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Controlled growth of two-dimensional InAs single crystals via van der Waals epitaxy

Nano Research 2022年第11期15卷 9954-9959页

作者： Jiuxiang Dai Teng Yang Zhitong Jin Yunlei Zhong Xianyu Hu Jingyi Zou Weigao Xu Tao Li Yuxuan Lin Xu Zhang Lin Zhou School of Chemistry and Chemical Engineering Frontiers Science Centre for Transformative MoleculesShanghai Jiao Tong UniversityShanghai 200240China Shenyang National Laboratory for Materials Science Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China Department of Electrical and Computer Engineering Carnegie Mellon UniversityPittsburghPA 15213USA Key Laboratory of Mesoscopic Chemistry School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210023China Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720USA

Two-dimensional(2D)indium arsenide(InAs)is promising for future electronic and optoelectronic applications such as highperformance nanoscale transistors,flexible and wearable devices,and high-sensitivity broadband photodetectors,and is advantageous for its heterogeneous integration with Si-based ***,the synthesis of 2D InAs single crystals is challenging because of the nonlayered *** we report the van der Waals epitaxy of 2D InAs single crystals,with their thickness down to 4.8 nm,and their lateral sizes up to~37μ*** as-grown InAs flakes have high crystalline quality and are *** thickness can be tuned by growth time and ***,we explore the thickness-dependent optical properties of InAs *** measurement reveals that 2D InAs possesses high conductivity and high carrier *** work introduces InAs to 2D materials family and paves the way for applying 2D InAs in high-performance electronics and optoelectronics.

关键词： two-dimensional materials van der Waals epitaxy indium arsenide nonlayered material

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Site-Controlled Plasmon-Assisted Single Photon Emission in Locally Strained Few-Layer Hexagonal Boron Nitride

Site-Controlled Plasmon-Assisted Single Photon Emission in L...

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CLEO: Fundamental science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Sakib, Mashnoon Alam Triplett, Brandon Hussain, Naveed Senichev, Alexander Xu, Xiaohui Momenzadeh, Melika Boltasseva, Alexandra Shalaev, Vladimir M. Shcherbakov, Maxim R. Department of Electrical Engineering and Computer Science University of California IrvineCA92697 United States School of Electrical and Computer Engineering Birck Nanotechnology Center Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Oak RidgeTN37931 United States Department of Materials Science and Engineering University of California IrvineCA92697 United States Beckman Laser Institute and Medical Clinic University of California IrvineCA92612 United States

ISBN: (纸本)9781957171395

We report on the site-controlled Purcell-enhanced quantum emitters in hexagonal boron nitride by strain-induced activation in gold-coated silicon nanoposts. The room temperature emitters show a second-order autocorrelation function value at zero time delay g(2)(0) of down to 0.29, lifetimes shortened to 0.5 ns, and single photon emitter yield of 28%. © Optica Publishing Group 2024, © 2024 The Author(s)

关键词： Gold coatings

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Density Based Spatial Clustering of Applications with Noise and Sentence Bert Embedding for Indonesian Utterance Clustering

Density Based Spatial Clustering of Applications with Noise ...

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2023 International Conference on computer science, Information Technology and engineering, ICCoSITE 2023

作者： Hasani, Muhammad Fikri Heryadi, Yaya Arifin, Yulyani Lukas Suparta, Wayan Bina Nusantara University BINUS Graduate Program Computer Science School of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Department of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (纸本)9798350320954

Task oriented chatbots are a sub-topic related to chatbots, where chatbots will perform certain tasks with specific goals. One part of creating a task-oriented chatbot is doing intent classification. Intent classification is a task of text classification. As in general text classification, the required dataset requires a label to carry out the classification process. To speed up and help the utterance analysis process, there is already a method, namely clustering, and Density-based clustering is a part of clustering that can determine cluster patterns based on arbitrary data, with DBScan as one of its algorithms. This research used 10000 client utterance data of awhatsapp based e-commerce conversation. SentenceBert also used as a state of art sentence embedding. This research yield silhouette score of 0.327 as the best result from eps of 0.1 and MinPts of 95. However, based on the cluster result, sentences labelled as noise can be further clustered. Text Preprocessing, text augmentation and sentence embedding techniques can be explored to increase the cluster performance. © 2023 IEEE.

关键词： Embeddings

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Thermal Hall effect in insulating quantum materials

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The Innovation 2022年第5期3卷 3-4页

作者： Shucheng Guo Youming Xu Ran Cheng Jianshi Zhou Xi Chen Department of Electrical and Computer Engineering University of CaliforniaRiversideRiversideCA 92521USA Department of Physics and Astronomy University of CaliforniaRiversideRiversideCA 92521USA Materials Science and Engineering Program Department of Mechanical EngineeringUniversity of Texas at AustinAustinTX 78712USA

The emerging field of quantum materials involves an exciting new class of materials in which charge,spin,orbital,and lattice degrees of freedom are intertwined,exhibiting a plethora of exotic physical *** materials include,but are not limited to,superconductors,topological quantum matter,and systems with frustrated spins,which enable a wide range of potential applications in biomedicine,energy transport and conversion,quantum sensing,and quantum information processing。

关键词： properties. quantum topological

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Short Wave Infrared Upconversion Imager with Electron Blocking Layer to Screen Electron Injection into Photosensitive Layer 5

Short Wave Infrared Upconversion Imager with Electron Blocki...

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5th IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2023

作者： Shin, Chanho Li, Ning Ng, Tse Nga University of California San Diego Material Science and Engineering Program La Jolla United States University of California San Diego Department of Electrical and Computer Engineering La Jolla United States

ISBN: (纸本)9781665457330

In this work, we demonstrated upconversion imagers integrated with shortwave infrared photodetectors paired with an electron blocking layer. The use of electron blocking layer screened charge injection to prevent recombination in photosensitive layer. The characteristics of each electron blocking layer were analyzed in aspects of noise and detectivity. For the optimized device, the parasitic luminance in the dark was efficiently suppressed, and the photon-to-photon efficiency was increased. The electron blocking layer used in this work is generally applicable for upconversion imagers using different absorption and emitting materials. © 2023 IEEE.

关键词： Photodetectors

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Broadband and Tailorable THz Emission from Spintronic Photonic Crystals

Broadband and Tailorable THz Emission from Spintronic Photon...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Ghaffari, Abbas Thapa, Puja Collazo, Ramón Gundogdu, Kenan Sun, Dali Gu, Qing Department of Electrical and Computer Engineering North Carolina State University Raleigh27695 United States Department of Physics North Carolina State University Raleigh27695 United States Department of Materials Science and Engineering North Carolina State University Raleigh27606 United States

We explore THz generation from structured ferromagnet/ultrawide bandgap semiconductor heterostructures. The emission spectrum can span the entire THz gap, be enhanced, and tuned by changing size and periodicity of the... 详细信息

ISBN: (纸本)9781957171395

关键词： Spintronics

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Automatic LPI Radar Waveform Recognition Using Vision Transformer

Automatic LPI Radar Waveform Recognition Using Vision Transf...

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2023 IEEE International Radar Conference, RADAR 2023

作者： Kim, Junseob Cho, Sunghwan Hwang, Sunil Choi, Yeongyoon Korea Military Academy Department of Electrical Engineering 01805 Korea Republic of Defense Acquisition Program Administration Maneuver System Coordination and Contract Team 13809 Korea Republic of Gist Department of Electrical Engineering and Computer Science 61005 Korea Republic of

ISBN: (纸本)9781665482783

This paper investigates the classification of low probability of intercept (LPI) radar signals by exploiting the intrinsic advantages of the Vision Transformer (ViT). Due to the characteristics of LPI radar signals, such as intrapulse modulation, wide frequency bands, and low transmission power, these signals are challenging to be detected and classified using traditional analytic methods. This has led to the adoption of various deep learning techniques to overcome these limitations. On the one hand, the ViT, originally developed for natural language processing, has demonstrated outstanding performance in computer vision by replacing the structure of the convolutional neural network (CNN) with the transformer, specifically leveraging self-attention. Therefore, this paper explores a method based on the ViT technique for classifying LPI signal images. The simulation results show that the proposed ViT method outperforms the traditional CNN method by 12.8% at -10dB SNR. © 2023 IEEE.

关键词： Convolutional neural networks

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Magnetoelastic coupling driven magnon gap in a honeycomb antiferromagnet

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Physical Review B 2024年第10期110卷 104419页

作者： Jeongheon Choe Andrey Baydin Gaihua Ye Bowen Ma Cynthia Nnokwe Martin Rodriguez-Vega David Lujan Swati Chaudhary Fuyang Tay Jiaming He Hiroyuki Nojiri Jianshi Zhou Gregory A. Fiete Junichiro Kono Rui He Xiaoqin Li Department of Physics Center of Complex Quantum Systems Center for Dynamics and Control of Materials Department of Electrical and Computer Engineering Smalley–Curl Institute Department of Physics Applied Physics Graduate Program Smalley–Curl Institute Department of Mechanical Engineering Institute for Materials Research Department of Physics and Astronomy Department of Materials Science and NanoEngineering

Cobalt titanate, CoTiO3, is a honeycomb antiferromagnet recently confirmed experimentally to host Dirac magnons, topological spin-orbit excitons, and chiral phonons. Here, we investigate a magnon gap at the zone center which calls for a refined spin Hamiltonian. We propose a microscopic model for the magnon gap and attribute it to a lattice-distortion (phonon)-induced higher-order spin interaction. Strong magnetoelastic coupling in CoTiO3 is also evident in Raman spectra, in which the magnetic order exerts a stronger influence on phonons corresponding to in-plane ionic motions than those with out-of-plane motions. We further examine the evolution of the zone-center magnons in a high magnetic field up to 18.5 T via THz absorption spectroscopy measurements. Based on this field dependence, we propose a spin Hamiltonian that not only agrees with magnon dispersion measured by inelastic neutron scattering but also includes fewer exchange constants and a realistic anisotropy term. Our work highlights the broad implications of magnetoelastic coupling in the study of topologically protected bosonic excitations.

关键词： Magnetism Magnons Topological materials Raman spectroscopy Terahertz spectroscopy

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Microstructure controlled synthesis of Ni,N-codoped CoP/carbon fiber hybrids with improving reaction kinetics for superior sodium storage

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Journal of materials science & Technology 2022年第4期99卷 184-192页

作者： Huijun Li Xiaomin Wang Zhenxin Zhao Rajesh Pathak Siyue Hao Xiaoming Qiu Qiquan Qiao College of Materials Science and Engineering Taiyuan University of TechnologyTaiyuan 030024China Shanxi Key Laboratory of New Energy Materials and Devices Taiyuan University of TechnologyTaiyuan 030024China Department of Electrical Engineering and Computer Science Center for Advanced Photovoltaics and Sustainable EnergySouth Dakota State UniversityBrookingsSD 57007USA Mechanical&Aerospace Engineering Syracuse UniversitySyracuseNY 13244USA

Transition-metal phosphides(TMPs)-based hybrid structure have received considerable attention for efficient sodium storage owing to their high capacity and decent ***,the volume expansion&the poor electronic conductivity of TMPs,the poor-rate capability,and fast capacity decay greatly hinder its practical *** address these issues,a low-cost and facile strategy for the synthesis of Ni,N-codoped graphitized carbon(C)and cobalt phosphide(CoP)embedded in carbon fiber(Ni-CoP@CN⊂CF)as self-supporting anode material is demonstrated for the first *** graphitized carbon and carbon fiber improve the electrical conductivity and inhibit the volume expansion *** addition to that,the microporous structure,and ultrasmall sized Ni-CoP offer a high surface area for electrolyte wettability,short Na-ion diffusion path and fast charge transport *** a result,outstanding electrochemical performance with an average capacity decay of 0.04%cycle^(−1)at 2000 mA g^(−1),an excellent rate capability of 270 mAh g^(−1)@2000 mA g^(−1)and a high energy density of~231.1 Wh kg^(−1)is achieved with binder-free self-supporting anode *** work shows a potential for designing binder-free and high energy density sodium-ion batteries.

关键词： Ultrasmall Ni-CoP Carbon shell Microporous structure High Na^(+)diffusion coefficients Sodium-ion batteries

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Quasi Polynomial and Interpolative Models for Tensor Approximation

Quasi Polynomial and Interpolative Models for Tensor Approxi...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jeongmin Chae Selin Bac Usama Saleem Shaama Mallikarjun Sharada Urbashi Mitra Department of Electrical and Computer Engineering University of Southern California Department of Chemical Engineering and Materials Science University of Southern California

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

A novel Tucker decomposition based tensor approximation is considered herein: observations based on only a few lateral slices and side structural information of a true tensor are exploited. This work is motivated by quantum chemistry problems wherein full Hessian computation is expensive, but partial computation is available. The proposed method successfully estimates the quasi-polynomial and interpolative structure of frontal and lateral slices given a priori knowledge of the true tensor. A theoretical error bound is provided, which characterizes the impact due to errors in the side information. To the best of our knowledge, this work proposes the first tensor approximation with side information and interpolation.

关键词： Interpolation Estimation error Tensors Quantum chemistry Signal processing Numerical simulation Polynomials Acoustics Speech processing

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