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Non-Hermitian chiral degeneracy of gated graphene metasurfaces

Light(Science & Applications) 2023年第5期12卷 766-775页

作者： Soojeong Baek Sang Hyun Park Donghak Oh Kanghee Lee Sangha Lee Hosub Lim Taewoo Ha Hyun Sung Park Shuang Zhang Lan Yang Bumki Min Teun-Teun Kim Department of Mechanical Engineering Korea Advanced Institute of Science and Technology(KAIST)Daehak-ro 291Daejeon 34141Republic of Korea Department of Electrical and Computer Engineering University of Minnesota200 Union street SEMinneapolisMN 55455USA Harvard Institute of Medicine Harvard Medical SchoolHarvard UniversityBrigham and Women's Hospital25 Shattuck StreetBostonMA 02215USA Center for Integrated Nanostructure Physics Institute for Basic Science(IBS)Sungkyunkwan UniversitySeobu-ro 2066Suwon 16419Republic of Korea Samsung Advanced Institute of Technology Samsung ElectronicsSamsung-roSuwon 16678Republic of Korea Department of Physics The University of Hong KongPokfulam RoadHong Kong Special Administrative RegionChina Department of Electrical and Systems Engineering Washington University1 Brookings DriveSaint LouisMO 63130USA Department of Physics Korea Advanced Institute of Science and Technology(KAIST)Daehak-ro 291Daejeon 34141Republic of Korea Department of Physics University of UlsanDaehakroUlsan 44610Republic of Korea Korea Research Institute of Standards and Science(KRISS) Gajeong-ro 267Daejeon 34113Republic of Korea

Non-Hermitian degeneracies,also known as exceptional points(EPs),have been the focus of much attention due to their singular eigenvalue surface ***,as pertaining to a non-Hermitian metasurface platform,the reduction of an eigenspace dimensionality at the EP has been investigated mostly in a passive repetitive ***,we propose an electrical and spectral way of resolving chiral EPs and clarifying the consequences of chiral mode collapsing of a non-Hermitian gated graphene *** specifically,the measured non-Hermitian Jones matrix in parameter space enables the quantification of nonorthogonality of polarisation eigenstates and half-integer topological charges associated with a chiral ***,the output polarisation state can be made orthogonal to the coalesced polarisation eigenstate of the metasurface,revealing the missing dimension at the chiral *** addition,the maximal nonorthogonality at the chiral EP leads to a blocking of one of the cross-polarised transmission pathways and,consequently,the observation of enhanced asymmetric polarisation *** anticipate that electrically controllable non-Hermitian metasurface platforms can serve as an interesting framework for the investigation of rich non-Hermitian polarisation dynamics around chiral EPs.

关键词： structure chiral integer

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Electric Vehicle Management and Tracking using AI and IoT

Electric Vehicle Management and Tracking using AI and IoT

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2023 International Conference on Innovative Computing, Intelligent Communication and Smart electrical Systems, ICSES 2023

作者： Packialatha, A. Vadlamudi, Bindu Sai Thrinath, B.V. Sundar Ganesh, C.S. Ishrat, Mohammad Bhaskar, Archana Vels Institute of Science Technology & Advanced Studies Department of Computer Science and Engineering Tamil Nadu Chennai600117 India Velagapudi Ramakrishna Siddhartha Engineering College Department of Electrical and Electronics Engineering Andhra Pradesh Vijayawada520007 India Mohan Babu University School of Engineering Department of Electrical and Electronics Engineering Andhra Pradesh Tirupati517102 India Karpagam College of Engineering Department of Electrical and Electronics Engineering Tamil Nadu Coimbatore641032 India KoneruLakshmaiah Education Foundation Vaddeswaram Department of Computer Science and Engineering Andhra Pradesh Guntur522502 India REVA University School of CSA Karnataka Bengaluru560064 India

ISBN: (纸本)9798350319200

Technology has come a long way, and now many problems can be solved with the help of new developments in the field. With this technology, we can finally put an end to the suffocating effects of air pollution. Air pollution is on the rise due to the widespread use of automobiles powered by internal combustion engines. By replacing internal combustion engines with electric motors, we can end our reliance on polluting fossil fuels and ensure future generations have access to clean air. Electric vehicles are similar to machines in that they are powered by a rechargeable battery. To what extent an EV functions depends on its battery. Voltage, current, and temperature are the indicators of battery health. These factors are used to calculate the state of charge (SOC). These results are tracked by a BMS (Battery Management System). This article details how to create an EV monitoring system that makes use of AI and IoT to collect data from the vehicle's battery and send it to the cloud. Using a cloud-based smartphone app, we can track how well the battery is doing. © 2023 IEEE.

关键词： AI and the cloud are all components of this project battery monitoring current sensor Internet of Things NodeMCU temperature sensor voltage sensor

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An Effective Personality Recognition Model Design using Generative Artificial Intelligence based Learning Principles 1

An Effective Personality Recognition Model Design using Gene...

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1st IEEE International Conference on Computing and Data Science, ICCDS 2024

作者： Jenifa, G. Padmapriya, K. Sevanthi, P. Karthika, K. Pandi, V. Samuthira Arumugam, Deepak Andhra Pradesh India RMD Engineering College Department of Computer Science and Engineering Chennai India Department of AI & DS Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Civil Engineering Tamil Nadu Chennai India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350365337

Personality recognition from textual data plays a crucial role in various applications such as social media analysis, recommendation systems, and personalized marketing. In this study, we propose an effective personality recognition model leveraging Generative Artificial Intelligence based Learning Principles (GAILP), which combines DenseNet feature extraction from user profile images with text-based features extracted using Natural Language Processing (NLP) techniques. The model is implemented in Python, utilizing popular libraries such as TensorFlow, Scikit-learn, and NLTK. We evaluate the performance of the proposed model on a Myers-Briggs Personality Type Dataset obtained from Kaggle, containing self-reported MBTI types and associated textual data. Experimental results demonstrate the effectiveness of the GAILP model, achieving an accuracy of over 97% in personality recognition tasks. Our findings highlight the importance of integrating visual and textual cues for accurate personality recognition and underscore the potential of GAILP-based approaches in this domain. © 2024 IEEE.

关键词： Support vector machines

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Monolithically Integrated 940 nm VCSELs on Bulk Ge Substrates

Monolithically Integrated 940 nm VCSELs on Bulk Ge Substrate...

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2024 IEEE Silicon Photonics Conference, SiPhotonics 2024

作者： Wan, Zeyu Yang, Yun-Cheng Chen, Wei-Hsin Chiu, Chih-Chuan Zhao, Yunlong Feifel, Markus Chrostowski, Lukas Lackner, David Wu, Chao-Hsin Xia, Guangrui The University of British Columbia Department Of Materials Engineering Vancouver Canada Fraunhofer Institute For Solar Energy Systems Heidenhofstrasse Freiburg Germany The University of British Columbia Department of Electrical and Computer Engineering Vancouver Canada National Taiwan University Graduate Institute Of Electronics Engineering Taipei Taiwan National Taiwan University Graduate Institute Of Photonics And Optoelectronics Taipei Taiwan National Taiwan University Graduate School Of Advanced Technology Taipei Taiwan

ISBN: (纸本)9798350394047

This work successfully developed an independent Ge-VCSEL epitaxy and fabrication technology route. This is the second successful Ge-VCSEL technology reported worldwide, and the first Ge-VCSEL technology with key details disclosed, including Ge substrate specification, transition layer structure and composition, and fabrication process etc. Compared with the GaAs counterparts, after epitaxy optimization, the Ge-VCSEL wafer has a 40% lower surface root-mean square roughness and 72% lower average bow-warp. Additionally, the Ge-VCSEL has a 10% lower threshold current density and a 19% higher maximum slope efficiency than the GaAs-VCSEL. © 2024 IEEE.

关键词： Surface emitting lasers

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Enhanced ferromagnetism in an artificially stretched lattice in quasi-two-dimensional Cr2Ge2Te6

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Physical Review B 2025年第2期111卷 L020402-L020402页

作者： Hiroshi Idzuchi Andres E. Llacsahuanga Allcca Anh Khoa Augustin Lu Mitsuhiro Saito Subhadip Das John F. Ribeiro Michel Houssa Ruishen Meng Kazutoshi Inoue WPI Advanced Institute for Materials Research (AIMR) Tohoku University Sendai 980-8577 Japan Center for Science and Innovation in Spintronics (CSIS) Tohoku University Sendai 980-8577 Japan Department of Physics and Astronomy Purdue University West Lafayette Indiana 47907 USA Department of Physics The University of Tokyo Bunkyo-ku Tokyo 113-0033 Japan Birck Nanotechnology Center and Purdue Quantum Science and Engineering Institute Purdue University West Lafayette Indiana 47907 USA Mathematics for Advanced Materials Open Innovation Laboratory National Institute of Advanced Industrial Science and Technology Sendai 980-8577 Japan Research Center for Materials Nanoarchitectonics National Institute for Materials Science Tsukuba 305-0044 Japan Institute of Engineering Innovation The University of Tokyo Tokyo 113-8656 Japan Institute of Physics and Astronomy and Villum Centers for Dirac Materials and for Hybrid Quantum Materials and Devices Aarhus University 8000 Aarhus-C Denmark School of Electrical and Computer Engineering Purdue University West Lafayette Indiana 47907 USA Department of Physics and Astronomy Katholieke Universiteit Leuven 3001 Leuven Belgium

Crystal lattice is key in understanding magnetic interactions between atoms in solids. As the effective control of the lattice via tensile stress is limited, there are only a few demonstrations of controlling magnetic properties by expanding the lattice. This study reveals a clear correlation between enhanced magnetism, where Curie temperature (TC) is doubled from ∼60 to ∼120 K, and lattice expansion in prototypical van der Waals magnet Cr2Ge2Te6 with sputtered dielectric overlayers NiO and MgO. We ascribe the mechanism of this TC increase to a change in exchange interactions induced by strain, studied by several experimental probes and computational approaches.

关键词： Van der Waals forces

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Multi-GHz Zeptojoule Computing Using Emerging Adiabatic Superconductor Circuits

Multi-GHz Zeptojoule Computing Using Emerging Adiabatic Supe...

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IEEE computer Society Annual Symposium on VLSI

作者： Christopher L. Ayala Nobuyuki Yoshikawa Yu Hoshika Yuto Omori Institute of Advanced Sciences Yokohama National University Yokohama Japan Department of Electrical & Computer Engineering Yokohama National University Yokohama Japan

ISBN: (数字)9798350354119

ISBN: (纸本)9798350354126

The adiabatic quantum-flux-parametron (AQFP) is the basis of an emerging computing technology that shows tremendous promise towards building extremely energy efficient computing systems with bit energies approaching sub-zeptojoule levels at clock frequencies as high as 10 GHz. We review some of the latest AQFP circuit demonstrations including a RISC-like microprocessor called MANA and a SHA-3 permutation unit breakout chip. We briefly explore other computing possibilities for AQFP and hybrid AQFP systems and present implementation challenges for AQFP technology such as limited integration den-sity and signal integrity to name a few. Finally, we present possible solutions to these challenges, and summarize the prospects of building practical, feature-rich AQFP chips that are comparable to the modern CMOS circuits used today.

关键词： Quantum computing Superconducting logic circuits Reviews Microprocessors Buildings Very large scale integration Logic

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Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks

arXiv

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arXiv 2023年

作者： Quan, Chen Geng, Baocheng Han, Yunghsiang S. Varshney, Pramod K. Department of Electrical Engineering and Computer Science Syracuse University United States Department of Computer Science University of Alabama at Birmingham United States Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China China

This paper proposes a belief-updating scheme in a human-machine collaborative decision-making network to combat Byzantine attacks. A hierarchical framework is used to realize the network where local decisions from physical sensors act as reference decisions to improve the quality of human sensor decisions. During the decision-making process, the belief that each physical sensor is malicious is updated. The case when humans have side information available is investigated, and its impact is analyzed. Simulation results substantiate that the proposed scheme can significantly improve the quality of human sensor decisions, even when most physical sensors are malicious. Moreover, the performance of the proposed method does not necessarily depend on the knowledge of the actual fraction of malicious physical sensors. Consequently, the proposed scheme can effectively defend against Byzantine attacks and improve the quality of human sensors' decisions so that the performance of the human-machine collaborative system is enhanced. © 2023, CC BY-NC-SA.

关键词： Decision making

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A Bayesian Approach to Online Planning

arXiv

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arXiv 2024年

作者： Greshler, Nir Ben Eli, David Rabinovitz, Carmel Guetta, Gabi Gispan, Liran Zohar, Guy Tamar, Aviv General Motors Advanced Technical Center Israel Department of Electrical and Computer Engineering Tech-nion - Israel Institute of Technology Haifa Israel

The combination of Monte Carlo tree search and neural networks has revolutionized online planning. As neural network approximations are often imperfect, we ask whether uncertainty estimates about the network outputs could be used to improve planning. We develop a Bayesian planning approach that facilitates such uncertainty quantification, inspired by classical ideas from the meta-reasoning literature. We propose a Thompson sampling based algorithm for searching the tree of possible actions, for which we prove the first (to our knowledge) finite time Bayesian regret bound, and propose an efficient implementation for a restricted family of posterior distributions. In addition we propose a variant of the Bayes-UCB method applied to trees. Empirically, we demonstrate that on the ProcGen Maze and Leaper environments, when the uncertainty estimates are accurate but the neural network output is inaccurate, our Bayesian approach searches the tree much more effectively. In addition, we investigate whether popular uncertainty estimation methods are accurate enough to yield significant gains in planning. Our code is available at: https://***/nirgreshler/ bayesian-online-planning. © 2024, CC BY.

关键词： Uncertainty analysis

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Sound Tagging in Infant-centric Home Soundscapes

arXiv

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arXiv 2024年

作者： Khan, Mohammad Nur Hossain Li, Jialu McElwain, Nancy L. Hasegawa-Johnson, Mark Islam, Bashima Department of Electrical and Computer Engineering Worcester Polytechnic Institute United States Department of Electrical and Computer Engineering University of Illinois United States Department of Human Development and Family Studies University of Illinois United States Beckman Institute for Advanced Science and Technology University of Illinois United States

Certain environmental noises have been associated with negative developmental outcomes for infants and young children. Though classifying or tagging sound events in a domestic environment is an active research area, previous studies focused on data collected from a non-stationary microphone placed in the environment or from the perspective of adults. Further, many of these works ignore infants or young children in the environment or have data collected from only a single family where noise from the fixed sound source can be moderate at the infant’s position or vice versa. Thus, despite the recent success of large pretrained models for noise event detection, the performance of these models on infant-centric noise soundscapes in the home is yet to be explored. To bridge this gap, we have collected and labeled noises in home soundscapes from 22 families in an unobtrusive manner, where the data are collected through an infant-worn recording device. In this paper, we explore the performance of a large pre-trained model (Audio Spectrogram Transformer [AST]) on our noise-conditioned infant-centric environmental data as well as publicly available home environmental datasets. Utilizing different training strategies such as resampling, utilizing public datasets, mixing public and infant-centric training sets, and data augmentation using noise and masking, we evaluate the performance of a large pre-trained model on sparse and imbalanced infant-centric data. Our results show that fine-tuning the large pre-trained model by combining our collected dataset with public datasets increases the F1-score from 0.11 (public datasets) and 0.76 (collected datasets) to 0.84 (combined datasets) and Cohen’s Kappa from 0.013 (public datasets) and 0.77 (collected datasets) to 0.83 (combined datasets) compared to only training with public or collected datasets, respectively. © 2024, CC BY.

关键词： Large datasets

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Embodied Visuomotor Representation

arXiv

引用

arXiv 2024年

作者： Burner, Levi Fermüller, Cornelia Aloimonos, Yiannis Department of Electrical and Computer Engineering University of Maryland College Park United States Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science University of Maryland College Park United States

Suppose you are at your desk looking at some objects on it. You don't know the precise distance from your eye to any particular object in meters. However, you can immediately reach out and touch any of them. Instead of the meter, your knowledge of distance is encoded in unknown but embodied units of action. In contrast, standard approaches in robotics assume calibration to the meter, so that separated vision and control processes can be interfaced. Consequently, robots are precisely manufactured and calibrated, resulting in expensive systems available in only a few configurations. In response, we propose Embodied Visuomotor Representation, a framework that allows distance to be measured by a robot's own actions and thus minimizes dependence on calibrated 3D sensors and physical models. Using it, we demonstrate that a robot without knowledge of its size, environmental scale, or its own strength can become capable of touching and clearing obstacles after several seconds of operation. Similarly, we demonstrate in simulation that an agent, without knowledge of its mass or strength, can jump a gap of unknown size after performing a few test oscillations. These experiments parallel bee and gerbil behavior, respectively. Copyright © 2024, The Authors. All rights reserved.

关键词： Robots

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