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Crystallization of the transdimensional electron liquid

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arXiv 2025年

作者： Bondarev, Igor V. Boltasseva, Alexandra Khurgin, Jacob B. Shalaev, Vladimir M. Department of Mathematics & Physics North Carolina Central University DurhamNC27707 United States Elmore Family School of Electrical & Computer Engineering Purdue Quantum Science & Engineering Institute Birck Nanotechnology Center West LafayetteIN47907 United States School of Materials Engineering Purdue University West LafayetteIN47907 United States Department of Electrical & Computer Engineering Whiting School of Engineering Johns Hopkins University BaltimoreMD21218 United States

By calculating the critical densities, temperatures and phase diagrams, we show that metallic transdimensional materials are unique in that by simply reducing their thickness one can Wigner crystallize their free electrons at room temperature. When it occurs, the electrons get pinned on a two-dimensional periodic triangular lattice to form an electron super-solid (electron solid inside of a crystalline material). Such a solid melts and gets frozen back with raising and lowering the temperature, respectively, and its resistivity behaves opposite to the free electron gas model predictions. © 2025, CC BY.

关键词： Crystalline materials

Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian

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arXiv 2023年

作者： Yu, Haiyang Xu, Zhao Qian, Xiaofeng Qian, Xiaoning Ji, Shuiwang Department of Computer Science & Engineering Texas A&M University TX United States Department of Materials Science & Engineering Texas A&M University TX United States Department of Electrical & Computer Engineering Texas A&M University TX United States Department of Physics & Astronomy Texas A&M University TX United States

We consider the prediction of the Hamiltonian matrix, which finds use in quantum chemistry and condensed matter physics. Efficiency and equivariance are two important, but conflicting factors. In this work, we propose a SE(3)-equivariant network, named QHNet, that achieves efficiency and equivariance. Our key advance lies at the innovative design of QHNet architecture, which not only obeys the underlying symmetries, but also enables the reduction of number of tensor products by 92%. In addition, QHNet prevents the exponential growth of channel dimension when more atom types are involved. We perform experiments on MD17 datasets, including four molecular systems. Experimental results show that our QHNet can achieve comparable performance to the state of the art methods at a significantly faster speed. Besides, our QHNet consumes 50% less memory due to its streamlined architecture. Our code is publicly available as part of the AIRS library (https://***/divelab/AIRS). Copyright © 2023, The Authors. All rights reserved.

关键词： Quantum chemistry

Cavity-Enhanced 2D Quantum Emitters Deterministically Integrated with Silicon Nitride Microresonators

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Cavity-Enhanced 2D Quantum Emitters Deterministically Integr...

Conference on Lasers and Electro-Optics (CLEO)

作者： Kamyar Parto Shaimaa Azzam Nicholas Lewis Sahil Patel Sammy Umezawa Kenji Watanabe Takashi Taniguchi Galan Moody Department of Electrical and Computer Engineering University of California Santa Barbara CA California Nanosystems Institute University of California Santa Barbara CA Research Center for Functional Materials National Institute for Materials Science Tsukuba International Center for Materials Nanoarchitectures National Institute for Materials Science Tsukuba Japan

A new platform for position and polarization aligned 2D single-photon emitter integration within background-free silicon-nitride microring resonator is presented. Emitters achieve a cavity-enhanced coupling efficiency... 详细信息

ISBN: (纸本)9781957171258

关键词： Coupling efficiency Microresonators Polarization Purcell effect Refractive index Silicon nitride

Utilization of Artifact and Noise Affected Electrocardiogram for Simultaneous Heart Rate Computation and Motion Type Inference

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Utilization of Artifact and Noise Affected Electrocardiogram...

IEEE SENSORS

作者： Jihwan Kim Hyun Bin Kim Dengyang Lu Byeong Woon Lee Wooseok Kim Sang Uk Park Hee Kyu Lee Jaejun Lim Yida Wang Seunghwan Seo Sang Min Won Department of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea Department of Materials Science and Engineering University of Pennsylvania Philadelphia PA USA Research Laboratory of Electronics Massachusetts Institute of Technology Cambridge MA USA

The specific objective of developing neural interfaces is to analyze the electrophysiological signals associated with neural activities within the body, with the aim of providing early diagnosis for diseases related to the neural system. One example is the electrocardiogram (ECG) that assesses the functionality of the heart, identifying arrhythmias and potentially pinpointing the location of any malfunction. Conventional clinical protocols require cardiac electrical signal measurements to be conducted during a stationary phase, with an emphasis on minimizing noise interference as much as possible. While this holds true in clinical scenarios, such motion artifacts can be valuable sources of information for motion tracking. In this study, we present a methodology where we demonstrate the simultaneous monitoring and computation of both heart rate and motion using a wireless ECG sensing system with a three-electrode configuration.

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Prediction of Internet Broadband Connectivity Classification in West Java Indonesia using Machine Learning

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Prediction of Internet Broadband Connectivity Classification...

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

作者： Wahyu Haris Kusuma Atmaja Yaya Heryadi Ilvico Sonata Lukas Wayan Suparta Computer Science Department Binus Graduate Program - Computer Science Bina Nusantara University West Jakarta Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Engineering Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia

ISBN: (数字)9798350327472

ISBN: (纸本)9798350327489

A location's Take-up Rate was significantly influenced by its Internet connectivity and availability. The purpose of this research is to answer concerns about internal Internet Service Provider issues that affect Internet connectivity in clusters of West Java, Indonesia. It also aims to evaluate the results of models that forecast how these internal factors will affect internet connectivity. According to the research findings, the FTTH Cluster has eight significant Internet predictor connectivity out of 18 elements. Activation delay and Administration Documentation of Activation with Connectivity were the two major parameters modeled out of the 18 components. Artificial Neural Network (ANN), Support Vector Machine (SVM), and Decision Tree (DT) models were used to predict Internet Broadband Connectivity Classification based on the two most important variables. According to the study, ANN is the best model, with 99% accuracy and 99.6% precision when compared to SVM and DT. Furthermore, it exceeds previous studies that used the ANN model and achieved 97.92% accuracy.

关键词： Support vector machines Java Accuracy Web and internet services Artificial neural networks Predictive models Internet Broadband communication Optical fiber subscriber loops Robots

Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creation

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arXiv 2023年

作者： Liu, Guangyuan Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Kim, Dong In Shen, Xuemin The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The Department of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of The Department of Electrical and Computer Engineering University of Waterloo Canada

Artificial Intelligence Generated Content (AIGC) Services have significant potential in digital content creation. The distinctive abilities of AIGC, such as content generation based on minimal input, hold huge potential, especially when integrating with semantic communication (SemCom). In this paper, a novel comprehensive conceptual model for the integration of AIGC and SemCom is developed. Particularly, a content generation level is introduced on top of the semantic level that provides a clear outline of how AIGC and SemCom interact with each other to produce meaningful and effective content. Moreover, a novel framework that employs AIGC technology is proposed as an encoder and decoder for semantic information, considering the joint optimization of semantic extraction and evaluation metrics tailored to AIGC services. The framework can adapt to different types of content generated, the required quality and the semantic information utilized. By employing a Deep Q Network (DQN), a case study is presented that provides useful insights into the feasibility of the optimization problem and its convergence characteristics. © 2023, CC BY.

关键词： Wireless networks

Analyzing Errors in Controlled Turret System

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arXiv 2024年

作者： Karlson, Matthew Ban, Heng Cole, Daniel G. Abdelhakim, Mai Forsythe, Jennifer Fitzgibbons, John T. Department of Mechanical Engineering and Materials Science University of Pittsburgh PittsburghPA15260 United States Department of Electrical and Computer Engineering University of Pittsburgh PittsburghPA15260 United States DEVCOM Analysis Center Aberdeen Proving GroundMD21005 United States

The purpose of this paper is to characterize aiming errors in controlled weapon systems given target location as input. To achieve this objective, we analyze the accuracy of a controlled weapon system model for stationary and moving targets under different error sources and firing times. First, we develop a mathematical model of a gun turret and use it to design two controllers, a Proportional-Integral-Derivative controller and a Model Predictive controller, which accept the target location input and move the turret to the centroid of the target in simulations. For stationary targets, we analyze the impact of errors in estimating the system's parameters and uncertainty in the aimpoint measurement. Our results indicate that turret movement is more sensitive to errors in the moment of inertia than the damping coefficient, which could lead to incorrect simulations of controlled turret system accuracy. The results also support the hypothesis that turret movement errors are larger over longer distances of gun turret movement and, assuming no time constraints, accuracy improves the longer one waits to fire;though this may not always be practical in a combat scenario. Additionally, we demonstrate that the integral control component is needed for high accuracy in moving target scenarios. © 2024, CC BY-NC-ND.

关键词： Errors

Towards electrically-Pumped AlGaN UV-A Lasers with Transparent Tunnel Junctions

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Towards Electrically-Pumped AlGaN UV-A Lasers with Transpare...

Conference on Lasers and Electro-Optics (CLEO)

作者： Arnob Ghosh Agnes M. D. M. Xavier Sheikh Ifatur Rahman Andrew Allerman Siddharth Rajan Shamsul Arafin Department of Electrical and Computer Engineering The Ohio State University Columbus OH USA Sandia National Laboratories Albuquerque New Mexico USA Department of Materials Science and Engineering The Ohio State University Columbus OH USA

Molecular beam epitaxy-grown GaN/AlGaN-based active regions were optimized by varying quantum-well widths to yield increased photoluminescence intensity at UV-A wavelengths. The optimized gain medium was then used in ... 详细信息

ISBN: (纸本)9781957171258

关键词： Atomic force microscopy Laser materials Laser materials processing Lasers Physical vapor deposition Quantum well lasers

Performance comparison of InGaN-based 40–80 μm micro-LEDs fabricated with and without plasma etching

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materials Today Advances 2024年 22卷

作者： Lo, Yu-Yun Chen, Yi-Ho Hsu, Yun-Cheng Lee, Tzu-Yi Hung, Yu-Ying Kao, Yu-Cheng Zan, Hsiao-Wen Wuu, Dong- Sing Kuo, Hao-Chung Samukawa, Seiji Horng, Ray-Hua Institute of Electronics National Yang Ming Chiao Tung University 1001 University Road Hsinchu30010 Taiwan Department of Photonics College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Graduate Degree Program of College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Materials Science and Engineering National Chung Hsing University Taichung40227 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou54561 Taiwan Semiconductor Research Center Hon Hai Research Institute Taipei11492 Taiwan Institute of Communications Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan

The fabrication of InGaN-based blue 4✕4 array micro-LEDs (μLEDs) with 40 μm ✕40 μm chip size and 2✕2 array μLEDs with 80 μm ✕80 μm chip size etching by the inductive coupled plasma reactive ion etching (ICPRIE) and defect-free neutral beam etching (NBE) processes was studied in this work. In μLEDs of this size, the influence of defects formation in the sidewalls on EQE was evaluated. There was almost no difference in EQE between μLEDs array etched by the NBE process no matter 40 μm ✕40 μm and 80 μm ✕80 μm, but the dependence was observed in the ICPRIE. Even with this size, it was found that the size effect of EQE is smaller than that in case of using ICPRIE for defect-free neutral beam etching. This impact is substantial since μLED predominantly operated at low current density, around 1–5 A/cm2. Consequently, the reduction of defect density, encompassing both internal and sidewall defects, becomes imperative even in 40–80 μm InGaN-based μLEDs. This not only improves the overall efficiency of μLEDs but also fortifies the brightness stability of μLED displays if process etching by NBE. It was also found that the etching shape had an influence on EQE. It could be attributed to fact that the etching profile angle of NBE was more vertical than that of ICPRIE. Because the different angles of the mesa resulted in different light intensity. The μLEDs emitting with a wavelength of 450 nm, the light extraction efficiency and intensity at a mesa angle 58° of NBE etching μLEDs was about 8% lower than those of an angle (38°) of ICPRIE etching μLEDs by simulation. © The Authors

关键词： Light emitting diodes