets while keeping costs well below the current flagship observatories. As a technology demonstrator, the mechanical design of Small-ELF intends to deliver a versatile and reliable experimental platform to implement and verify several new techniques: the use of a tensegrity-based configuration for a light-weight supporting structure, the use of tensioned ropes to actively adjust the telescope geometry, methods of accommodating sub-apertures of significant weight variations, and methods of controlling and mitigating vibrations associated with light-weighted structures through active and passive damping systems. The design also adopts techniques for efficient precision manufacturing and cost control. The unique optical layout and application of tensegrity produce significant weight and subsequent cost reductions. This technology demonstrator tackles the cost and scalability problem faced by most existing telescopes and intends to open a new chapter in large telescope structural design methodology. The developed techniques for very large telescopes also synergize with the receiver design for Breakthrough Starshot, a research and engineering program aiming to demonstrate proof of concept for a new technology, enabling ultra-light uncrewed space flight at 20% of the speed of light, and to lay the foundations for a flyby mission to Alpha Centaur

关键词： Cost reduction

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