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2022 IEEE International Conference on Integrated Circuits, Technologies and Applications, ICTA 2022

作者： Wang, Zhehan Kang, Dingxuan Chen, Jiayi Xu, Xiao Jing, Xu Tao, Li School of Materials Science and Engineering Southeast University China Center of 2D Materials Southeast University China The University of Texas at Austin Department of Electrical and Computer Engineering United States

ISBN: (数字)9781665492690

ISBN: (纸本)9781665492690

Two-dimensional transition metal dichalcogenide (TMDs) holds great promise for future wearable technologies. The large-scale synthesis of TMDs and the investigation of their molecular sensing properties are current research hotspots. Herein, we construct flexible PtTe2 molecular sensors directly on polyimide, followed by the exploration on ammonia sensing properties and stability under strain. The sensor shows an excellent ammonia response of 0.4% ppm-1surpassing most reported semimetal-based sensors. In-situ sensing testing reveals 500% enhancement in response after controlled strain engineering, which suggests the potential to expand limit of detection and linearity range. © 2022 IEEE.

关键词： Ammonia

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Scattering exceptional point in the visible

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Light(science & Applications) 2023年第10期12卷 2228-2235页

作者： Tao He Zhanyi Zhang Jingyuan Zhu Yuzhi Shi Zhipeng Li Heng Wei Zeyong Wei Yong Li Zhanshan Wang Cheng-Wei Qiu Xinbin Cheng MOE Key Laboratory of Advanced Micro-Structured Materials Shanghai 200092China Institute of Precision Optical Engineering School of Physics Science and EngineeringTongji UniversityShanghai 200092China Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 200092China Shanghai Frontiers Science Center of Digital Optics Shanghai 200092China Shanghai Professional Technical Service Platform for Full-Spectrum and High-Performance Optical Thin Film Devices and Applications Shanghai 200092China Department of Electronic Science and Technology Tongji UniversityShanghai 201804China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Institute of Acoustics School of Physics Science and EngineeringTongji UniversityShanghai 200092China

Exceptional point (EP) is a special degeneracy of non-Hermitian systems. One-dimensional transmission systems operating at EPs are widely studied and applied to chiral conversion and sensing. Lately, two-dimensional systems at EPs have been exploited for their exotic scattering features, yet so far been limited to only the non-visible waveband. Here, we report a universal paradigm for achieving a high-efficiency EP in the visible by leveraging interlayer loss to accurately control the interplay between the lossy structure and scattering lightwaves. A bilayer framework is demonstrated to reflect back the incident light from the left side ( | r_(−1) | >0.999) and absorb the incident light from the right side ( | r_(+1) | < 10^(–4)). As a proof of concept, a bilayer metasurface is demonstrated to reflect and absorb the incident light with experimental efficiencies of 88% and 85%, respectively, at 532 nm. Our results open the way for a new class of nanoscale devices and power up new opportunities for EP physics.

关键词： visible exceptional incident

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Molecular-field-coefficient modeling of temperature-dependent ferrimagnetism in a complex oxide

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Physical Review Applied 2024年第1期21卷 014060-014060页

作者： Miela J. Gross Tingyu Su Jackson J. Bauer Caroline A. Ross Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Materials Science and Engineering Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

The temperature-dependent magnetic moment of a magnetically ordered material is fundamental to all aspects of its technological applications. In ferrimagnetic materials with multiple sublattices containing different magnetic ions, the magnetization can vary nonmonotonically with temperature. Computational modeling of these materials provides insight into their sublattice occupancy and prediction of their behavior as a function of composition. Here we develop a python computer code called dionne that models the magnetism of rare earth (RE) iron garnets (RE3Fe5O12, REIGs) using molecular field coefficient theory. The program calculates the exchange interactions and the magnetic moment of each sublattice to determine the net magnetization and angular momentum as a function of temperature. dionne accounts for site occupancy on each sublattice, including the effects of nonmagnetic and magnetic substitutions, vacancies, Fe2+, and deviations from the ideal RE:Fe stoichiometry by considering their effects on the magnetization and exchange coupling. Unlike previous iterative methods, dionne recursively solves for the moment at each temperature, yielding an excellent match to magnetization versus temperature data for a range of bulk garnets. This work predicts magnetic properties of REIGs with a variety of compositions and point defect levels and enables design of ferrimagnets with useful properties.

关键词： Magnetic interactions Temperature Complex oxides Ferrimagnets Magnetic insulators Magnetic thin films Magnetic moment Micromagnetic modeling

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Micromagnetic Simulations of Concentration Detection Capability of Large-Area and Low-Aspect-Ratio GMR Sensors in Biomedical Diagnostics

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IEEE Transactions on Magnetics 2025年

作者： Mendonsa, Riyan Liang, Shuang Tonini, Denis Wang, Jian-Ping University of Minnesota Department of Electrical and Computer Engineering MinneapolisMN55455 United States University of Minnesota Department of Chemical Engineering and Materials Science MinneapolisMN55455 United States

Since the discovery of Giant Magnetoresistance(GMR), it has found many applications in sensors. One of these key areas is for biomedical sensing. GMR biosensors with large-area and low-aspect-ratio were demonstrated experimentally with ultra high sensitivity, followed by a relatively simplified theoretical explanation. This study presents a systematic micromagnetic simulation analysis of large-area and low-aspect-ratio GMR sensors, with a particular focus on two key regimes: the linear portion before saturation by the magnetic nanoparticle(MNP) interaction with the sensor and the flattening out due to sensor saturation. This study presents a simulation-based analysis of large-area and low-aspect-ratio GMR sensors using micromagnetic simulations for biomedical diagnostic applications. We investigate various MNP types and sizes. Through systematic simulations, we compare sensitivity to concentration and highlight the influence of MNP characteristics and concentration on the large-area GMR sensor's performance. This study not only furthers the understanding of large-area and low-aspect-ratio GMR sensor behavior, but also paves the way for future targeted experimental research and development in this promising field. © 1965-2012 IEEE.

关键词： Aspect ratio

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Classifying Tweet Sentiment Analysis on Airlines using Random Forest Classifier, Naïve Bayes Classifier and K-Nearest Neighbors Classifier Algorithm

Classifying Tweet Sentiment Analysis on Airlines using Rando...

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2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023

作者： Alexander, Ivan Heryadi, Yaya Lukas Suparta, Wayan Sonata, Ilvico Bina Nusantara University Binus Graduate Program Computer Science Computer Science Departement Jakarta11480 Indonesia Universitas Katolik Indonesia Atma Jaya Cognitive Engineering Research Group Faculty of Engineering Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350327472

Opinion has always affected businesses and individuals especially from the Public. People react through social media and spread it incompletely. The situation was then accepted as public opinion. There are three categories of opinion i.e., positive, negative, and neutral. To investigate public opinion on a particular issue of interest, sentiment analysis might be employed. By offering a solution to the text classification challenge, this experiment focuses on the perception of airline tweets among the American public. We offer a method to classify tweets as positive, negative, or neutral using three machine learning classifiers: Random Forest Classifier, Naive Bayes Classifier, and K-Nearest Neighbors Classifier. We examined the performance of three machine learning classifiers in terms of accuracy, average precision, average recall, and average f-1 score. The results demonstrate that the Random Forest Classifier, which produces 82% accuracy, 80% average precision, 82% average recall, and 80% average f1-score, performs the best among the machine learning classifiers. © 2023 IEEE.

关键词： Tweets

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Scalable and flexible porous hybrid film as a thermal insulating subambient radiative cooler for energy-saving buildings

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National science Open 2023年第4期2卷 153-167页

作者： Tong Wang Shuhua Tu Yinggang Chen Qian Zhu Yinan Zhang Zhiyi Ding Xue Mei Min Chen Min Gu Limin Wu Department of Materials Science and State Key Laboratory of Molecular Engineering of Polymers Fudan UniversityShanghai 200433China Institute of Photonic Chips University of Shanghai for Science and TechnologyShanghai 200093China Centre for Artificial-Intelligence Nanophotonics School of Optical-Electrical and Computer EngineeringUniversity of Shanghai for Science and TechnologyShanghai 200093China School of Materials and Chemistry University of Shanghai for Science and TechnologyShanghai 200093China

Passive daytime radiative cooling(PDRC)is one of the promising alternatives to electrical cooling and has a significant impact on worldwide energy consumption and carbon *** real-world applications,however,the parasitic heat input and heat leakage pose crucial challenges to commercial and residential buildings *** integrating of radiative cooling and thermal insulation properties represents an attractive direction in renewable energy-efficient building envelope ***,we present a hierarchically porous hybrid film as a scalable and flexible thermal insulating subambient radiative cooler via a simple and inexpensive inverse high internal phase emulsion *** as-prepared porous hybrid film exhibits an intrinsic combination of high solar reflectance(0.95),strong longwave infrared thermal emittance(0.97),and low thermal conductivity(31 mW/(m K)),yielding a subambient cooling temperature of~8.4℃ during the night and~6.5℃ during the hot midday with an average cooling power of~94 W/m^(2) under a solar intensity of~900 W/m^(2).Promisingly,combining the superhydrophobicity,durability,superelasticity,robust mechanical strength,and industrial applicability,the film is favorable for large-scale,sustainable and energy-saving applications in a wide variety of climates and complicated surfaces,enabling a substantial reduction of energy costs,greenhouse gas emission and associated ozone-depleting from traditional cooling systems.

关键词： radiative cooling thermal insulation energy-saving buildings scalability flexibility

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Purcell enhancement of X-ray scintillation

Purcell enhancement of X-ray scintillation

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CLEO: science and Innovations, S and I 2022

作者： Lahav, Neta Kurman, Yaniv Schuetz, Roman Lifshits, Alon Zaken, Segev Be'er, Orr Bekenstein, Yehonadav Kaminer, Ido Department of Electrical and Computer Engineering Technion - Israel Institute of Technology Haifa32000 Israel Department of Materials Science and Engineering Technion - Israel Institute of Technology Haifa32000 Israel

ISBN: (纸本)9781557528209

We demonstrate nanophotonic enhancement of the intrinsic spontaneous emission of X-ray-driven scintillation. By designing a 16-layers nanophotonic scintillator structure, we present the first observation of Purcell-enhanced scintillation, expressed by enhanced angular emission of visible photons. © Optica Publishing Group 2022, © 2022 The Authors.

关键词： Scintillation

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Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review 2

Trends, Opportunities, and Challenges in Detecting Depressiv...

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2nd International Conference on computer System, Information Technology, and electrical engineering, COSITE 2023

作者： Elwirehardja, Gregorius Natanael Isnan, Mahmud Perbangsa, Anzaludin Samsinga Muchtar, Kahlil Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Mahmud Isnan Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Information System Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh23111 Indonesia Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9798350343069

Depressive Disorders (DD) is one of the most prevalent mental disorders in the world that may lead to suicide cases. To prevent the latter, ubiquitous early detection systems may be effective. Recent studies have since researched the development of such systems by exploiting several forms of data, including video, audio, Ecological Momentary Assessments (EMA), and passive sensing data using sensors embedded in mobile devices. To summarize the trends, opportunities, and existing challenges in this field, this study reviewed 15 papers to answer four research questions. EMA was the most popular data to be used in this task, but other approaches, such as using video, audio, and typing behaviors, may be considered due to the subjectivity of EMA. These data were typically recorded using smartphones and analyzed using Machine Learning (ML). However, most of the developed systems had yet to be implemented. Overall, it was concluded that further studies may need to explore usages of more objective data in multimodal approaches as well as consider using Mobile Cloud Computing (MCC) to deploy these systems to provide more effective and efficient diagnoses. Future studies must also take into account the existing challenges of the data and infrastructures, such as the weaknesses of several data types, limitations of mobile devices, as well as the challenges of diagnosis approaches. © 2023 IEEE.

关键词： Machine learning

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Thermally Stable Near-Infrared Emitter Using Refractory Ceramic materials

Thermally Stable Near-Infrared Emitter Using Refractory Cera...

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Frontiers in Optics, FiO 2022

作者： Gong, Tao Duncan, Margaret A. Karahadian, Micah Leite, Marina S. Munday, Jeremy N. Department of Materials Science and Engineering University of California DavisCA95616 United States Department of Electrical and Computer Engineering University of California DavisCA95616 United States

ISBN: (纸本)9781557528209

关键词：

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TopologyPreserving Nonlinear Structured Light Generation from AllDielectric Metasurfaces

TopologyPreserving Nonlinear Structured Light Generation fro...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Gao, Jiannan Tsvetkov, Dmitrii Pires, Danilo Gomes M. Xu, Yun Kravchenko, Ivan Feng, Liang Litchinitser, Natalia M. Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States France Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Department of Materials Science and Engineering University of Pennsylvania PhiladelphiaPA19104 United States

We experimentally demonstrate the simultaneous generation of phaselocked structured light beams, including optical vortices, Hopf links, and trefoil knots at fundamental and tripled frequencies in alldielectric nonlin... 详细信息

ISBN: (纸本)9781957171258

关键词： Nonlinear optics

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