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242nd ECS Meeting

作者： Tarekegn, Eyob Negussie Seyedi, Mastooreh Luzinov, Igor Harrell, William R. Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States Department of Materials Science and Engineering Clemson University ClemsonSC29634 United States

ISBN: (纸本)9781607685395

The effects of adding a copolymer interfacial layer on the performance of Poly (3-hexylthiophene-2, 5-diyl) (P3HT) based organic thin-film transistors (OTFT) were investigated. Poly (oligo (ethylene glycol) methyl ether methacrylate-glycidyl methacrylate-lauryl methacrylate), which is referred to as POGL, was used as an interfacial layer between P3HT and the dielectric. OTFTs with and without a POGL interfacial layer were fabricated. The field-effect mobility and the threshold voltage were extracted for all the devices. The OTFTs with a POGL interfacial layer were observed to have a smaller threshold voltage than the OTFTs without an interfacial layer, which makes the POGL devices attractive for low power applications. The POGL OTFTs were also observed to have much more ideal drain current saturation characteristics with very small I-V curve slope. This is explained by the deep trap states on the POGL surface and the reduction of the contact resistance at the electrode/organic semiconductor interface. However, the POGL OTFTs were observed to have a smaller drain current and a slightly smaller mobility than the non-POGL OTFTs. This is explained by the surface roughness of the POGL, which affects the charge transport in the channel of the device. © 2022 ECS-The Electrochemical Society.

关键词： Threshold voltage

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ADMM-SRNet: Alternating Direction Method of Multipliers Based Sparse Representation Network for One-Class Classification

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IEEE Transactions on Image Processing 2023年 32卷 2843-2856页

作者： Chiou, Chien-Yu Lee, Kuang-Ting Huang, Chun-Rong Chung, Pau-Choo National Cheng Kung University Department of Electrical Engineering Tainan 701 Taiwan National Chung Hsing University Department of Computer Science and Engineering Taichung 402 Taiwan National Cheng Kung University Cross College Elite Program and Academy of Innovative Semiconductor and Sustainable Manufacturing Tainan 701 Taiwan

One-class classification aims to learn one-class models from only in-class training samples. Because of lacking out-of-class samples during training, most conventional deep learning based methods suffer from the feature collapse problem. In contrast, contrastive learning based methods can learn features from only in-class samples but are hard to be end-to-end trained with one-class models. To address the aforementioned problems, we propose alternating direction method of multipliers based sparse representation network (ADMM-SRNet). ADMM-SRNet contains the heterogeneous contrastive feature (HCF) network and the sparse dictionary (SD) network. The HCF network learns in-class heterogeneous contrastive features by using contrastive learning with heterogeneous augmentations. Then, the SD network models the distributions of the in-class training samples by using dictionaries computed based on ADMM. By coupling the HCF network, SD network and the proposed loss functions, our method can effectively learn discriminative features and one-class models of the in-class training samples in an end-to-end trainable manner. Experimental results show that the proposed method outperforms state-of-the-art methods on CIFAR-10, CIFAR-100 and ImageNet-30 datasets under one-class classification settings. Code is available at https://***/nchucvml/ADMM-SRNet. © 1992-2012 IEEE.

关键词： contrastive learning deep learning dictionary learning One-class classification sparse representation

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Active Beam Steering of Terahertz Waves with Phase Change-based Metasurfaces

Active Beam Steering of Terahertz Waves with Phase Change-ba...

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CLEO: science and Innovations, S and I 2022

作者： Yahiaoui, Riad Chase, Zizwe A. Huang, Zhixiang Wang, Xi Searles, Thomas A. Department of Electrical and Computer Engineering University of Illinois at Chicago ChicagoIL60607 United States Department of Materials Science and Engineering University of Delaware NewarkDE19716 United States

We demonstrate active control of THz beams with a phase change material, VO2, patterned into a metasurface microcavity. We experimentally confirm simulations showing up to 35 degree deflection at 300 GHz. © Optic... 详细信息

ISBN: (纸本)9781557528209

关键词： Terahertz waves

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Downstream Task Performance of Pre-Trained Model For Outdoor Audio Event Classification 9

Downstream Task Performance of Pre-Trained Model For Outdoor...

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9th International Conference on Signal Processing and Intelligent Systems, ICSPIS 2023

作者： Rochadiani, Theresia Herlina Heryadi, Yaya Sonata, Ilvico Lukas Suparta, Wawan Bina Nusantara University Binus Graduate Program- Computer Science Jakarta Indonesia Universitas Katolik Indonesia Atma Jaya Cognitive Engineering Research Group Jakarta Indonesia Institut Teknologi Nasional Yogyakarta Department of Electrical Engineering Yogyakarta Indonesia

ISBN: (纸本)9798350369922

Our surroundings' auditory landscapes are a wealth of knowledge, providing insights into a range of outdoor pursuits. The automatic classification of these actions using audio event detection and classification (AEDC) systems has a great deal of potential applications in environmental monitoring, security, surveillance, and driverless cars. Even though AEDC has advanced significantly in indoor settings, difficulties still exist outside because of the variable and changing acoustic conditions brought on by elements like the weather, different sound sources, and ambient noise from traffic and industry. This study suggests an outdoor audio event categorization model based on convolutional neural networks (CNNs). The suggested model shows passable accuracy by utilizing adaptation to the downstream task using the ESC-50 dataset and transfer learning from a pre-trained model. The effectiveness of multi-class audio classification models in downstream tasks is analyzed in this paper, with an emphasis on the effect of an increasing number of output classes on accuracy. Three models - three, four, and five classes - with different output class configurations are used in the study, and their training and validation accuracies are assessed. Although the accuracy scores above 80% are commendable, the data show a discernible reduction in performance as the number of classes rises. Notably, the three-class model attains a validation accuracy exceeding 90%, whereas the four-class and five-class models exhibit reduced accuracies, falling below 90% and 85%, respectively. © 2023 IEEE.

关键词： Convolutional neural networks

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Microfabricated polymer-metal biosensors for multifarious data collection from electrogenic cellular models

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Microsystems & Nanoengineering 2023年第2期9卷 167-180页

作者： Charles M.Didier Julia F.Orrico Omar S.Cepeda Trres Jorge Manrique Castro Aliyah Baksh Swaminathan Rajaraman NanoScience Technology Center University of Central Florida4353 Scorpius StreetResearch ISuite 231FL 32816 OrlandoUSA Burnett School of Biomedical Sciences University of Central Florida6900 Lake Nona BlvdFL 32827 OrlandoUSA Department of Biomedical Engineering Polytechnic University of Puerto Rico37700918Ponce de LeonSan JuanPuerto Rico Department of Electrical and Computer Engineering University of Central Florida4238 Scorpius StreetFL 32816 OrlandoUSA Department of Materials Science and Engineering University of Central Florida12760 Pegasus DriveEngineering ISuite 207FL 32816 OrlandoUSA

Benchtop tissue cultures have become increasingly complex in recent years,as more on-a-chip biological technologies,such as microphysiological systems(MPS),are developed to incorporate cellular constructs that more accurately represent their respective biological *** MPs have begun facilitating major breakthroughs in biological research and are poised to shape the field in the coming *** biological systems require integrated sensing modalities to procure complex,multiplexed datasets with unprecedented combinatorial biological *** this work,we expanded upon our polymer-metal biosensor approach by demonstrating a facile technology for compound biosensing that was characterized through custom modeling *** reported herein,we developed a compound chip with 3D microelectrodes,3D microfluidics,interdigitated electrodes(IDEs)and a *** chip was subsequently tested using the electrical/electrochemical characterization of 3D microelectrodes with 1 kHz impedance and phase recordings and IDE-based high-frequency(-1 MHz frequencies)impedimetric analysis of differential localized temperature recordings,both of which were modeled through equivalent electrical circuits for process parameter ***,a simplified antibody-conjugation strategy Was employed for a similar IDE-based analysis of the implications of a key analyte(L-glutamine)binding to the equivalent electrical ***,acute microfluidic perfusion modeling was performed to demonstrate the ease of microfluidics integration into such a polymer-metal biosensor platform for potential complimentary localized chemical ***,our work demonstrates the design,development,and characterization of an accessibly designed polymer-metal compound biosensor for electrogenic cellular constructs to facilitate comprehensive MPS data collection.

关键词： polymer recording breakthrough

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Micro-Mechanical Investigation of Process-Induced Fiber Waviness in Thermoplastic Composites 38

Micro-Mechanical Investigation of Process-Induced Fiber Wavi...

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38th Technical Conference of the American Society for Composites, ASC 2023

作者： Chen, Branndon R. Parambil, Nithin K. Deitzel, Joseph M. Gillespie, John W. Center for Composite Materials University of Delaware NewarkDE19716 United States Department of Materials Science and Engineering University of Delaware NewarkDE19716 United States Department of Mechanical Engineering University of Delaware NewarkDE19716 United States Department of Civil and Environmental Engineering University of Delaware NewarkDE19716 United States Department of Computer and Electrical Engineering University of Delaware NewarkDE19716 United States

ISBN: (纸本)9781605956916

Thermoplastic carbon fiber reinforced polymer (CFRPs) composite materials are attractive for their higher throughput, chemical resistance, and higher toughness compared to their thermoset counterparts. One challenge of processing these materials is controlling the process induced wrinkle/waviness formation arising from the high temperature change from process to room temperature. The process induced waviness is a significant microstructural defect that negatively affects the static and fatigue properties of the CFRP. This study offers a micromechanical approach to isolate, visualize, and monitor the development of fiber waviness as a function of process temperature, temperature dependent viscosity, and polymer crystallization. The approach utilizes a single AS4 carbon fibers (7 µm nominal diameter) in a thin film. Three different matrix polymers are studied: amorphous polyetherimide (PEI) and semicrystalline low-melt poly-aryl-ether-ketone (LM-PAEK) and polypropylene (PP). A key observation is that fiber waviness initiates during cooling from the melt processing temperature (where all polymers are amorphous) and ceases at a temperature associated with a critical viscosity level (40,000 P) for all three matrix resins (PEI, PP, LM-PAEK) having very different ranges of temperature dependent viscosity. The magnitude of the fiber waviness was measured in a hot-stage microscope by observing fiber waviness upon cooling the micro-composites from various starting temperatures. In the case of LM-PAEK and PP, the critical viscosity (40,000 P) occurs during the onset of crystallization (cooling rate dependent). The amplitude of the fiber waviness does not increase further due to crystallization shrinkage. Amorphous PEI polymer at the recommended process temperature of 335 °C exhibits a viscosity approximately equal to the critical value of 40,000 P and the fiber remains straight through the entire cooling process to room temperature confirming the important role of viscosity on

关键词： Polypropylenes

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Tuning the number of chiral edge channels in a fixed quantum anomalous Hall system

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Physical Review B 2024年第20期109卷 L201402-L201402页

作者： Peng Deng Yulei Han Peng Zhang Su Kong Chong Zhenhua Qiao Kang L. Wang Beijing Academy of Quantum Information Sciences Beijing 100193 China Department of Electrical and Computer Engineering University of California Los Angeles California 90095 USA Department of Physics Fuzhou University Fuzhou Fujian 350108 China International Center for Quantum Design of Functional Materials CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics and Department of Physics University of Science and Technology of China Anhui 230026 China Hefei National Laboratory University of Science and Technology of China Hefei 230088 China

Quantum anomalous Hall (QAH) insulators exhibit chiral edge channels characterized by vanishing longitudinal conductance and quantized Hall conductance of Ce2/h, wherein the Chern number C is an integer equal to the number of the parallel chiral edge channels. These chiral edge channels conduct dissipationless transport in QAH insulators, making them pivotal for applications in low-consumption electronics and topological quantum computing. While the QAH effect with multiple chiral edge channels (i.e., C > 1) has been demonstrated in multilayers consisting of magnetic topological insulators and normal insulators, the channel number remains fixed for a given sample. Here, we unveil the tunability of the number of chiral edge channels within a single QAH insulator device. By tuning the magnetization of individual layers within the multilayer system, Chern insulating states with different Chern numbers are unveiled. The tunable Chern number was corroborated by our theoretical calculations. Furthermore, we conducted layer-dependent calculations to elucidate the contribution of the Chern number from different layers in the multilayer. Our findings demonstrate an extra degree of freedom in manipulating the chiral edge channels in QAH insulators. This tunability offers an extra dimension for the implementation of the QAH-based multichannel dissipationless transport.

关键词： Quantum anomalous Hall effect Quantum transport Topological insulators Molecular beam epitaxy

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Preferences for Using Canva Apps as a Presentation Media Creation Tool Among Gen Z Students: SEM Analysis with TAM and UTAUT2 Approaches 25

Preferences for Using Canva Apps as a Presentation Media Cre...

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25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024

作者： Maulana, Fairuz Iqbal Lestari, Dian Purnomo, Agung Arifuddin, Rahman Widartha, Vandha Pradwiyasma Adi, Puput Dani Prasetyo Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia Faculty of Medicine Airlangga Surabaya60132 Indonesia Bina Nusantara University Binus Business School Undergraduate Program Entrepreneurship Department Jakarta11480 Indonesia University of Merdeka Malang Department of Electrical Engineering Malang Indonesia Telkom University Information System of Industrial Engineering Faculty Bandung Indonesia Research Center for Telecommunication Bandung Indonesia

ISBN: (纸本)9798350378573

The purpose of this study is to find out what makes Generation Z students accept and use Canva as a tool for making presentation materials. The conceptual framework of this study is the combination of "Technology Acceptance Model (TAM)"and the "Unified Theory of Acceptance and Use of Technology (UTAUT2)". "Structural Equation Modeling (SEM)"used for data analyzation. This research aims to understand the dynamics of Canva acceptance among students. The findings show that enjoyment, fun, and pleasure in using Canva, combined with its creative tools and design-centric approach, significantly resonate with Gen Z's preference for aesthetics. This research highlights that Canva is favored by students for creating engaging presentations. © 2024 IEEE.

关键词： Students

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Benchmarking deep learning-based models on nanophotonic inverse design problems

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Opto-Electronic science 2022年第1期1卷 37-51页

作者： Taigao Ma Mustafa Tobah Haozhu Wang L.Jay Guo Department of Physics The University of MichiganAnn ArborMichigan48109USA Department of Materials Science and Engineering The University of MichiganAnn ArborMichigan48109USA Department of Electrical Engineering and Computer Science The University of MichiganAnn ArborMichigan48109USA

Photonic inverse design concerns the problem of finding photonic structures with target optical ***,traditional methods based on optimization algorithms are time-consuming and computationally ***,deep learning-based approaches have been developed to tackle the problem of inverse design *** most of these neural network models have demonstrated high accuracy in different inverse design problems,no previous study has examined the potential effects under given constraints in ***,the relative strength of different deep learning-based inverse design approaches has not been fully ***,we benchmark three commonly used deep learning models in inverse design:Tandem networks,Variational Auto-Encoders,and Generative Adversarial *** provide detailed comparisons in terms of their accuracy,diversity,and *** find that tandem networks and Variational Auto-Encoders give the best accuracy,while Generative Adversarial Networks lead to the most diverse *** findings could serve as a guideline for researchers to select the model that can best suit their design criteria and fabrication *** addition,our code and data are publicly available,which could be used for future inverse design model development and benchmarking.

关键词： inverse design photonics machine learning neural networks generative models

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Understanding and Controlling the Formation of Nonradiative Defects in Blue Organic Triplet Emitters

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Physical Review X 2024年第4期14卷 041044-041044页

作者： Haonan Zhao Boning Qu Stephen R. Forrest Department of Physics University of Michigan Ann Arbor Michigan 48109 USA Department of Materials Science and Engineering University of Michigan Ann Arbor Michigan 48109 USA Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor Michigan 48109 USA

Phosphorescent organic light-emitting devices (PHOLEDs) suffer from destructive molecular processes due to triplet-polaron and triplet-triplet annihilation. These processes are energetically driven and hence are particularly active in decreasing the lifetime of blue PHOLEDs. It has recently been shown that increasing triplet radiative rates via the Purcell effect effectively extends the device operational lifetime by reducing the triplet radiative lifetime, thus decreasing their density and the probability of triplet-annihilation reactions. We provide an analytical framework using Marcus theory to explain the observed, approximately exponential relationship between exciton energy and device lifetime. From transient drift-diffusion dynamics, we show that the Purcell effect reduces the exciton density in the steady state and increases the photoluminescent yield, thereby reducing defect generation rates and extending the device lifetime. We control the radiative rate of excitons in microcavities, thereby connecting the exciton energy and decay rates with the observed device lifetime. The device lifetime is shown to follow a power-law dependence on the Purcell factor (PFm) with m=1.5 to 2.5, dependent on the TTA-to-TPA ratio and photoluminescence quantum yield. From our analysis, a fivefold increase in PF has the potential to extend the blue PHOLED lifetime by up to 2 orders of magnitude, making the blue PHOLED lifetime comparable to that of state-of-the-art green PHOLEDs.

关键词： Electroluminescence Optoelectronics Polaritons

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