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Conference on Lasers and Electro-Optics (CLEO)

作者： Nicholas A. Nobile Chuanyu Lian Hongyi Sun Yi-Siou Huang Brian Mills Cosmin Constantin Popescu Dennis Callahan Juejun Hu Carlos A. Ríos Ocampo Nathan Youngblood Electrical & Computer Engineering Department University of Pittsburgh Pittsburgh PA USA 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 Materials Science & Engineering Massachusetts Institute of Technology Cambridge MA USA Draper Scholar Program The Charles Stark Draper Laboratory Inc Cambridge MA USA The Charles Stark Draper Laboratory Inc Cambridge MA USA

Sb 2 Se 3 is used to switch between broadband transparency and enhanced index contrast in two device types leveraging Bragg gratings for tunable stop-and pass-band functionalities. Experimental results highlight fabr... 详细信息

ISBN: (纸本)9798350369311

关键词： Bragg gratings Waveguide transitions Phase change materials Optical filters Optical switches Refractive index Fabry-Perot Indexes Passband Optical waveguides

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Improved Synaptic Characteristics in Bilayer Memristor by Post-Oxide Deposition Annealing for Pattern Recognition

Improved Synaptic Characteristics in Bilayer Memristor by Po...

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2022 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2022

作者： Kumar, Dayanand Huang, Yi-Rong Pal, Pratibha Saleem, Aftab Singh, Amit Lee, Hoonkyung Wang, Yeong-Her Tseng, Tseung Yuen National Cheng-Kung University Institute of Microelectronics Department of Electrical Engineering Tainan701 Taiwan Institute of Electronics National Yang Ming Chiao Tung University Hsinchu30010 Taiwan National Cheng Kung University Department of Materials Science and Engineering Tainan70101 Taiwan National Yang Ming Chiao Tung University Department of Electrical Engineering and Computer Science 30010 Taiwan Research Center for Applied Sciences Academia Sinica Taipei11529 Taiwan Konkuk University Department of Physics Seoul05029 Korea Republic of

ISBN: (纸本)9781665409230

We present highly stable bilayer HfO2/TiO2 memristive synapse for neuromorphic computing applications. The memristive synapse shows repetitive 220 Long-term potentiation and depression cycles without any breakdown with total number of 220k pulses. The nonlinear values of potentiation and depression are 2.52 and -2.63, respectively with 1000 conductance pulses (500 pulses of potentiation and 500 pulses of depression). The experimental data of potentiation and depression was used to train HNN for pattern recognition of 28×28 pixels comprising 784 synapses. In 16 iterations, the HNN can be successfully trained to identify the input image with a training accuracy of about 97%. Moreover, the device has good retention (104 s) at 120 °C. These excellent synaptic characteristics of annealed device allows it for artificial intelligence systems in near future. © 2022 IEEE.

关键词： Hafnium oxides

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Synthetic frequency dimension state coupling in modulated LNOI ring cavity devices

Synthetic frequency dimension state coupling in modulated LN...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Balčytis, Armandas Dinh, Xuan Hiep Ozawa, Tomoki Ota, Yasutomo Baba, Toshihiko Iwamoto, Satoshi Mitchell, Arnan Nguyen, Thach G. Integrated Photonics and Applications Centre RMIT University MelbourneVIC3000 Australia Advanced Institute for Materials Research Tohoku University Sendai9808577 Japan Department of Applied Physics and PhysicoInformatics Keio University Yokohama2238522 Japan Department of Electrical and Computer Engineering Yokohama National University 795 Tokiwadai Hodogayaku Yokohama2408501 Japan Research Center for Advanced Science and Technology The University of Tokyo 461 Komaba Meguroku Tokyo1538904 Japan

ISBN: (纸本)9781957171258

We created a modulatorequipped thinfilm lithium niobate integrated ring resonator simulating a synthetic frequency dimension tightbinding model. It produces frequency states spaced over a 600 GHz bandwidth. Reconfigurable coupling enables simulation of disparate twodimensional interactions. © Optica Publishing Group 2023 © 2023 The Author(s)

关键词： Niobium compounds

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Manipulating optical field of a microcavity by tailoring phase space

Manipulating optical field of a microcavity by tailoring pha...

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CLEO: Science and Innovations, S and I 2022

作者： Qian, Yan-Jun Liu, Hui Cao, Qi-Tao Kullig, Julius Rong, Kexiu Qiu, Cheng-Wei Wiersig, Jan Gong, Qihuang Chen, Jianjun Xiao, Yun-Feng State Key Laboratory for Mesoscopic Physics and Frontiers Science Center for Nano-optoelectronics School of Physics Peking University Beijing100871 China Institute for Physics Otto von Guericke University Magdeburg MagdeburgD-39016 Germany Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore117583 Singapore Collaborative Innovation Center of Extreme Optics Shanxi University Taiyuan030006 China Department of Physics and Applied Optics Beijing Area Major Laboratory Beijing Normal University Beijing100875 China

We propose to manipulate the optical mode of a microcavity by tailoring its phase space, through which the photon transport can be precisely controlled, resulting in on-demand engineering of far-field emission pattern... 详细信息

ISBN: (纸本)9781557528209

关键词： Microcavities

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Measurement of Synthetic-Dimension Band Structures in Silicon Coupled Ring Resonators

Measurement of Synthetic-Dimension Band Structures in Silico...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Ruming Zhang Liucun Li Mikiya Kamata Toshihiko Baba Tomoki Ozawa Yasutomo Ota Satoshi Iwamoto Research Center for Advanced Science and Technology The University of Tokyo Tokyo Japan Department of Electrical and Computer Engineering Yokohama National University Yokohama Japan Advanced Institute for Materials Research Tohoku University Sendai Japan Department of Applied Physics and Physico-Informatics Keio University Yokohama Japan

We fabricated integrated silicon coupled-ring resonators and measured photonic band structures for synthetic frequency lattices with different configurations. A phase difference between two modulation signals introduc... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Band structures Phase modulation Resonant frequency Measurement by laser beam Ring lasers Silicon Frequency measurement

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Quantifying Efficiency of Remote Excitation for Surface Enhanced Raman Spectroscopy in Molecular Junctions

arXiv

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arXiv 2023年

作者： Liao, Shusen Zhu, Yunxuan Ye, Qian Sanders, Stephen Yang, Jiawei Alabastri, Alessandro Natelson, Douglas Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Department of Physics and Astronomy Rice University HoustonTX77005 United States Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Department of Materials Science and NanoEngineering Rice University HoustonTX77005 United States

Surface-enhanced Raman spectroscopy (SERS) is enabled by local surface plasmon resonances (LSPRs) in metallic nanogaps. When SERS is excited by direct illumination of the nanogap, the background heating of lattice and electrons can prevent further manipulation of the molecules. To overcome this issue, we report SERS in electromigrated gold molecular junctions excited remotely: surface plasmon polaritons (SPPs) are excited at nearby gratings, propagate to the junction, and couple to the local nanogap plasmon modes. Like direct excitation, remote excitation of the nanogap can generate both SERS emission and an open-circuit photovoltage (OCPV). We compare SERS intensity and OCPV in both direct and remote illumination configurations. SERS spectra obtained by remote excitation are much more stable than those obtained through direct excitation when photon count rates are comparable. By statistical analysis of 33 devices, coupling efficiency of remote excitation is calculated to be around 10%, consistent with the simulated energy flow. Copyright © 2023, The Authors. All rights reserved.

关键词： Raman spectroscopy

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Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations 1

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Challenge on Brain Tumor Segmentation, BraTS 2023, International Challenge on Cross-Modality Domain Adaptation for Medical Image Segmentation, CrossMoDA 2023, held in conjunction with the Medical Image Computing for computer Assisted Intervention Conference, MICCAI 2023

作者： Amod, Alyssa R. Smith, Alexandra Joubert, Pearly Raymond, Confidence Zhang, Dong Anazodo, Udunna C. Motchon, Dodzi Mutsvangwa, Tinashe E. M. Quetin, Sébastien Brain Behaviour Unit Neuroscience Institute University of Cape Town Cape Town South Africa ShockLab Department of Mathematics and Applied Mathematics University of Cape Town Cape Town South Africa Applied Mathematics Division Stellenbosch University Stellenbosch South Africa Division of Biomedical Engineering Neuroscience Institute University of Cape Town Cape Town South Africa Medical Artificial Intelligence Lab Lagos Nigeria Lawson Health Research Institute LondonON Canada Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Montreal Neurological Institute McGill University Montréal Canada Department of Medicine and Department of Clinical and Radiation Oncology University of Cape Town Cape Town South Africa Medical Physics Unit Department of Oncology McGill University Montréal Canada Montreal Institute for Learning Algorithms Montréal Canada

ISBN: (数字)9783031761638

ISBN: (纸本)9783031761621

A critical challenge for tumour segmentation models is the ability to adapt to diverse clinical settings, particularly when applied to poor quality neuroimaging data. The uncertainty surrounding this adaptation stems from the lack of representative datasets, leaving top-performing models without exposure to common artefacts found in MRI data throughout Sub-Saharan Africa (SSA). We replicated a framework that secured the 2nd position in the 2022 BraTS competition to investigate the impact of dataset composition on model performance and pursued four distinct approaches through training a model with various combinations of the BraTS-Africa and BraTS-Adult Glioma datasets. Notably, training on the smaller low-quality BraTS-Africa dataset alone yielded subpar results, and training on the larger high-quality BraTS-Adult Glioma dataset alone struggled to delineate oedematous tissue in the low-quality validation set. The most promising approach involved pre-training a model on high-quality neuroimages and then fine-tuning it on the smaller low-quality dataset. This approach took second place in the MICCAI BraTS Africa global challenge external testing phase. These findings underscore the significance of larger sample sizes and broad exposure to data in improving segmentation performance. Furthermore, we demonstrated there is potential for improving such models by fine-tuning them with a wider range of data locally. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Magnetic resonance imaging

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Raspberry Pi-Based Monitoring System for Grid-Connected PV Systems using Deep Learning Technique*

Raspberry Pi-Based Monitoring System for Grid-Connected PV S...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Zahra Yahyaoui Wajdi Saadaoui Mansour Hajji Majdi Mansouri Mohamed Nounou Kais Bouzrara Research Unit Advanced Materials and Nanotechnologies Higher Institute of Applied Sciences and Technology of Kasserine Kairouan University Tunisia Department of Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir Tunisia

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The evolution of embedded systems has demonstrated their reliability as a solution for monitoring and controlling industrial systems, particularly in renewable energy conversion systems like photovoltaic (PV) energy. The increasing adoption of PV systems highlights the critical need for effective fault diagnosis to ensure their reliable operation. In this paper, we present a novel fault diagnosis approach utilizing Long Short-Term Memory (LSTM) networks optimized through Bayesian optimization techniques. Our methodology is implemented on a Raspberry Pi platform, demonstrating the feasibility of deploying sophisticated fault diagnosis algorithms in resource-constrained environments. Through extensive experiments, we demonstrate the effectiveness of our approach to accurately diagnose faults in grid-connected photovoltaic systems, thereby improving the reliability and efficiency of integrated environmental monitoring *** obtained results highlight the potential of combining advanced deep learning techniques with embedded systems to address complex diagnostic challenges, as demonstrated by achieving a 100% accuracy rate.

关键词： Fault diagnosis Deep learning Photovoltaic systems Embedded systems Accuracy Economic indicators Bayes methods Environmental monitoring Long short term memory Optimization

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Metasurface Smart Glass for Object Recognition

arXiv

引用

arXiv 2022年

作者： Tsai, Cheng-Chia Huang, Xiaoyan Wu, Zhicheng Yu, Zongfu Yu, Nanfang Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States Department of Electrical and Computer Engineering University of Wisconsin-Madison MadisonWI53706 United States

Recent years have seen a considerable surge of research on developing heuristic approaches to realize analog computing using physical waves. Among these, neuromorphic computing using light waves is envisioned to feature performance metrics such as computational speed and energy efficiency exceeding those of conventional digital techniques by many orders of magnitude. Yet, neuromorphic computing based on photonics remains a challenge due to the difficulty of training and manufacturing sophisticated photonic structures to support neural networks with adequate expressive power. Here, we realize a diffractive optical neural network (ONN) based on metasurfaces that can recognize objects by directly processing light waves scattered from the objects. Metasurfaces composed of a two-dimensional array of millions of meta-units can realize precise control of optical wavefront with subwavelength resolution;thus, when used as constitutive layers of an ONN, they can provide exceptionally high expressive power. We experimentally demonstrate ONNs based on single-layered metasurfaces that modulate the phase and polarization over optical wavefront for recognizing optically-coherent binary objects, including hand-written digits and English alphabetic letters. We further demonstrate, in simulation, ONNs based on metasurface doublets for human facial verification. The advantageous traits of metasurface-based ONNs, including ultra-compact form factors, zero power consumption, ultra-fast and parallel data processing capabilities, and physics-guaranteed data security, make them suitable as "edge" perception devices that can transform the future of image collection and analysis. © 2022, CC BY.

关键词： Energy efficiency

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Tracking the mid-infrared fine structure of quasi-1D excitons controlled by magnetic order

Tracking the mid-infrared fine structure of quasi-1D exciton...

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International Conference on Infrared and Millimeter Waves

作者： M. Liebich M. Florian N. Nilforoushan F. Mooshammer K. Mosina Z. Sofer F. Dirnberger M. Kira R. Huber Department of Physics University of Regensburg Regensburg Germany Dept. of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA Department of Physics Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany Department of Inorganic Chemistry University of Chemistry and Technology Prague Prague 6 Czech Republic Institute of Applied Physics Dresden University of Technology Dresden Germany

ISBN: (数字)9798350370324

ISBN: (纸本)9798350370331

We use phase-locked few-cycle mid-infrared pulses to probe internal Rydberg-like transitions of quasi-one-dimensional excitons in the magnetic semiconductor CrSBr. The experimentally observed fine structure encompasses a lifted degeneracy of the 2p states induced by the anisotropic optoelectronic properties of the crystal. Furthermore, the Coulomb correlations are effectively controlled via the magnetic structure. By inducing a phase transition from antiferromagnetic to paramagnetic states either thermally or by applying an external magnetic field, we can switch excitons from strongly bound and mono-layer-localized to weakly bound and interlayer-delocalized species. A state-of-the-art many-body theory fully captures these findings and identifies the spin restrictions of the interlayer tunneling. In the paramagnetic phase, the reduced quantum confinement lowers the binding energy and increases the phase space for scattering. This in situ control of Coulomb correlations opens a path to shape phase transitions on demand.

关键词： Correlation Excitons Shape Magnetic confinement Scattering Switches Perpendicular magnetic anisotropy Probes Magnetic semiconductors Magnetic tunneling

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