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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Zhang, Zhifeng Zhao, Haoqi Wu, Shuang Wu, Tianwei Qiao, Xingdu Gao, Zihe Agarwal, Ritesh Longhi, Stefano Litchinitser, Natalia M. Ge, Li Feng, Liang Department of Materials Science and Engineering University of Pennsylvania PhiladelphiaPA19104 United States Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States Dipartimento di Fisica Politecmco di Milano Piazza L. da Vinci 32 MilanoI-20133 Italy Institute de Fisica Interdisciplinar y Sistemas Complejos Palma deMallorca Spain Department of Electrical and Computer Engineering Department of Physics Duke University DurhamNC27708 United States Department of Engineering Science and Physics College of Staten Island CUNY Staten IslandNY10314 United States The Graduate Center CUNY New YorkNY10016 United States

ISBN: (纸本)9781957171258

Despite the rapid development of photonic devices and systems, on-chip information technologies are mostly limited to two-level systems due to the lack of sufficient reconfigurability. Here, we demonstrate a high-dimensional, spin-orbit microlaser for chip-scale flexible generation and manipulation of arbitrary four-level states. Two microcavities coupled through a non-Hermitian synthetic gauge field are designed to emit spin-orbit-coupled states of light with six degrees of freedom (DOFs). The vectorial state of the emitted laser beam in free space can be mapped on a Bloch hypersphere defining an SU(4) symmetry, demonstrating dynamical generation and reconfiguration of high-dimensional superposition states with high fidelity. © Optica Publishing Group 2023 © 2023 The Author(s)

关键词： Photonic devices

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STATISTICAL INFERENCE FOR GAUSSIAN WHITTLE-MATÉRN FIELDS ON METRIC GRAPHS

arXiv

引用

arXiv 2023年

作者： Bolin, David Simas, Alexandre B. Wallin, Jonas Statistics Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Saudi Arabia Department of Statistics Lund University Sweden

Whittle-Matérn fields are a recently introduced class of Gaussian processes on metric graphs, which are specified as solutions to a fractional-order stochastic differential equation. Unlike earlier covariance-based approaches for specifying Gaussian fields on metric graphs, the Whittle-Matérn fields are well-defined for any compact metric graph and can provide Gaussian processes with differentiable sample paths. We derive the main statistical properties of the model class, particularly the consistency and asymptotic normality of maximum likelihood estimators of model parameters and the necessary and sufficient conditions for asymptotic optimality properties of linear prediction based on the model with misspecified parameters. The covariance function of the Whittle-Matérn fields is generally unavailable in closed form, and they have therefore been challenging to use for statistical inference. However, we show that for specific values of the fractional exponent, when the fields have Markov properties, likelihood-based inference and spatial prediction can be performed exactly and computationally efficiently. This facilitates using the Whittle-Matérn fields in statistical applications involving big datasets without the need for any approximations. The methods are illustrated via an application to modeling of traffic data, where allowing for differentiable processes dramatically improves the *** Codes Primary 62M30, secondary 62M05, 60G60, 35R02 Copyright © 2023, The Authors. All rights reserved.

关键词： Gaussian distribution

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A Dual-channel Converter with a Positive Output and a Negative Voltage Output

A Dual-channel Converter with a Positive Output and a Negati...

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International Symposium on computer, Consumer and Control (IS3C)

作者： Yau Yeu-Torng Luu Thanh-Phu Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

In this paper, a dual-channel converter with a positive output and negative voltage output is proposed. It integrates a positive voltage output converter and a negative voltage output converter, and shares the same switches. The number of active components can be reduced. In addition, the circuit can achieve dual output voltage control with a single controller and PWM drive signal by appropriately designing the ratio of the number of windings of the coupling inductor. A regulated positive voltage output and negative voltage output can be achieved.

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Merging UAV-Derived Metrics with Crop Physiology to Estimate Sunflower Yield

Merging UAV-Derived Metrics with Crop Physiology to Estimate...

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Frontiers of Information Technology (FIT)

作者： Usama Athar Muhammad Ali Zuhair Zafar Haris Khurshid Karsten Berns Muhammad Moazam Fraz School of Electrical Engineering and Computer Science National University of Sciences and Technology (NUST) Islamabad Pakistan Oilseeds Research Program National Agricultural Research Center (NARC) Islamabad Pakistan Department of Computer Science Rheinland-Pfälzische Technische Universität Kaiserslautern Germany

ISBN: (数字)9798331510503

ISBN: (纸本)9798331510510

Accurate and timely estimation of sunflower yield is crucial for agricultural researchers, farmers, and breeders. Use of Unmanned Aerial Vehicles (UAVs) with multi-spectral sensors has been adopted to meet the need for precise sunflower seed yield predictions. This study proposes a combined approach that integrates 12 remotely sensed vegetation indices (VIs) with 3 key physiological traits - fresh weight, dry weight, and moisture factor - to capture the complex dynamics affecting sunflower crop. Predictive performance of VIs alone and in combination with physiological traits is evaluated using Root Mean Squared Error (RMSE). Our results show that incorporating these two sets of features, along with their temporal, spectral, and statistical characteristics, leads to consistent improvements in sunflower seed yield estimation that can reduce the root mean squared error to as low as 0.4075 ( $\text{kg} / \text{plot}$ ).

关键词： Vegetation mapping Moisture Autonomous aerial vehicles Physiology Seeds (agriculture) Sensors Yield estimation Reliability Vehicle dynamics Remote sensing

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Interferometry Among Strongly Driven Quasiparticles with Distinct Dynamical and Geometrical Phases

Interferometry Among Strongly Driven Quasiparticles with Dis...

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

作者： O'Hara, Seamus Costello, Joe Tian, Qi Wu, Qile West, Ken Pfeiffer, Loren Sherwin, Mark Wu, Liang Department of Physics Institute of Terahertz Science and Technology University of California Santa Barbara Santa BarbaraCA93106 United States Intelligence Community Post-Doctoral Research Fellowship Program PhiladelphiaPA19104 United States Department of Physics University of Pennsylvania PhiladelphiaPA19104 United States Department of Electrical and Computer Engineering Princeton University PrincetonNJ08542 United States

ISBN: (纸本)9781957171395

In this proceeding, we present polarization data of sidebands emitted from strongly driven quasiparticles, demonstrate the dependence of these data on various parameters of the external driving field, and describe the data using an analytical expression, dependent on driving field parameters and the effective Hamiltonian of the system. We propose using this method on spin-momentum locked systems, such as altermagnets, to observe and reconstruct sidebands which are influenced by the topology of individual bands. © Optica Publishing Group 2024, © 2024 The Author(s)

关键词： Hamiltonians

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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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Conference on Lasers and Electro-Optics (CLEO)

作者： Hongyi Sun Chuanyu Lian Francis Vásquez-Aza Yi-Siou Huang Steven A. Vitale Ichiro Takeuchi Juejun Hu Nathan Youngblood Georges Pavlidis Carlos A. Ríos Ocampo Department-of Materials Science & Engineering University of Maryland College Park MD USA Institute for Research in Electronics and Applied Physics University of Maryland College Park MD USA Department of Mechanical Engineering University of Connecticut Storrs CT USA Advanced Materials and Microsystems Group MIT Lincoln Laboratory Lexington MA USA Department of Physics Quantum Materials Center University of Maryland College Park MD USA Department of Materials Science & Engineering MIT Cambridge MA USA Electrical & Computer Engineering Department The University of Pittsburgh Pittsburgh PA USA

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... 详细信息

ISBN: (纸本)9798350369311

关键词： Phase change materials Temperature Optical switches Optical device fabrication Control systems Metasurfaces Optical materials Tuning Optical pulses Switching circuits

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Frequency Multiplexed Emission from Cavity-Enhanced T Centers

Frequency Multiplexed Emission from Cavity-Enhanced T Center...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Lukasz Komza Xueyue Zhang Yu-Lung Tang Hanbin Song Alp Sipahigil Department of Physics University of California Berkeley Berkeley California USA Materials Sciences Division Lawrence Berkeley National Laboratory Berkeley California USA Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley California USA Department of Materials Science and Engineering University of California Berkeley Berkeley California USA

To enable efficient spin-photon interfaces with T centers, cavity-enhanced emission is essential. We build an integrated photonics platform demonstrating cavity-enhanced emission from multiple T centers across distinc... 详细信息

ISBN: (纸本)9798350369311

关键词： Frequency division multiplexing Electro-optical waveguides Photonics

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Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse

arXiv

引用

arXiv 2024年

作者： Liu, Guangyuan Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Jamalipour, Abbas Mao, Shiwen Kim, Dong In The College of Computing and Data Science The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The College of Computing and Data Science 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 Auburn University Auburn United States The School of Electrical and Computer Engineering University of Sydney Australia The Department of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of

In the digital transformation era, Metaverse offers a fusion of virtual reality (VR), augmented reality (AR), and web technologies to create immersive digital experiences. However, the evolution of the Metaverse is slowed down by the challenges of content creation, scalability, and dynamic user interaction. Our study investigates an integration of Mixture of Experts (MoE) models with Generative Artificial Intelligence (GAI) for mobile edge computing to revolutionize content creation and interaction in the Metaverse. Specifically, we harness an MoE model's ability to efficiently manage complex data and complex tasks by dynamically selecting the most relevant experts running various sub-models to enhance the capabilities of GAI. We then present a novel framework that improves video content generation quality and consistency, and demonstrate its application through case studies. Our findings underscore the efficacy of MoE and GAI integration to redefine virtual experiences by offering a scalable, efficient pathway to harvest the Metaverse's full potential. © 2024, CC BY.

关键词： Augmented reality

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electrical Manipulation of Noncollinear Antiferromagnetic State via Orbital Hall Effect

Electrical Manipulation of Noncollinear Antiferromagnetic St...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Hang Xie Nan Zhang Yuteng Ma Xin Chen Lin Ke Yihong Wu Department of Electrical and Computer Engineering National University of Singapore Singapore Institute of Materials Research and Engineeringm Agency for Science Technology and Research Singapore National University of Singapore (Chong Qing) Research Institute China

ISBN: (数字)9798350362213

ISBN: (纸本)9798350362220

Orbital Hall effect can induce spin-orbit torque in ferromagnetic heterostructures with similar symmetry as spin Hall effect. Due to its weak dependence on spin-orbit coupling, even light metals like Cr could exhibit robust orbital Hall conductivity and generate comparable spin-orbit torque as heavy metals. In view of this, we study the electrical control of antiferromagnetic state in Mn3Sn/Cr and ferromagnetic state in CoFeB/Cr. We find that Cr can induce efficient switching in both Mn3Sn and CoFeB despite its negligible spin Hall angle. However, from terahertz emission and magnetoresistance measurements, the inverse process - spin-to-charge conversion in Cr/CoFeB is much less efficient than the heavy metal-based structures. These results suggest that the observed switching in Mn3Sn/Cr and CoFeB/Cr is mainly contributed by orbital Hall effect rather than spin Hall effect.

关键词： Couplings Torque Metals Switches Extraterrestrial measurements Orbits Hall effect

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electrical Characteristics of in situ Mg-doped β-Ga2O3 Current-Blocking Layer for Vertical Devices

arXiv

引用

arXiv 2023年

作者： Saha, Sudipto Meng, Lingyu Bhuiyan, A.F.M. Anhar Uddin Sharma, Ankit Saha, Chinmoy Nath Zhao, Hongping Singisetti, Uttam Electrical Engineering Department University at Buffalo BuffaloNY14260 United States Department of Electrical and Computer Engineering The Ohio State University ColumbusOH43016 United States Department of Materials Science and Engineering The Ohio State University ColumbusOH43016 United States

The lack of p-type doping has impeded the development of vertical gallium oxide (Ga2O3) devices. Current blocking layers (CBL) using implanted deep acceptors has been used to demonstrate vertical devices. This paper presents the first demonstration of in situ Mg-doped β- Ga2O3 CBLs grown using metalorganic chemical vapor deposition. Device structures were designed with in-situ Mg doped layers with varied targeted Mg doping concentrations, which were calibrated by quantitative secondary ion mass spectroscopy (SIMS). The effectiveness of the CBL is characterized using temperature dependent current-voltage measurements using n-Mg-doped-n structures, providing crucial insight into the underlying mechanisms. To further validate the experimental results, a TCAD simulation is performed and the electrically active effective doping is found to be dependent on the Mg-doping density, offering a new perspective on the optimization of CBL performance. Breakdown measurements show a 3.4 MV/cm field strength. This study represents a significant step forward in the development of Ga2O3-based devices and paves the way for future advancements in this exciting field. © 2023, CC BY-NC-SA.

关键词： Gallium compounds

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