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Strong Interlayer Interaction for engineering Two-Dimensional Materials

Accounts of Materials Research 2022年第12期3卷 1220-1231页

作者： Zheng Bian Jialei Miao Yuda Zhao Yang Chai School of Micro-Nano Electronics ZJUHangzhou Global Scientific and Technological Innovation CentreZhejiang UniversityHangzhou 310027China Department of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China Key Laboratory of Optoelectronic Chemical Materials and Devices of Ministry of Education Jianghan UniversityWuhan 430056China Department of Applied Physics The Hong Kong Polytechnic UniversityHong Kong 999077China

CONSPECTUS:Two-dimensional(2D)layered materials have atomically thin thickness and outstanding physical properties,attracting intensive research in past *** realize the applications in(opto)electronic devices,the strategies to engineer the properties of 2D materials have been widely explored,including defect engineering,in-plane strain engineering,surface modification,*** the in-plane bonding,the out-of-plane interlayer interaction is another unique degree of freedom to engineer the properties of 2D *** from the well-accepted weak van der Waals interactions,some recently discovered 2D material systems display strong interlayer interaction with“covalent-like quasi-bonding”.

关键词： plane bonding interlayer

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Provably Convergent Plug-and-Play Quasi-Newton Methods

arXiv

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arXiv 2023年

作者： Tan, Hong Ye Mukherjee, Subhadip Tang, Junqi Schönlieb, Carola-Bibiane Department of Applied Mathematics and Theoretical Physics University of Cambridge United Kingdom Department of Computer Science University of Bath United Kingdom School of Mathematics University of Birmingham United Kingdom Department of Electronics and Electrical Communication Engineering Indian Institute of Technology Kharagpur India

Plug-and-Play (PnP) methods are a class of efficient iterative methods that aim to combine data fidelity terms and deep denoisers using classical optimization algorithms, such as ISTA or ADMM, with applications in inverse problems and imaging. Provable PnP methods are a subclass of PnP methods with convergence guarantees, such as fixed point convergence or convergence to critical points of some energy function. Many existing provable PnP methods impose heavy restrictions on the denoiser or fidelity function, such as nonexpansiveness or strict convexity, respectively. In this work, we propose a novel algorithmic approach incorporating quasi-Newton steps into a provable PnP framework based on proximal denoisers, resulting in greatly accelerated convergence while retaining light assumptions on the denoiser. By characterizing the denoiser as the proximal operator of a weakly convex function, we show that the fixed points of the proposed quasi-Newton PnP algorithm are critical points of a weakly convex function. Numerical experiments on image deblurring and super-resolution demonstrate 2-8x faster convergence as compared to other provable PnP methods with similar reconstruction *** Codes 49M15, 49J52, 65K15 Copyright © 2023, The Authors. All rights reserved.

关键词： Image reconstruction

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Dynamic Mapping of Temperature Using Phase-Change Materials

Dynamic Mapping of Temperature Using Phase-Change Materials

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CLEO: Science and Innovations, S and I 2022

作者： Nobile, Nicholas Erickson, John Ríos, Carlos Zhang, Yifei Hu, Juejun Xiong, Feng Youngblood, Nathan Univ. of Pittsburgh Dept. of Electrical and Computer Engineering Benedum Hall 3700 O'Hara St. PittsburghPA15261 United States Department of Materials Science & Engineering University of Maryland College ParkMD United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD United States Department of Materials Science & Engineering MIT CambridgeMA United States

GST pixels are fabricated on metallic heaters where the optical reflection is observed and used to extract dynamic temperature changes. Our results provide a new way to measure the thermal response of microsystems in ... 详细信息

ISBN: (纸本)9781557528209

关键词： Phase change materials

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Optical Spectroscopy of Excitons in ReS2 Monolayers Grown by Chemical Vapor Deposition

SSRN

引用

SSRN 2024年

作者： Ojo, Solomon Onasanya, Juwon Benamara, Mourad Hamad, Bothina Manasreh, M.O. Material Science and Engineering program University of Arkansas FayettevilleAR72701 United States Institute of nanotechnology University of Arkansas FayettevilleAR72701 United States Physics Department University of Arkansas FayettevilleAR72701 United States Department of Electrical Engineering and Computer Science University of Arkansas FayettevilleAR72701 United States

Monolayers of ReS2 were grown by a chemical vapor deposition technique on SiO2/Si substrates and investigated at room temperature by using μ-Raman, μ-photoluminescence (PL) and absorbance spectroscopies. The Raman scattering spectrum exhibits several phonon modes that were confirmed by the computation analysis based on the density functional theory. The ReS2 structural integrity was confirmed by using the XRD and the energy dispersion spectroscopy that was obtained by the scanning electron microscopy. Photoluminescence spectra show excitons related to interband transition in thin monolayer flakes and bulk-like structures. Additionally, a sharp PL line located at 1.2620 eV with a second harmonic peak at 2.5420 eV was observed and explained in terms of interband excitonic transitions originating within the rhenium 5d orbit. An optical absorbance spectrum with an exciton peak around 1.4660 eV was obtained for an assembly of ReS2 flakes grown on silica substrate. © 2024, The Authors. All rights reserved.

关键词： Phonons

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Image Filtering Techniques for Beam Prediction in a Real-world 6G UAV Scenario

Image Filtering Techniques for Beam Prediction in a Real-wor...

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IEEE World Symposium on Communication engineering (WSCE)

作者： Vasileios P. Rekkas Sotirios P. Sotiroudis Panagiotis Sarigiannids Konstantinos E. Psannis George K. Karagiannidis Sotirios K. Goudos ELEDIA@AUTH School of Physics Aristotle University of Thessaloniki Thessaloniki Greece Department of Informatics and Telecommunications Engineering University of Western Macedonia Kozani Greece Department of Applied Informatics University of Macedonia Thessaloniki Greece School of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece

Millimeter-wave (mm-wave) and terahertz (THz) communication systems can satisfy the high data rate requirements in 5G, 6G, and beyond networks, but still rely on the use of extensive antenna arrays to guarantee sufficient received signal strength. Many antennas incur high beam training overhead; thus, the narrow beams require adjustment to support highly mobile applications. Deep learning (DL) vision-aided solutions can potentially forecast the optimal beams, leveraging raw RGB images captured at the base station. Image filtering techniques have been widely used in computer vision (CV) to modify and enhance the quality of an image, based on specific rules. This work applies different filters to RGB images for accurate mm-wave/THz beam prediction and feature extraction based on pre-trained convolutional neural networks (CNNs). The assessment of the developed framework is conducted on an actual dataset captured by an unmanned aerial vehicle (UAV) operating in the millimeter-wave (mm-wave) frequency range. The dataset comprises RGB images taken at the base station. Ensemble filtering techniques are also studied, enhancing the beam prediction accuracy of two state-of-the-art (SOTA) DL models.

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Doubly-resonant metal-free aluminum nitride electro-optic modulator

Doubly-resonant metal-free aluminum nitride electro-optic mo...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Steven T. Lipkowitz Karen E. Grutter Thomas E. Murphy Department of Electrical and Computer Engineering University of Maryland College Park MD USA Laboratory for Physical Sciences College Park MD USA Institute for Research in Electronics and Applied Physics University of Maryland College Park MD USA

Here we use the near field of a dielectric resonant antenna to modulate an on-chip aluminum nitride ring resonator. Using this device we demonstrate entirely metal-free electro-optic modulation at 15.1 GHz.

ISBN: (纸本)9781957171258

关键词： Electrooptical modulators Optical components Resonant modes Ring resonators Second harmonic generation Tunable lasers

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A smart ocean observation system for reliable real-time measurements

A smart ocean observation system for reliable real-time meas...

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OCEANS

作者： Camilla Saetre Astrid Marie Skålvik Kjell-Eivind Frøysa Marie Bueie Holstad Department of Physics and Technology University of Bergen Bergen Norway Dept. of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen Norway NORCE Norwegian Research Center Bergen Norway

This paper presents a research and innovation centre for a smart ocean observation system. The main goal of the centre, SFI Smart Ocean, is to enable sustainable ocean management through real-time measurements from autonomous and smart sensors. As for smart systems on-land, a smart ocean observation system of sensors requires wireless communication and a software platform gathering all required data. To ensure usability in real-time, minimize maintenance costs, and time-consuming delayed mode data analysis, it is paramount to ensure high reliability of the system. This can be achieved by on-line quality control, self-diagnostics, and self-calibration at the sensors.

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Cavity enhanced emission from a silicon T center

arXiv

引用

arXiv 2023年

作者： Islam, Fariba Lee, Chang-Min Harper, Samuel Rahaman, Mohammad Habibur Zhao, Yuqi Vij, Neelesh Kumar Waks, Edo Institute for Research in Electronics and Applied Physics Joint Quantum Institute University of Maryland College ParkMD20742 United States Department of Electrical and Computer Engineering University of Maryland College ParkMD20740 United States

Silicon T centers present the promising possibility to generate optically active spin qubits in an all-silicon device. However, these color centers exhibit long excited state lifetimes and a low Debye-Waller factor, making them dim emitters with low efficiency into the zero-phonon line. Nanophotonic cavities can solve this problem by enhancing radiative emission into the zero-phonon line through the Purcell effect. In this work we demonstrate cavity-enhanced emission from a single T center in a nanophotonic cavity. We achieve a two-orders of magnitude increase in brightness of the zero-phonon line relative to waveguide-coupled emitters, a 23% collection efficiency from emitter to fiber, and an overall emission efficiency into the zero-phonon line of 63.4%. We also observe a lifetime enhancement of 5, corresponding to a Purcell factor exceeding 18 when correcting for the emission to the phonon sideband. These results pave the way towards efficient spin-photon interfaces in silicon photonics. © 2023, CC BY.

关键词： Photons

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A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19

A Neuroimaging ML-Based Framework for Anosmia Grading in Cov...

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IEEE International Symposium on Biomedical Imaging

作者： Hossam Magdy Balaha Mayada Elgendy Ahmed Alksas Mohamed Shehata Norah Saleh Alghamdi Fatma Taher Mohammed Ghazal Mahitab Ghoneim Eslam Hamed Fatma Sherif Ahmed Elgarayhi Mohammed Sallah Mohamed Abdelbadie Salem Elsharawy Kamal Harpal Sandhu Ayman El-Baz Department of Bioengineering J.B. Speed School of Engineering University of Louisville Louisville USA Applied Theoretical Physics Research Group Physics Department Faculty of Science Mansoura University Egypt Department of Computer Sciences College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Saudi Arabia The College of Technological Innovation Zayed University Dubai UAE Electrical Computer and Biomedical Engineering Depatrment Abu Dhabi University UAE Department of Radiology Faculty of Medicine Mansoura University Egypt Otolaryngology Department Faculty of Mediine Mansoura University Egypt Higher Institute of Engineering and Technology Egypt

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

SARS-CoV-2 is the cause of the acute respiratory illness COVID-19. In order to identify whether a COVID-19 patient has normal, moderate, or severe anosmia, this study suggests a computer-assisted diagnostic system. It utilizes fluid-attenuated inversion recovery Magnetic Resonance Imaging and Diffusion Tensor Imaging to extract the olfactory nerve’s appearance, morphology, and diffusivity markers. The suggested CAD system consists of the following stages: (1) extract appearance markers, morphology markers, and diffusivity markers, (2) apply markers fusion, and (3) select the most promising classifier as the basis for the decision and the relevant performance indicators. The current work is unique in that it uses an ensemble of the trained, tuned, and improved ML classifiers to identify OB anosmia using majority voting. From the fusion tests using different folds, stacking boosted the weight accuracy, weighted precision, weighted specificity, weighted sensitivity, and weighted F1-score to 85.30%, 80%, 89.50%, 78.90%, and 78.30% respectively. Regarding the various performance criteria, the LGBM outperforms other ML classifiers.

关键词： COVID-19 Neuroimaging Sensitivity Shape Stacking Olfactory Morphology

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Spectral width of maximum deposition eigenchannels in diffusive media

引用

Physical Review B 2025年第14期111卷 144202-144202页

作者： Rohin E. McIntosh Arthur Goetschy Nicholas Bender Alexey Yamilov Chia Wei Hsu Hasan Yılmaz Hui Cao Department of Physics Yale University New Haven Connecticut 06511 USA Institut Langevin ESPCI Paris PSL University CNRS F-75005 Paris France School of Applied and Engineering Physics Cornell University Ithaca New York 14850 USA Physics Department Missouri University of Science & Technology Rolla Missouri 65409 USA Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles California 90089 USA Institute of Materials Science and Nanotechnology National Nanotechnology Research Center (UNAM) Bilkent University 06800 Ankara Turkey

The maximum deposition eigenchannel provides the largest possible power delivery to a target region inside a diffusive medium by optimizing the incident wavefront of a monochromatic beam. It originates from constructive interference of scattered waves, which is frequency sensitive. We investigate the spectral width of the maximum deposition eigenchannels over a range of target depths using numerical simulations of a 2D diffusive system. Compared to tight focusing into the system, power deposition to an extended region is more sensitive to frequency detuning. The spectral width of enhanced delivery to a large target displays a rather weak, nonmonotonic variation with target depth, in contrast to a sharp drop of focusing bandwidth with depth. While the maximum enhancement of power deposited within a diffusive system can exceed that of power transmitted through it, this comes at the cost of a narrower spectral width. We investigate the narrower deposition width in terms of the constructive interference of transmission eigenchannels within the target. We further observe that the spatial field distribution inside the target region decorrelates more slowly with spectral detuning than the power decay of the maximum deposition eigenchannel. Additionally, absorption increases the spectral width of deposition eigenchannels, but the depth dependence remains qualitatively identical to that without absorption. These findings hold for any diffusive waves, including electromagnetic waves, acoustic waves, pressure waves, mesoscopic electrons, and cold atoms.

关键词： Wavefronts

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