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arXiv 2023年

作者： Safavigerdini, Kaveh Nouduri, Koundinya Surya, Ramakrishna Reinhard, Andrew Quinlan, Zach Bunyak, Filiz Maschmann, Matthew R. Palaniappan, Kannappan Department of Electrical Engineering and Computer Science United States Department of Mechanical & Aerospace Engineering United States MU Materials Science and Engineering Institute University of Missouri-Columbia ColumbiaMO United States

We present a pipeline for predicting mechanical properties of vertically-oriented carbon nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI)based materials discovery. Our approach incorporates an innovative data augmentation technique that involves the use of multi-layer synthetic (MLS) or quasi-2.5D images which are generated by blending 2D synthetic images. The MLS images more closely resemble 3D synthetic and real scanning electron microscopy (SEM) images of CNTs but without the computational cost of performing expensive 3D simulations or experiments. Mechanical properties such as stiffness and buckling load for the MLS images are estimated using a physics-based model. The proposed deep learning architecture, CNTNeXt, builds upon our previous CNTNet neural network, using a ResNeXt feature representation followed by random forest regression estimator. Our machine learning approach for predicting CNT physical properties by utilizing a blended set of synthetic images is expected to outperform single synthetic image-based learning when it comes to predicting mechanical properties of real scanning electron microscopy images. This has the potential to accelerate understanding and control of CNT forest self-assembly for diverse applications. Copyright © 2023, The Authors. All rights reserved.

关键词： Carbon nanotubes

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Ge2Sb2Se4Te Phase Change Material Monolithic Platform for Integrated Photonics

Ge2Sb2Se4Te Phase Change Material Monolithic Platform for In...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Acharjee, Niloy Sun, Hongyi Ghosh, Siddhartha Ríos Ocampo, Carlos A. Institute for Research in Electronics & Applied Physics University of Maryland College ParkMD20742 United States Department of Electrical & Computer Engineering University of Maryland College ParkMD20742 United States Department of Materials Science & Engineering University of Maryland College ParkMD20742 United States Space Systems - Northrop Grumman 1 Space Park Blvd Redondo BeachCA90278 United States

ISBN: (纸本)9781957171395

We demonstrate a monolithic Ge2Sb2Se4Te platform for tunable photonic integrated circuits. We fabricated and measured various on-chip components, including waveguides with preliminary 55.7±3.65 dB/cm propagation loss. Refractive index tuning is demonstrated via post-fabrication localized crystallization. © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： System-on-chip

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High-Resolution Hydrogen Molecule Detection Utilizing a Nanocandle-Based Optical Sensor 16

High-Resolution Hydrogen Molecule Detection Utilizing a Nano...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Park, Nu-Ri Kim, Min-Joong Lee, Jongsu Seo, Minah Ryu, Yong-Sang Kim, Myung-Ki KU-KIST Graduate School of Converging Science and Technology Korea University Seoul02841 Korea Republic of Korea Institute of Science and Technology Sensor System Research Center Seoul02792 Korea Republic of Northwestern University Department of Electrical Engineering and Computer Science EvanstonIL60208 United States School of Biomedical Engineering Korea University Seoul02481 Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul02481 Korea Republic of

Our research introduces a novel method for safe hydrogen detection. We've developed an advanced nano-candle sensor, combining Pd with nano-candles, enabling accurate detection of low-concentration hydrogen ( ©... 详细信息

ISBN: (纸本)9798350372076

关键词： Nanoclay

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Ge2Sb2Se4Te Phase Change Material Monolithic Platform for Integrated Photonics

Ge2Sb2Se4Te Phase Change Material Monolithic Platform for In...

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

关键词： Photonic integrated circuits

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Measurement of Water Diffusion Coefficient in Cross-Linked Gelatins Using the Terahertz Time-Domain Spectroscopy Technique

Measurement of Water Diffusion Coefficient in Cross-Linked G...

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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Walden, D. Chakraborty, D. Cheng, J. Straksys, A. Stirke, A. Melo, W.C.M.A. Jukna, A. Komissarov, I. Sobolewski, Roman Department of Physics and Astronomy University of Rochester RochesterNY14627 United States Laboratory for Laser Energetics University of Rochester RochesterNY14623-1299 United States Materials Science Graduate Program University of Rochester RochesterNY14627 United States State Research Institute Center for Physical Sciences & Technology Vilnius Lithuania Department of Physics Vilnius Gediminas Technical University Vilnius Lithuania Department of Electrical and Computer Engineering University of Rochester RochesterNY14627 United States

A novel method has been developed to evaluate the water diffusion dynamics in gelatin-based gels, based on transient terahertz time-domain spectroscopy measurements. Such gels are widely used models for human skin. &#... 详细信息

关键词： Terahertz spectroscopy

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Characteristic Mode Analysis of Nanostructures using Hydrodynamic Volume Integral Equation

Characteristic Mode Analysis of Nanostructures using Hydrody...

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Antennas and Propagation & USNC/URSI National Radio science Meeting

作者： Meruyert Khamitova Ran Zhao Doolos Aibek uulu Hakan Bagci Electrical and Computer Engineering (ECE) Program Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Kingdom of Saudi Arabia School of Electronic Science and Engineering University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan China Department of Mathematics and Natural Sciences University of Central Asia (UCA) Naryn Kyrgyzstan

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

The characteristic mode analysis (CMA) is formulated and implemented for the hydrodynamic volume integral equation (HDVIE) that is used to mathematically model electromagnetic field interactions and conduction current dynamics on nanoantennas and nanoscatterers. The proposed method produces excitation-independent characteristic hydrodynamic currents and the corresponding modal significance curves, providing useful information that can be used to optimize the performance of a nanoantenna. Numerical results demonstrate the reliability and the applicability of the proposed approach.

关键词： Solid modeling Nanoantennas Integral equations Hydrodynamics Mathematical models Characteristic mode analysis Numerical models

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Near-Field Thermophotovoltaic Energy Conversion: Progress and Opportunities

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Physical Review Applied 2023年第3期19卷 037002-037002页

作者： Rohith Mittapally Ayan Majumder Pramod Reddy Edgar Meyhofer Department of Mechanical Engineering University of Michigan Ann Arbor Michigan 48109 USA Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor Michigan 48109 USA Department of Materials Science and Engineering University of Michigan Ann Arbor Michigan 48109 USA Department of Biomedical Engineering University of Michigan Ann Arbor Michigan 48109 USA

Direct conversion of heat to electricity via solid-state approaches is a rapidly advancing area of research owing to its prospective use in recovering waste heat and in energy storage and utilization. In particular, thermophotovoltaic (TPV) approaches that take advantage of near-field (NF) evanescent modes are receiving increased attention due to their potential for increased power output. This review examines the latest progress in theoretical and experimental explorations of near-field thermophotovoltaic (NF TPV) systems. We begin by introducing thermal radiation, its use in TPV systems, and how these systems have developed over time. Next, we describe the fundamentals of NF radiative heat transfer, as well as the operating principles and models used to evaluate NF TPV systems. We discuss theoretical studies, based on fluctuational electrodynamics, that have predicted large enhancements in radiative energy transfer and consequently large electrical power outputs in NF TPV systems. Subsequently, we summarize recent advances in the experimental exploration of NF TPV systems and describe how researchers have recently developed unique experimental platforms to explore the principles of NF TPVs and have achieved significant enhancements in power output at reasonable conversion efficiencies. Additionally, we discuss related thermoradiative and thermophotonic energy conversion systems that provide interesting new avenues for photonic energy conversion. These systems, while theoretically promising, still await experimental validation in realistic material systems. Finally, we present remarks on the future potential of NF TPV systems and opportunities for improving NF TPV performance, and discuss the challenges that must be overcome to achieve large-scale NF TPV devices.

关键词： Energy harvesting devices Heat transfer Near-field optics Optoelectronics Photonics Thermal photovoltaics III-V semiconductors Nanostructures

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Analytical Modeling of Flowrate and Its Maxima in Electrochemical Bioelectronics with Drug Delivery Capabilities

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Research 2022年第3期2022卷 61-73页

作者： Raudel Avila Yixin Wu Rinaldo Garziera John A.Rogers Yonggang Huang Department of Mechanical Engineering Northwestern UniversityEvanstonIL 60208USA Department of Materials Science and Engineering Northwestern UniversityEvanstonIL 60208USA Querrey Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIL 60208USA Dipartimento di Ingegneria ed Architettura Universitàdi ParmaItaly Department of Biomedical Engineering Northwestern UniversityEvanstonIL 60208USA Department of Electrical and Computer Engineering Northwestern UniversityEvanstonIL 60208USA Department of Chemistry Northwestern UniversityEvanstonIL 60208USA Department of Neurological Surgery Northwestern UniversityFeinberg School of MedicineChicagoIL 60611USA Department of Civil and Environmental Engineering Northwestern UniversityEvanstonIL 60208USA

Flowrate control in flexible bioelectronics with targeted drug delivery capabilities is essential to ensure timely and safe *** neuroscience and pharmacogenetics studies in small animals,these flexible bioelectronic systems can be tailored to deliver small drug volumes on a controlled fashion without damaging surrounding tissues from stresses induced by excessively high *** drug delivery process is realized by an electrochemical reaction that pressurizes the internal bioelectronic chambers to deform a flexible polymer membrane that pumps the drug through a network of microchannels implanted in the small *** flowrate temporal profile and global maximum are governed and can be modeled by the ideal gas ***,we obtain an analytical solution that groups the relevant mechanical,fluidic,environmental,and electrochemical terms involved in the drug delivery process into a set of three nondimensional *** unique combinations of these three nondimensional parameters(related to the initial pressure,initial gas volume,and microfluidic resistance)can be used to model the flowrate and scale up the flexible bioelectronic design for experiments in medium and large animal *** analytical solution is divided into(1)a fast variable that controls the maximum flowrate and(2)a slow variable that models the temporal ***,the two variables detail the complete drug delivery process and control using the three nondimensional *** of the analytical model with alternative numerical models shows excellent agreement and validates the analytic modeling *** findings serve as a theoretical framework to design and optimize future flexible bioelectronic systems used in biomedical research,or related medical fields,and analytically control the flowrate and its global maximum for successful drug delivery.

关键词： governed Electrochemical Flow

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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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Annual International Symposium on Reliability Physics

作者： Cheng-Shan Chen Chun-Yen Yang Shao-Jui Yang Deng-Yi Wang Yaw-Wen Kuo Wei-Han Hsiao Hsin-Hung Chou Chia-Feng Lin Yung-Hui Li YewChung Sermon Wu Hsiang Chen Jung Han Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Electrical Engineering National Chi Nan University Nantou Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou Taiwan Department of Electrical Engineering Chang Gung University Taoyuan Taiwan Department of Computer Science & Information Engineering National Chi Nan University Nantou Taiwan Department of Materials Science and Engineering National Chung Hsing University Taichung Taiwan AI Research Center Hon Hai Research Institute Taipei Taiwan Department of Electrical Engineering Yale University New Haven USA

ISBN: (数字)9798350369762

ISBN: (纸本)9798350369779

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.

关键词： Degradation electrical engineering computer science Machine vision Light emitting diodes Reliability engineering Circuit synthesis

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Minimization of fanout in switching networks 15

Minimization of fanout in switching networks

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15th Annual Symposium on Switching and Automata Theory, SWAT 1974

作者： Hayes, John P. Department of Electrical Engineering and Computer Science Program University of Southern California Los AngelesCA90007 United States

The problem of finding the minimum amount of fanout needed to realize a switching function f is investigated. Fanout-free functions are defined, and necessary and sufficient conditions for a function to be fanout-free are derived. A measure '(f) called the input fanout index, is introduced which represents the minimum number of input variables that fan out in any realization of f. I is shown that t(f), can be determined from the prime implicants and implicates of f. Another measure of fanout u(f), which is the minimum numbe r of signal lines that must fan out in any network realizing f is defined, and some of the properties of u(f) are examined. © 2021 IEEE. All rights reserved.

关键词： Switching networks

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