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Machine Vision Observation, Artificial Intelligence Pattern Recognition, Protective Circuit Design, Characterization of Multiple materials, and Nano-Structural Analysis for Investigating InGaN Green Light Emitting Diode Degradation in a Salty Water Vapor Environment

Machine Vision Observation, Artificial Intelligence Pattern ...

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2024 IEEE International Reliability Physics Symposium, IRPS 2024

作者： Chen, Cheng-Shan Yang, Chun-Yen Yang, Shao-Jui Wang, Deng-Yi Kuo, Yaw-Wen Hsiao, Wei-Han Chou, Hsin-Hung Lin, Chia-Feng Li, Yung-Hui Wu, Yewchung Sermon Chen, Hsiang Han, Jung National Yang Ming Chiao Tung University Department of Materials Science and Engineering Hsinchu30010 Taiwan National Chi Nan University Department of Electrical Engineering Nantou54561 Taiwan National Chi Nan University Department of Applied Materials and Optoelectronic Engineering Nantou54561 Taiwan Chang Gung University Department of Electrical Engineering Taoyuan33302 Taiwan National Chi Nan University Department of Computer Science & Information Engineering Nantou54561 Taiwan National Chung Hsing University Department of Materials Science and Engineering Taichung40227 Taiwan Hon Hai Research Institute AI Research Center Taipei11494 Taiwan Yale University Department of Electrical Engineering New HavenCT06511 United States

ISBN: (纸本)9798350369762

This study delves into the degradation of GaN-based LEDs in saline environments, a relatively underexplored area of research. LEDs are known for their longevity, but face challenges under extreme conditions. Utilizing artificial intelligence, machine vision, and material analysis, this study detects early signs of LED degradation[1], [2]. The results highlight the impact of saline exposure on LED performance, with some LEDs continuing to function for up to 30 minutes before failure. Advanced circuits ensure uninterrupted operation. Encompassing electrical engineering, computer science, and materials science, this study provides a comprehensive approach to LED fault detection and protection. © 2024 IEEE.

关键词： III-V semiconductors

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Multi-robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees

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SN computer science 2024年第1期5卷 31页

作者： Mukhopadhyay, Shayok Umari, Hassan Koirala, Koshish Electrical & Computer Engineering and Computer Science Department University of New Haven 300 Boston Post Rd West Haven 06516 CT United States Department of Electrical Engineering American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates Mechatronics Engineering graduate program American University of Sharjah Sharjah P.O. Box 26666 United Arab Emirates

A map is necessary for tasks such as path planning or localization, which are common to mobile robot navigation. However, a map may be unavailable if the environment in which a robot navigates is unknown. Creating a map requires an exploration algorithm. Such algorithms guide robots to boundaries that separate known portions of a map from the unknown portions. Such boundaries are known as frontiers. There are image processing-based algorithms that detect frontiers. The authors’ previous work uses two, i.e., local and global, rapidly exploring random trees (RRTs) for two-dimensional exploration using a single robot. The present work applies the above to a multiagent system with three robots. A market-based strategy is used to allocate exploration tasks to the robots. Results show that the developed exploration strategy successfully explores a map in a reasonable amount of time compared to image processing-based approaches, and also reduces the map exploration cost. This strategy is readily usable for three-dimensional exploration with drones. It is also shown that the usage of a local frontier detector along with a global frontier detector helps reduce exploration time compared to simply using a global frontier detector alone. As an outline to future work, the paper also shows an extension of the proposed approach towards three-dimensional mapping using a single robot. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Exploration Mapping Multi-agent Navigation ROS RRT

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Super-Resolution Displacement Spectroscopic Sensing over a Surface“Rainbow”

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engineering 2022年第10期17卷 75-81页

作者： Lyu Zhou Nan Zhang Chang Chieh Hsu Matthew Singer Xie Zeng Yizheng Li Haomin Song Josep Jornet Yun Wu Qiaoqiang Gan Department of Electrical Engineering The State University of New York at BuffaloBuffaloNY 14260USA Department of Biomedical Engineering The State University of New York at BuffaloBuffaloNY 14260USA Department of Electrical and Computer Engineering Northeastern UniversityBostonMA 02115USA Material Science Engineering Program King Abdullah University of Science and TechnologyThuwal 23955-6900Saudi Arabia

Subwavelength manipulation of light waves with high precision can enable new and exciting applications in spectroscopy,sensing,and medical *** these applications,miniaturized spectrometers are desirable to enable the on-chip analysis of spectral *** particular,for imaging-based spectroscopic sensing mechanisms,the key challenge is to determine the spatial-shift information accurately(i.e.,the spatial displacement introduced by wavelength shift or biological or chemical surface binding),which is similar to the challenge presented by super-resolution ***,we report a unique"rainbow"trapping metasurface for on-chip spectrometers and *** with super-resolution image processing,the low-setting 4×optical microscope system resolves a displacement of the resonant position within 35 nm on the plasmonic rainbow trapping metasurface with a tiny area as small as0.002 *** unique feature of the spatial manipulation of efficiently coupled rainbow plasmonic resonances reveals a new platform for miniaturized on-chip spectroscopic analysis with a spectral resolution of 0.032 nm in wavelength *** this low-setting 4×microscope imaging system,we demonstrate a biosensing resolution of 1.92×109exosomes per milliliter for A549-derived exosomes and distinguish between patient samples and healthy controls using exosomal epidermal growth factor receptor(EGFR)expression values,thereby demonstrating a new on-chip sensing system for personalized accurate bio/chemical sensing applications.

关键词： Rainbow trapping Metasurface Surface plasmon polaritons Super-resolution displacement On-chip biosensing

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Evaluation of temperature dependent vortex pinning properties in strongly pinned YBa_(2)Cu_(3)O_(7-δ)thin films with Y_(2)BaCuO_(5)nanoinclusions

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Superconductivity 2024年第1期9卷 95-105页

作者： Alok K.Jha Kaname Matsumoto Tomoya Horide Shrikant Saini Ataru Ichinose Paolo Mele Yutaka Yoshida Satoshi Awaji Department of Materials Science and Engineering Kyushu Institute of TechnologyTobata-kuKitakyushu 804-8550Japan Department of Mechanical and Control Engineering Kyushu Institute of TechnologyTobata-kuKitakyushu 804-8550Japan Central Research Institute of Electrical Power Industry YokosukaKanagawa 240-0196Japan College of Engineering-Innovative Global Program Shibaura Institute of TechnologyMinuma-kuSaitama 337-8570Japan Department of Energy Engineering and Science Nagoya UniversityChikusa-kuNagoya 464-8603Japan Institute for Materials Research Tohoku UniversityAoba-kuSendai 980-8577Japan

The pinning of quantized magnetic vortices in superconducting YBa_(2)Cu_(3)O_(7-δ)(YBCO or Y123)thin films with Y_(2)BaCuO_(5)(Y211)nanoinclusions have been investigated over wide temperature range(4.2-77 K).The concentration of Y211 nanoinclusions has been systematically varied inside YBCO thin films prepared by laser ablation technique using surface modified target *** pinning force density values(Fp∼0.5 TNm^(−3)at 4.2 K,9 T)have been observed for the YBCO film with moderate concentration of Y211 nanoinclusions(3.6 area%on ablation target).In addition,uniform enhancement in critical current density(J_(c))was observed in the angular dependent J_(c)measurement of YBCO+Y211 nanocomposite films.Y211 nanoinclusions have been found to be very efficient in pinning the quantized vortices thereby enhancing the in‐field J_(c)values over a wide range of *** the concentration of Y211 secondary phase into Y123 film matrix results into agglomeration of Y211 phase and observed as increased Y211 nanoparticle *** larger secondary phase nanoparticles are not as efficient pinning centers at lower temperatures as they are at higher temperatures due to substantial reduction of the coherence length at lower *** of the temperature dependence of J_(c)for YBCO+Y211 nanocomposite films has been conducted and possible vortex pinning mechanism in these nanocomposite films has been discussed.

关键词： YBCO thin film Critical current Vortex pinning Nanoscale APCs

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Continuum Modeling and Optimization of Group-V Doping in CdSex Te1-x 52

Continuum Modeling and Optimization of Group-V Doping in CdS...

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52nd IEEE Photovoltaic Specialist Conference, PVSC 2024

作者： Xiang, Xiaofeng Gehrke, Aaron Tong, Yijun Dunham, Scott T. Molecular Engineering & Sciences Institute University of Washington SeattleWA98195 United States University of Washington Department of Materials Science & Engineering SeattleWA98195 United States University of Washington Department of Electrical & Computer Engineering SeattleWA98195 United States

ISBN: (纸本)9781665464260

CdTe and its alloy CdSeTe are widely used in optoelectronic devices, such as radiation detectors and solar cells, due to their superior electrical properties. However, the formation of point defects and defect complexes in these materials can significantly affect their performance. As a result, understanding the point defect formation and interaction processes in CdTe and CdSeTe alloy is of great importance. In recent years, density functional theory (DFT) calculations have emerged as a powerful tool for investigating the properties of defects in semiconductors. In this paper, we use the results of DFT+U calculations and continuum model to understand and optimize As and P dopability in CdSeTe alloy. © 2024 IEEE.

关键词： Cadmium telluride

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Analytical Methods for Determining High Frequency Winding Loss for Toroidal Inductors

Analytical Methods for Determining High Frequency Winding Lo...

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2023 IEEE Electric Ship Technologies Symposium, ESTS 2023

作者： Marzec, Todd J. Raju, Ravisekhar Grainger, Brandon Ohodnicki, Paul R. University of Pittsburgh Department of Electrical and Computer Engineering Pittsburgh United States Fastwatt Llc Clifton Park United States University of Pittsburgh Department of Mechanical Engineering and Materials Science Pittsburgh United States

ISBN: (纸本)9781665465151

Inductors are energy storage devices that serve as key components in power conversion technology. The advent of wide-bandgap (WBG) semiconductor devices has led to high frequency operation of power converters at higher voltage and current levels. In the range of 20kHz-1MHz, additional sources of loss in magnetic components interfacing to these WBG semiconductors are introduced due to high-frequency electromagnetic phenomena. Finite element analysis can capture these effects to a high degree of accuracy but require extensive computation time precluding their application in robust optimization and design schemes. There exist several analytical models for winding loss in literature that can evaluate multiple designs with minimal computation cost. In this work, popular models are reviewed, investigated, and expanded on in the context of various toroidal winding geometries. The goal of this work is to analyze well-known winding loss models and demonstrate their accuracies at high frequency (beyond 20kHz) as they pertain to toroidal inductors while maintaining the low computation cost required for integration into optimization and design schemes. © 2023 IEEE.

关键词： Analytical models

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Fresnel Diffraction of High-Dimensional Biphoton Wavefunctions: Computational Method and Characterization

Fresnel Diffraction of High-Dimensional Biphoton Wavefunctio...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Brown, Charlotte Dunham, Jake Zhao, Haoqi Hu, Chenfei Feng, Liang Gao, Zihe Department of Physics Auburn University AuburnAL36849 United States Department of Electrical and Computer Engineering Auburn University AuburnAL36849 United States Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States Applied Materials Inc. Santa Clara95054 United States Department of Materials Science and Engineering University of Pennsylvania PhiladelphiaPA19104 United States

Nonclassical biphoton wavefunctions reside in a higher-dimensional Hilbert space than classical or single-photon wavefunctions. Using the separability that holds for both spatial and multi-photon dimensions, we generalize FFT-based computational Fourier optics techniques to biphoton wavefunctions. © Optica Publishing Group 2024

关键词： Hilbert spaces

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Fresnel Diffraction of High-Dimensional Biphoton Wavefunctions: Computational Method and Characterization

Fresnel Diffraction of High-Dimensional Biphoton Wavefunctio...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

ISBN: (纸本)9781957171395

关键词： Hilbert spaces

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3D Robotic Control of Micro-Scale Optical Swarms at an Interface

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IEEE Robotics and Automation Letters 2025年第7期10卷 6712-6719页

作者： Carlisle, Nicholas Nock, Volker Williams, Martin A.K. Whitby, Catherine P. Chen, Jack L.Y. Avci, Ebubekir University of Canterbury Department of Electrical and Computer Engineering Christchurch New Zealand MacDiarmid Institute for Advanced Materials and Nanotechnology Wellington New Zealand Massey University School of Fundamental Sciences Palmerston North New Zealand Auckland University of Technology School of Science Auckland New Zealand

Optical force-induced assembly is a promising yet scarcely explored approach for developing functional tools and objects at the microscale, with a wide range of potential applications. Our previous work was the first to investigate the manipulation of these assemblies in the XY plane. Here, we expand on these techniques by systematically exploring optical trap manipulation with the addition of Z-axis control. Manipulation of the Z-axis is referred to as axial displacement and is a viable approach for actively manipulating the assembly morphology. Experiments are conducted for the first time to explore and detail the response of the assembly during active 3D trap manipulation, informing the development of an autonomous control algorithm over the 2D area of the assembly during motion. This control presents techniques to increase assembly stability or alter the area of the assembly for tasks such as passing through constrictions. This work aims to develop the control techniques required to create a unique micromanufacturing approach inspired by the Kilobot thousand-robot swarm. © 2016 IEEE.

关键词： Microrobots

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A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2023年 4卷 181-194页

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Communications Engineering the Institute of Biomedical Engineering the Department of Electronics and Electrical Engineering the Institute of Pioneer Semiconductor Innovation and the Institute of Artificial Intelligence Innovation Hsinchu300093 Taiwan

Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domain. One major advantage of ML-based compact modeling is its ability to capture complex relationships and patterns in large datasets. Therefore, in this paper a novel design scheme based on dynamically adaptive neural network (DANN) is proposed to develop fast and accurate compact model (CM). This framework constitutes a powerful yet computationally efficient methodology and exhibits emergent dynamic behaviors. This paper demonstrates that the compact model based on ML can be designed to replicate the performance of conventional compact model for nanodevices. For this work, gate-all-around (GAA) nanosheet (NS) device characteristics are comprehensively analyzed for process variability sources using the proposed model. The device geometry parameters such as channel length, nanosheet width and nanosheet thickness are fed as input features to the DANN model. The adaptive neural network learns dynamically by updating weights of the model in accordance with the input features and achieves accurate neural weight convergence. The proposed model predicted the electrical characteristics of NS devices with less than 1% error rate. The model is also implemented and validated for the simulations of digital circuit designs such as inverter, and logic gates. ©;2023 The Authors.

关键词： Circuit simulation

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