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Reconfigurable Image Processing Metasurfaces with Phase-Change Materials

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arXiv 2023年

作者： Cotrufo, Michele Sulejman, Shaban B. Wesemann, Lukas Rahman, Md Ataur Bhaskaran, Madhu Roberts, Ann Alù, Andrea Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States The Institute of Optics University of Rochester RochesterNY14627 United States ARC Centre of Excellence for Transformative Meta-Optical Systems School of Physics The University of Melbourne VIC3010 Australia Functional Materials and Microsystems Research Group The Micro Nano Research Facility RMIT University Melbourne Australia ARC Centre of Excellence for Transformative Meta-Optical Systems RMIT University Melbourne Australia Physics Program Graduate Center of the City University of New York New YorkNY10016 United States

Optical metasurfaces have been enabling reduced footprint and power consumption, as well as faster speeds, in the context of analog computing and image processing. While various image processing and optical computing functionalities have been recently demonstrated using metasurfaces, most of the considered devices are static and lack reconfigurability. Yet, the ability to dynamically reconfigure processing operations is key for metasurfaces to be able to compete with practical computing systems. Here, we demonstrate a passive edge-detection metasurface operating in the near-infrared regime whose image processing response can be drastically modified by temperature variations smaller than 10° C around a CMOS-compatible temperature of 65° C. Such reconfigurability is achieved by leveraging the insulator-to-metal phase transition of a thin buried layer of vanadium dioxide which, in turn, strongly alters the nonlocal response of the metasurface. Importantly, this reconfigurability is accompanied by performance metrics - such as high numerical aperture, high efficiency, isotropy, and polarization-independence - close to optimal, and it is combined with a simple geometry compatible with large-scale manufacturing. Our work paves the way to a new generation of ultra-compact, tunable, passive devices for all-optical computation, with potential applications in augmented reality, remote sensing and bio-medical imaging. © 2023, CC BY.

关键词： Optical data processing

AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review

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arXiv 2024年

作者： Jin, Rui Li, Derun Xiang, Dehui Zhang, Lei Zhou, Hailing Shi, Fei Zhu, Weifang Cai, Jing Peng, Tao Chen, Xinjian School of Future Science and Engineering Soochow University Suzhou China Department of Urology Peking University First Hospital Xicheng District Beijing100034 China MIPAV Lab The School of Electronic and Information Engineering Soochow University Jiangsu China Graduate Program of Medical Physics and Data Science Research Center Duke Kunshan University Jiangsu Kunshan215316 China Department of Mechanical Engineering and Product Design Engineering Swinburne University of Technology Melbourne Australia Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong Department of Radiation Oncology UT Southwestern Medical Center DallasTX United States The State Key Laboratory of Radiation Medicine and Protection Soochow University Jiangsu China

Prostate cancer represents a major threat to health. Early detection is vital in reducing the mortality rate among prostate cancer patients. One approach involves using multi-modality (CT, MRI, US, etc.) computer-aided diagnosis (CAD) systems for the prostate region. However, prostate segmentation is challenging due to imperfections in the images and the prostate’s complex tissue structure. The advent of precision medicine and a significant increase in clinical capacity have spurred the need for various data-driven tasks in the field of medical imaging. Recently, numerous machine learning and data mining tools have been integrated into various medical areas, including image segmentation. This article proposes a new classification method that differentiates supervision types, either in number or kind, during the training phase. Subsequently, we conducted a survey on artificial intelligence (AI)-based automatic prostate segmentation methods, examining the advantages and limitations of each. Additionally, we introduce variants of evaluation metrics for the verification and performance assessment of the segmentation method and summarize the current challenges. Finally, future research directions and development trends are discussed, reflecting the outcomes of our literature survey, suggesting high-precision detection and treatment of prostate cancer as a promising avenue. Impact Statement — Prostate cancer remains a significant health threat, necessitating early detection to reduce mortality rates. Current diagnostic approaches, particularly in medical imaging, face challenges in accurate prostate segmentation due to the organ's complex structure and imaging imperfections. Our review paper delves into AI-based automatic segmentation methods across various imaging modalities (CT, MRI, US), emphasizing their strengths, weaknesses, and the specific challenges they address. By classifying segmentation techniques based on supervision levels, we provide a comprehensive analys

关键词： Computer aided diagnosis

CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data

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CompressedMediQ: Hybrid Quantum Machine Learning Pipeline fo...

Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Kuan-Cheng Chen Yi-Tien Li Tai-Yu Li Chen-Yu Liu Po-Heng Henry Lee Cheng-Yu Chen Department of Electrical and Electronic Engineering Imperial College London London UK Centre for Quantum Engineering Science and Technology (QuEST) Imperial College London London UK Translational Imaging Research Center Taipei Medical University Hospital Taipei Taiwan Research Center for Neuroscience Taipei Medical University Taipei Taiwan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan National Center for High-Performance Computing NARlabs Hsinchu Taiwan Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan Department of Medical Imaging Taipei Medical University Hospital Taipei Taiwan Department of Radiology National Defense Medical Center Taipei Taiwan Department of Radiology School of Medicine College of Medicine Taipei Taiwan

ISBN: (数字)9798331519315

ISBN: (纸本)9798331519322

This paper introduces CompressedMediQ, a novel hybrid quantum-classical machine learning pipeline specifically developed to address the computational challenges associated with high-dimensional multi-class neuroimaging data analysis. Standard neuroimaging datasets, such as large-scale MRI data from the Alzheimer’s Disease Neuroimaging Initiative and Neuroimaging in Frontotemporal Dementia, present significant hurdles due to their vast size and complexity. CompressedMediQ integrates classical HPC nodes for advanced MRI pre-processing and Convolutional Neural Network (CNN)-PCA-based feature extraction and reduction, addressing the limited-qubit availability for quantum data encoding in the NISQ era. This is followed by Quantum Support Vector Machine (QSVM) classification. By utilizing quantum kernel methods, the pipeline optimizes feature mapping and classification, enhancing data separability and outperforming traditional neuroimaging analysis techniques. Experimental results highlight the pipeline’s superior accuracy in dementia staging, validating the practical use of quantum machine learning in clinical diagnostics. Despite the limitations of NISQ devices, this proof-of-concept demonstrates the transformative potential of quantum-enhanced learning, paving the way for scalable and precise diagnostic tools in healthcare and signal processing.

关键词： Neuroimaging Support vector machines Quantum computing Accuracy Magnetic resonance imaging Pipelines Machine learning Medical services Signal processing Standards

Exponential acceleration of macroscopic quantum tunneling in a Floquet Ising model

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arXiv 2023年

作者： Grattan, George Barton, Brandon A. Feeney, Sean Mossi, Gianni Patnaik, Pratik Sagal, Jacob C. Carr, Lincoln D. Oganesyan, Vadim Kapit, Eliot Quantum Engineering Program Colorado School of Mines 1523 Illinois St CO Golden80401 United States Department of Computer Science Colorado School of Mines 1500 Illinois St CO Golden80401 United States Department of Applied Mathematics and Statistics Colorado School of Mines 1500 Illinois St CO Golden80401 United States Department of Physics Colorado School of Mines 1523 Illinois St CO Golden80401 United States KBR Inc. 601 Jefferson St. HoustonTX77002 United States NASA Ames Research Center Moffett FieldCA94035 United States Department of Physics and Astronomy College of Staten Island CUNY Staten IslandNY10314 United States Physics program and Initiative for the Theoretical Sciences The Graduate Center CUNY New YorkNY10016 United States Center for Computational Quantum Physics Flatiron Institute 162 5th Avenue New YorkNY10010 United States

The exponential suppression of macroscopic quantum tunneling (MQT) in the number of elements to be reconfigured is an essential element of broken symmetry phases. Slow MQT is also a core bottleneck in quantum algorithms, such as traversing an energy landscape in optimization, and adiabatic state preparation more generally. In this work, we demonstrate the possibility to accelerate MQT through Floquet engineering with the application of a uniform, high frequency transverse drive field. Using the ferromagnetic phase of the transverse field Ising model in one and two dimensions as a prototypical example, we identify three qualitatively distinct regimes as a function of drive strength: (i) for weak drive, the system exhibits exponentially slow MQT alongside robust magnetic order, as expected;(ii) at intermediate drive strength, we find polynomial decay of rates alongside vanishing magnetic order consistent with critical or paramagnetic state;(iii) at very strong drive strengths both the tunnelling rate and time-averaged magnetic order remain finite with increasing system size. We support these claims with extensive full wavefunction and matrix-product state numerical simulations, and theoretical analysis. An experimental test of these results presents a technologically important and novel scientific question accessible on NISQ-era quantum computers. © 2023, CC BY.

关键词： Ising model

Symmetry-driven Phononic Metamaterials

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arXiv 2024年

作者： Yves, Simon Fleury, Romain Shmuel, Gal Vitelli, Vincenzo Haberman, Michael R. Alù, Andrea Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Laboratory of Wave Engineering EPFL Lausanne1015 Switzerland Faculty of Mechanical Engineering Technion Israel Institute of Technology Haifa32000 Israel University of Chicago James Franck Institute 929 E 57th Street ChicagoIL60637 United States University of Chicago Kadanoff Center for Theoretical Physics 933 E 56th St ChicagoIL60637 United States Walker Department of Mechanical Engineering The University of Texas at Austin AustinTX78712 United States Physics Program Graduate Center City University of New York New YorkNY10026 United States

Phonons are quasi-particles associated with mechanical vibrations in materials, at the root of the propagation of sound, elastic / mechanical waves, and of thermal phenomena, common to our every day life and many technologies. The fundamental understanding and control over phonon responses in natural and artificial media is of major importance in the context of telecommunications, shielding, energy harvesting and control, sensing and imaging, across multiple scales. In this context, it has been recently realized that controlling different classes of symmetries at the microscopic and mesoscopic scale offers a powerful rational tool to precisely tailor phononic responses, leading to advanced acoustic and elastodynamic wave control. In this paper, we review the recent advances in the design and synthesis of artificial phononic media, namely phononic metamaterials, guided by symmetry principles. Starting from tailored broken spatial symmetries, we discuss their interplay with time symmetries for non-reciprocity and non-conservative phenomena, and finally address broader concepts that combine multiple symmetry classes to support exotic phononic wave transport. © 2024, CC BY.

关键词： Phonons

Search for supernova neutrinos and constraint on the galactic star formation rate with the KamLAND data

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arXiv 2022年

作者： Abe, S. Asami, S. Eizuka, Minori Futagi, S. Gando, A. Gando, Y. Gima, T. Goto, A. Hachiya, T. Hata, K. Hosokawa, K. Ichimura, K. Ieki, S. Ikeda, H. Inoue, K. Ishidoshiro, K. Kamei, Y. Kawada, N. Kishimoto, Y. Koga, M. Kurasawa, M. Maemura, N. Mitsui, T. Miyake, H. Nakahata, T. Nakamura, K. Nakamura, R. Ozaki, H. Sakai, T. Sambonsugi, H. Shimizu, I. Shirai, J. Shiraishi, K. Suzuki, A. Suzuki, Y. Takeuchi, A. Tamae, K. Watanabe, H. Yoshida, Y. Obara, S. Ichikawa, A. Yoshida, S. Umehara, S. Fushimi, K. Kotera, K. Urano, Y. Berger, B.E. Fujikawa, B.K. Learned, J.G. Maricic, J. Axani, S.N. Winslow, L.A. Fu, Z. Smolsky, J. Efremenko, Y. Karwowski, H.J. Markoff, D.M. Tornow, W. Li, A. Detwiler, J.A. Enomoto, S. Decowski, M.P. Grant, C. Song, H. O'Donnell, T. Dell'Oro, S. Research Center for Neutrino Science Tohoku University Sendai980-8578 Japan Institute for the Physics and Mathematics of the Universe The University of Tokyo Kashiwa277-8568 Japan Graduate Program on Physics for the Universe Tohoku University Sendai980-8578 Japan Frontier Research Institute for Interdisciplinary Sciences Tohoku University Sendai980-8578 Japan Department of Physics Tohoku University Sendai980-8578 Japan Graduate School of Science Osaka University Osaka Toyonaka560-0043 Japan Osaka University Osaka Ibaraki567-0047 Japan Department of Physics Tokushima University Tokushima770-8506 Japan Graduate School of Advanced Technology and Science Tokushima University Tokushima770-8506 Japan Nuclear Science Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Physics and Astronomy University of Hawaii at Manoa HonoluluHI96822 United States Massachusetts Institute of Technology CambridgeMA02139 United States Department of Physics and Astronomy University of Tennessee KnoxvilleTN37996 United States Triangle Universities Nuclear Laboratory DurhamNC27708 United States The University of North Carolina at Chapel Hill Chapel HillNC27599 United States North Carolina Central University DurhamNC27701 United States Department of Physics Duke University DurhamNC27705 United States Center for Experimental Nuclear Physics and Astrophysics University of Washington SeattleWA98195 United States Nikhef The University of Amsterdam Science Park Amsterdam Netherlands Boston University BostonMA02215 United States Center for Neutrino Physics Virginia Polytechnic Institute State University BlacksburgVA24061 United States

We present the results of a search for core-collapse supernova neutrinos, using long-term KamLAND data from 2002 March 9 to 2020 April 25. We focus on the electron antineutrinos emitted from supernovae in the energy range of 1.8-111 MeV. Supernovae will make a neutrino event cluster with the duration of ∼10 s in the KamLAND data. We find no neutrino clusters and give the upper limit on the supernova rate as to be 0.15 yr−1 with a 90% confidence level. The detectable range, which corresponds to a >95% detection probability, is 40-59 kpc and 65-81 kpc for core-collapse supernovae and failed core-collapse supernovae, respectively. This paper proposes to convert the supernova rate obtained by the neutrino observation to the Galactic star formation rate. Assuming a modified Salpeter-type initial mass function, the upper limit on the Galactic star formation rate is ☉ yr−1 with a 90% confidence level. © 2022, CC BY-NC-ND.

关键词： Supernovae

Shifting the learning gears: Redesigning a project-based course on soft matter through the perspective of constructionism

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Physical Review physics Education Research 2020年第2期16卷 020147-020147页

作者： Elon Langbeheim Ariel Abrashkin Ariel Steiner Haim Edri Samuel Safran Edit Yerushalmi Graduate Program of Science and Technology Education Ben-Gurion University 8410501 Beer-Sheva Israel Department of Science Teaching Weizmann Institute of Science 7610001 Rehovot Israel Department of Chemical and Biological Physics Weizmann Institute of Science 7610001 Rehovot Israel

This article describes the redesign of a project-based course on soft and biological materials to include computational modeling. Including the construction of computational models in the course is described as a shift from constructivism—a theory that characterizes the development of formal reasoning, to constructionism—a theory that focuses on learning while constructing artifacts. This shift ameliorated two drawbacks in the original course: the limited conceptualization of entropy resulting from an unproductive use of the disorder metaphor, and the dependence of most students on the teacher for writing theoretical explanations for their final papers. In the redesigned curriculum, computer simulations provide concrete dynamic representations that students can draw upon for developing nuanced, formal reasoning on entropy and the 2nd law of thermodynamics. In addition, core computational models act as a flexible web that can be extended and modified, and allow a significant proportion of the students to build theoretical models on their own. We conclude that while the new design reflects a shift towards constructionism, we did not adopt a fully constructionist approach, rather a blend of constructivist and constructionist approaches.

关键词： Entropy Instructional materials development

Intermediate-luminosity Type IIP SN 2021gmj: a low-energy explosion with signatures of circumstellar material

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arXiv 2024年

作者： Murai, Yuta Tanaka, Masaomi Kawabata, Miho Taguchi, Kenta Teja, Rishabh Singh Nakaoka, Tatsuya Maeda, Keiichi Kawabata, Koji S. Nagao, Takashi Moriya, Takashi J. Sahu, D.K. Anupama, G.C. Tominaga, Nozomu Morokuma, Tomoki Imazawa, Ryo Inutsuka, Satoko Isogai, Keisuke Kasuga, Toshihiro Kobayashi, Naoto Kondo, Sohei Maehara, Hiroyuki Mori, Yuki Niino, Yuu Ogawa, Mao Ohsawa, Ryou Okumura, Shin-Ichiro Saito, Sei Sako, Shigeyuki Takahashi, Hidenori Uno, Kohki Yamanaka, Masayuki Astronomical Institute Tohoku University Sendai980-8578 Japan Division for the Establishment of Frontier Sciences Organization for Advanced Studies Tohoku University Sendai980-8577 Japan Nishi-Harima Astronomical Observatory Center for Astronomy University of Hyogo 407-2 Nishigaichi Sayo-cho Hyogo Sayo679-5313 Japan Department of Astronomy Kyoto University Kitashirakawa-Oiwake-cho Sakyo-ku Kyoto606-8502 Japan Indian Institute of Astrophysics Koramangala 2nd Block Bangalore560034 India Pondicherry University Chinna Kalapet Kalapet Puducherry605014 India Hiroshima Astrophysical Science Centre Hiroshima University 1-3-1 Kagamiyama Higashi-Hiroshima Hiroshima739-8526 Japan Department of Physics Graduate School of Advanced Science and Engineering Hiroshima University 1-3-1 Kagamiyama Higashi-Hiroshima Hiroshima739-8526 Japan Department of Physics and Astronomy University of Turku TurkuFI-20014 Finland Aalto University Metsähovi Radio Observatory Metsähovintie 114 Kylmälä02540 Finland Aalto University Department of Electronics and Nanoengineering P.O. BOX 15500 AaltoFI-00076 Finland National Astronomical Observatory of Japan National Institutes of Natural Sciences 2-21-1 Osawa Mitaka Tokyo181-8588 Japan School of Physics and Astronomy Faculty of Science Monash University ClaytonVIC3800 Australia Astronomical Science Program Graduate Institute for Advanced Studies SOKENDAI 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Department of Physics Faculty of Science and Engineering Konan University 8-9-1 Okamoto Hyogo Kobe658-8501 Japan The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8583 Japan Planetary Exploration Research Center Chiba Institute of Technology 2-17-1 Tsudanuma Chiba Narashino275-0016 Japan Institute of Astronomy Graduate School of Science The University of Tokyo 2-21-1 Osawa Mitaka Tokyo181-0015 Japan Okayama Observatory Kyoto University 3037-5 Honjo Kamogatacho Okayama Asakuchi719-0232 Japan Dep

We present photometric, spectroscopic and polarimetric observations of the intermediate-luminosity Type IIP supernova (SN) 2021gmj from 1 to 386 days after the explosion. The peak absolute V-band magnitude of SN 2021gmj is −15.5 mag, which is fainter than that of normal Type IIP SNe. The spectral evolution of SN 2021gmj resembles that of other sub-luminous supernovae: the optical spectra show narrow P-Cygni profiles, indicating a low expansion velocity. We estimate the progenitor mass to be about 12 M☉ from the nebular spectrum and the 56Ni mass to be about 0.02 M☉ from the bolometric light curve. We also derive the explosion energy to be about 3×1050 erg by comparing numerical light curve models with the observed light curves. Polarization in the plateau phase is not very large, suggesting nearly spherical outer envelope. The early photometric observations capture the rapid rise of the light curve, which is likely due to the interaction with a circumstellar material (CSM). The broad emission feature formed by highly-ionized lines on top of a blue continuum in the earliest spectrum gives further indication of the CSM at the vicinity of the progenitor. Our work suggests that a relatively low-mass progenitor of an intermediate-luminosity Type IIP SN can also experience an enhanced mass loss just before the explosion, as suggested for normal Type IIP SNe. © 2024, CC BY.

关键词： Supernovae

Fabrication of tantalum silicate films with low TCR and low resistivity by magnetron sputtering

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Vacuum 2024年 226卷

作者： Chen, Cheng-Lung Huang, Cheng Chen, Sheng-Chi Liu, Yen-Chen Chuang, Min-Chen Wen, Chao-Kuang Huang, Wei-Sheng Yang, Wen-Sheng Chen, Yang-Yuan Graduate School of Materials Science National Yunlin University of Science and Technology Yunlin64002 Taiwan Department of Materials Engineering and Center for Plasma and Thin Film Technologies Ming Chi University of Technology 243 New Taipei City Taiwan College of Engineering and Center for Green Technology Chang Gung University 333 Taoyuan Taiwan International Ph.D. Program in Plasma and Thin Film Technology Ming Chi University of Technology 243 New Taipei City Taiwan TPH Research & Develop Dept. Chien Hwa Coating Technology Inc. Hsinchu300 Taiwan National Engineering Research Center for Rare Earth Materials Grirem Advanced Materials Co. Ltd. General Research Institute for Nonferrous Metals Beijing100088 China Institute of Physics Academia Sinica 115 Taipei Taiwan

Tantalum silicate (Ta–Si–O) thin film materials have gained significant interest in hybrid renewable energy systems and thin-film resistors due to their exceptional thermal stability and adjustable electrical properties. In this study, we investigated the effects of target compositions and sputtering power densities on the material structures, chemical compositions, microstructures, and electrical properties of Ta–Si–O films. Two target compositions, Ta65(SiO2)35 and Ta80(SiO2)20, were utilized in the deposition process. Notably, we observed substantial variations in the temperature coefficient of resistance (TCR) value and resistivity of Ta–Si–O thin films with different Ta concentrations. Most importantly, when the Ta content of the film is controlled at 62 ± 0.6 % by using this target, the resistivity of the Ta0.62Si0.20O0.18 film can be as small as 2.31 ± 0.05 × 10−4 Ω-cm and has an extremely small TCR of 22 ± 0.4 ppm/°C, which shows an excellent opportunity for the development of precision thin film resistors. A TCR value close to zero can be finely tuned by controlling the Ta concentration in the Ta–Si–O film. These intriguing electrical behaviors were found to be highly correlated with the predominant formation of metallic Ta5Si3 as the main structural phase in the films. This work presents a simple and effective approach to produce Ta–Si–O thin films with near-zero TCR, making them highly suitable for applications under high-temperature conditions. Our findings contribute to the development of tailored thin film materials with desirable electrical properties for advanced electronic and energy devices. © 2024 Elsevier Ltd

关键词： Thin films