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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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N-polar InGaN/GaN nanowires: overcoming the efficiency cliff of red-emitting micro-LEDs

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Photonics Research 2022年第4期10卷 1107-1116页

作者： A.Pandey Y.Malhotra P.Wang K.Sun X.Liu Z.Mi Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMichigan 48109USA Department of Materials Science and Engineering University of MichiganAnn ArborMichigan 48109USA

A high efficiency, high brightness, and robust micro or sub-microscale red light emitting diode(LED) is an essential, yet missing, component of the emerging virtual reality and future ultrahigh resolution mobile *** report, for the first time, to our knowledge, the demonstration of an N-polar In GaN/GaN nanowire submicroscale LED emitting in the red spectrum that can overcome the efficiency cliff of conventional red-emitting micro-LEDs. We show that the emission wavelengths of N-polar In GaN/GaN nanowires can be progressively shifted from yellow to orange and red, which is difficult to achieve for conventional In GaN quantum wells or Ga-polar nanowires. Significantly, the optical emission intensity can be enhanced by more than one order of magnitude by employing an in situ annealing process of the In GaN active region, suggesting significantly reduced defect formation. LEDs with lateral dimensions as small as ~0.75 μm, consisting of approximately five nanowires, were fabricated and characterized, which are the smallest red-emitting LEDs ever reported, to our knowledge. A maximum external quantum efficiency ~1.2% was measured, which is comparable to previously reported conventional quantum well micro-LEDs operating in this wavelength range, while our device sizes are nearly three to five orders of magnitude smaller in surface area.

关键词： InGaN/GaN emitting polar

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On-demand magnon resonance isolation in cavity magnonics

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Physical Review Applied 2025年第2期23卷 024053-024053页

作者： Amin Pishehvar Zhaoyou Wang Yujie Zhu Yu Jiang Zixin Yan Fangxin Li Josep M. Jornet Jia-Mian Hu Liang Jiang Department of Electrical and Computer Engineering Northeastern University Boston Massachusetts 02115 USA Pritzker School of Molecular Engineering University of Chicago Chicago Illinois 60637 USA Department of Materials Science and Engineering University of Wisconsin—Madison Madison Wisconsin53706 USA

Cavity magnonics is a promising field focusing on the interaction between spin waves (magnons) and other types of signal. In cavity magnonics, isolation of magnons from the cavity to allow signal storage and processing fully in the magnonic domain is highly desired, but its realization is often hindered by the lack of necessary tunability of the interaction. This work shows that by using the collective mode of two yttrium iron garnet spheres and applying Floquet engineering, magnonic signals can be switched on demand to a magnon dark mode that is protected from the environment, enabling a variety of manipulation over the magnon dynamics. Our demonstration can be scaled up to systems with an array of magnonic resonators, paving the way for large-scale programmable hybrid magnonic circuits.

关键词： Yttrium iron garnet

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Seatbelt-Embroidered Metamaterials for In-Vehicle Vital Sign Monitoring

Seatbelt-Embroidered Metamaterials for In-Vehicle Vital Sign...

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2023 IEEE/MTT-S International Microwave Symposium, IMS 2023

作者： Zeng, Qihang Tian, Xi Nguyen, Dat T. Yang, Xin Chia, Patrick Wu, Changsheng Ho, John S. National University of Singapore Department of Electrical and Computer Engineering Singapore National University of Singapore SIA-NUS Digital Aviation Corporate Laboratory Singapore National University of Singapore Integrative Sciences & Engineering NUS Graduate School Singapore National University of Singapore Department of Materials Science and Engineering Singapore

ISBN: (纸本)9798350347647

Continuous in-vehicle physiological monitoring can improve safety through early detection of driver fatigue and drowsiness. However, developing a system capable of effective and robust physiological monitoring in practical driving scenarios is challenging due to the noisy vehicular environment in which the sensor is exposed to engine vibrations, unpredictable road conditions and random body motions. In this work, we introduce a seatbelt-integrated metamaterial sensor for unobtrusive and continuous in-vehicle respiration and heartbeat monitoring. The metamaterial sensor is fabricated by digital embroidery of conductive threads and can continuously monitor respiration and heartbeat in a contactless manner. Our sensor supports confined microwave surface waves that are modulated by subtle local physiological motions, which are sensitively transduced into changes in the phase of the transmitted signal. We developed an algorithm based on variational mode decomposition (VMD) for noise-robust extraction of respiration and heart rate. We experimentally demonstrate the embroidered metamaterial in real-life driving scenarios and show accurate heartbeat detection with a median inter-beat interval (IBI) detection error of 23.5 ms during driving. Our results highlight the potential of embroidered metamaterial sensors in driver physiological monitoring applications, especially for the unobtrusive detection of fatigue and drowsiness. © 2023 IEEE.

关键词： Surface waves

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Recent advances and applications of deep learning methods in materials science

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npj Computational materials 2022年第1期8卷 548-573页

作者： Kamal Choudhary Brian DeCost Chi Chen Anubhav Jain Francesca Tavazza Ryan Cohn Cheol Woo Park Alok Choudhary Ankit Agrawal Simon J.L.Billinge Elizabeth Holm Shyue Ping Ong Chris Wolverton Materials Science and Engineering Division National Institute of Standards and TechnologyGaithersburgMD20899USA Theiss Research La JollaCA92037USA DeepMaterials LLC Silver SpringMD20906USA Material Measurement Science Division National Institute of Standards and TechnologyGaithersburgMD20899USA Department of NanoEngineering University of California San DiegoSan DiegoCA92093USA Energy Technologies Area Lawrence Berkeley National LaboratoryBerkeleyCAUSA Department of Materials Science and Engineering Carnegie Mellon UniversityPittsburghPA15213USA Department of Materials Science and Engineering Northwestern UniversityEvanstonIL60208USA Department of Electrical and Computer Engineering Northwestern UniversityEvanstonIL60208USA Department of Applied Physics and Applied Mathematics and the Data Science Institute Fu Foundation School of Engineering and Applied SciencesColumbia UniversityNew YorkNY10027USA

Deep learning(DL)is one of the fastest-growing topics in materials data science,with rapidly emerging applications spanning atomistic,image-based,spectral,and textual data *** allows analysis of unstructured data and automated identification of *** recent development of large materials databases has fueled the application of DL methods in atomistic prediction in *** contrast,advances in image and spectral data have largely leveraged synthetic data enabled by high-quality forward models as well as by generative unsupervised DL *** this article,we present a high-level overview of deep learning methods followed by a detailed discussion of recent developments of deep learning in atomistic simulation,materials imaging,spectral analysis,and natural language *** each modality we discuss applications involving both theoretical and experimental data,typical modeling approaches with their strengths and limitations,and relevant publicly available software and *** conclude the review with a discussion of recent cross-cutting work related to uncertainty quantification in this field and a brief perspective on limitations,challenges,and potential growth areas for DL methods in materials science.

关键词： learning limitations textual

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Electron Dynamics of Femtosecond Laser Induced Plasma Inside Multilayer Dielectric High Reflectors Studied Using Particle-in-Cell (PIC) Approach

Electron Dynamics of Femtosecond Laser Induced Plasma Inside...

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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： Su, Ziyao Smith, Joseph R. Chowdhury, Enam The Ohio State University Department of Materials Science and Engineering ColumbusOH43210 United States Marietta College Department of Physics MariettaOH45750 United States The Ohio State University Department of Electrical and Computer Engineering ColumbusOH43210 United States The Ohio State University Department of Physics ColumbusOH43210 United States

The strong field ionized electron motion and energy in the interaction of few-cycle femtosecond laser and SiO2/HfO2-based multilayer dielectric reflector designed for 800nm is studied using the PIC method incorporated... 详细信息

关键词： Femtosecond lasers

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Controllable multi-level switching of optical phase change materials via microheater temperature profile engineering

Controllable multi-level switching of optical phase change m...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Sun, Hongyi Lian, Chuanyu Vásquez-Aza, Francis Huang, Yi-Siou Vitale, Steven A. Takeuchi, Ichiro Hu, Juejun Youngblood, Nathan Pavlidis, Georges Ríos Ocampo, Carlos A. Department of Materials Science & Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Mechanical Engineering University of Connecticut StorrsCT06269 United States Advanced Materials and Microsystems Group MIT Lincoln Laboratory LexingtonMA02139 United States Quantum Materials Center Department of Physics University of Maryland College ParkMD20742 United States Department of Materials Science & Engineering MIT CambridgeMA02139 United States Electrical & Computer Engineering Department The University of Pittsburgh PittsburghPA15213 United States

ISBN: (纸本)9781957171395

We demonstrate doped-silicon-on-insulator microheaters with triangle-like temperature profiles. Such devices control the hotspot size and temperature and, thus, the area that undergoes amorphization or crystallization in optical phase-change materials, leading to controllable multilevel, nonvolatile response. © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Optical materials

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Electron Dynamics of Femtosecond Laser Induced Plasma Inside Multilayer Dielectric High Reflectors Studied Using Particle-in-Cell (PIC) Approach

Electron Dynamics of Femtosecond Laser Induced Plasma Inside...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

ISBN: (纸本)9781957171395

关键词： Femtosecond lasers

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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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Plasmonic and Interferometric Optical Fiber Sensors for electrical System Monitoring Applications

Plasmonic and Interferometric Optical Fiber Sensors for Elec...

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2023 Active Photonic Platforms, APP 2023

作者： Ohodnicki, P.R. Su, Y.D. Karki, D. Khanikar, T. Naeem, K. Lalam, N. Wuenschell, J.K. Buric, M.P. Wright, R. Department of Mechanical Engineering and Materials Science University of Pittsburgh PittsburghPA15213 United States Department of Electrical and Computer Engineering University of Pittsburgh PittsburghPA15213 United States National Energy Technology Laboratory PittsburghPA15213 United States

ISBN: (纸本)9781510665088

electrical system monitoring applications are of increasing importance given recent trends towards electrification driving adoption of renewables and electric vehicles, for example. Thermal and acoustic signatures play an important role in health monitoring while electrical and magnetic field signatures can provide information about operational state. Optical fiber sensors are of particular interest for electrical system applications because of the compatibility with deployment in electrified systems without concerns for electromagnetic interference (EMI) or additional potential risks due to the presence of electrical sensor wires or power at the sensing location, particularly for medium voltage electrical systems. In this presentation, an overview of recent work in optical fiber-based sensing for electrical asset monitoring applications will be discussed in detail. Plasmonic sensors integrated with engineered nanomaterials will be discussed for thermal and other health monitoring applications while interferometric sensors will be discussed for acoustics and also magnetic fields and electrical current sensing. New directions in fiber-based sensing applications will also be discussed moving into the future. © 2023 SPIE.

关键词： Fiber optic sensors

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