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Hetero-Magnetic Swinging Inductor (HMSI) and Its Application for Power Factor Correction Converters 10

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Hetero-Magnetic Swinging Inductor (HMSI) and Its Application...

10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018

作者： Lu, Shengchang Mei, Yuhui Ding, Chao Ngo, Khai D.T. Liu, Lanbing Lu, Guo-Quan Bradley Department of Electrical and Computer Engineering Virginia Tech Center for Power Electronics Systems BlacksburgVA24061 United States School of Material Science and Engineering Tianjin University Center of High-Temperature Electronic Packaging Tianjin China Department of Materials Science and Engineering Virginia Tech BlacksburgVA24061 United States

ISBN: (纸本)9781479973118

A variable inductor concept based on a magnetic structure consisting of a composite of magnetic materials is introduced to meet designed inductance function of current. A design of the inductor, termed hetero-magnetic swinging inductor (HMSI), was fabricated using a toroid core with a gap that was filled by a custom-developed low-permeability magnetic powder + polymer material. Having the gap filled with the magnetic material allowed for greater flexibility in L-I design with added benefit of low fringe field. We applied this swinging inductor to a Critical Conduction Mode (CRM) Boost power factor correction (PFC) converter to reduce its switching frequency variation range. First, the required L-I curve of the HMSI needed for narrow range of switching frequency was calculated. Then, the HMSI core structure consisting of two magnetic materials was designed. Circuit simulations showed that for a 110-Vrms input, the converter with the HMSI had a switching frequency variation factor, defined as Deltatext{f}/text{fmin}, six times less than that of the converter using a linear inductor. A prototype of the HMSI was fabricated and tested. The effectiveness of using the HMSI to narrow the range of switching frequency variation was verified in a 150 W CRM PFC converter. © 2018 IEEE.

关键词： Magnetic materials

Neuroprosthetics: Durable and Fatigue-Resistant Soft Peripheral Neuroprosthetics for In Vivo Bidirectional Signaling (Adv. Mater. 20/2021)

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Advanced materials 2021年第20期33卷

作者： Hyunseon Seo Sang Ihn Han Kang-Il Song Duhwan Seong Kyungwoo Lee Sun Hong Kim Taesung Park Ja Hoon Koo Mikyung Shin Hyoung Won Baac Ok Kyu Park Soong Ju Oh Hyung-Seop Han Hojeong Jeon Yu-Chan Kim Dae-Hyeong Kim Taeghwan Hyeon Donghee Son School of Medicine Sungkyunkwan University Suwon 16419 Republic of Korea Center for Biomaterials Biomedical Research Institute Korea Institute of Science and Technology Seoul 02792 Republic of Korea Center for Nanoparticle Research Institute of Basic Science (IBS) Seoul 08826 Republic of Korea School of Chemical and Biological Engineering Seoul National University Seoul 08826 Republic of Korea Medical Device Development Center Daegu-Gyeongbuk Medical Innovation Foundation Daegu 41061 Republic of Korea Department of Electrical and Computer Engineering Sungkyunkwan University Suwon 16419 Republic of Korea Department of Electrical and Computer Engineering Inter-University Semiconductor Research Center Seoul National University Seoul 08826 Republic of Korea Department of Materials Science and Engineering Korea University Seoul 02841 Republic of Korea Interdisciplinary Program for Bioengineering Seoul National University Seoul 08826 Republic of Korea Department of Biomedical Engineering SKKU Institute for Convergence Sungkyunkwan University Suwon 16419 Republic of Korea Center for Neuroscience Imaging Research Institute for Basic Science (IBS) Suwon 16419 Republic of Korea Department of Superintelligence Engineering Sungkyunkwan University Suwon 16419 Republic of Korea

Qutrit randomized benchmarking

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arXiv 2020年

作者： Morvan, A. Ramasesh, V.V. Blok, M.S. Kreikebaum, J.M. O'Brien, K. Chen, L. Mitchell, B.K. Naik, R.K. Santiago, D.I. Siddiqi, I. Quantum Nanoelectronics Laboratory Dept. of Physics University of California at Berkeley BerkeleyCA94720 United States Computational Research Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Department of Physics and Astronomy University of Rochester RochesterNY14627 United States Materials Sciences Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States

Ternary quantum processors offer significant computational advantages over conventional qubit technologies, leveraging the encoding and processing of quantum information in qutrits (three-level systems). To evaluate and compare the performance of such emerging quantum hardware it is essential to have robust benchmarking methods suitable for a higher-dimensional Hilbert space. We demonstrate extensions of industry standard Randomized Benchmarking (RB) protocols, developed and used extensively for qubits, suitable for ternary quantum logic. Using a superconducting fivequtrit processor, we find a single-qutrit gate infidelity as low as 2.38 × 10-3. Through interleaved RB, we find that this qutrit gate error is largely limited by the native (qubit-like) gate fidelity, and employ simultaneous RB to fully characterize cross-talk errors. Finally, we apply cycle benchmarking to a two-qutrit CSUM gate and obtain a two-qutrit process fidelity of 0.82. Our results demonstrate a RB-based tool to characterize the obtain overall performance of a qutrit processor, and a general approach to diagnose control errors in future qudit hardware. Copyright © 2020, The Authors. All rights reserved.

关键词： Benchmarking

Inverse Design of Nanoparticles for Enhanced Raman Scattering

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arXiv 2019年

作者： Christiansen, Rasmus E. Michon, Jérôme Benzaouia, Mohammed Sigmund, Ole Johnson, Steven G. Department of Mechanical Engineering Technical University of Denmark Nils Koppels Allé Building 404 Kongens Lyngby2800 Denmark Department of Mathematics Massachusetts Institute of Technology CambridgeMA02139 United States Department of Materials Science and Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States

We show that topology optimization (TO) of metallic resonators can lead to ∼ 102× improvement in surface-enhanced Raman scattering (SERS) efficiency compared to traditional resonant structures such as bowtie antennas. TO inverse design leads to surprising structures very different from conventional designs, which simultaneously optimize focusing of the incident wave and emission from the Raman dipole. We consider isolated metallic particles as well as more complicated configurations such as periodic surfaces or resonators coupled to dielectric waveguides, and the benefits of TO are even greater in the latter case. Our results are motivated by recent rigorous upper bounds to Raman scattering enhancement, and shed light on the extent to which these bounds are achievable. Copyright © 2019, The Authors. All rights reserved.

关键词： Resonators

On the electron energy distribution function in the high power impulse magnetron sputtering discharge

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arXiv 2021年

作者： Rudolph, Martin Revel, A. Lundin, D. Hajihoseini, H. Brenning, N. Raadu, M.A. Anders, A. Minea, T.M. Gudmundsson, Jon Tomas Permoserstraße 15 Leipzig04318 Germany Laboratoire de Physique des Gaz et Plasmas - LPGP UMR 8578 CNRS Université Paris-Saclay Orsay Cedex91405 France Plasma and Coatings Physics Division IFM-Materials Physics Linköping University LinköpingSE-581 83 Sweden Science Institute University of Iceland Dunhaga 3 ReykjavikIS-107 Iceland Industrial Focus Group XUV Optics MESA+ Institute for Nanotechnology University of Twente Drienerlolaan 5 Enschede7522 NB Netherlands Department of Space and Plasma Physics School of Electrical Engineering and Computer Science KTH Royal Institute of Technology StockholmSE-100 44 Sweden Felix Bloch Institute of Solid State Physics Leipzig University Linnéstraße 5 Leipzig04103 Germany

We apply the Ionization Region Model (IRM) and the Orsay Boltzmann equation for ELectrons coupled with Ionization and eXcited states kinetics (OBELIX) model to study the electron kinetics of a high power impulse magnetron sputtering (HiPIMS) discharge. In the IRM the bulk (cold) electrons are assumed to exhibit a Maxwellian energy distribution and the secondary (hot) electrons, emitted from the target surface upon ion bombardment, are treated as a high energy tail, while in the OBELIX the electron energy distribution is calculated self-consistently using an isotropic Boltzmann equation. The two models are merged in the sense that the output from the IRM is used as an input for OBELIX. The temporal evolutions of the particle densities are found to agree very well between the two models. Furthermore, a very good agreement is demonstrated between the bi-Maxwellian electron energy distribution assumed by the IRM and the electron energy distribution calculated by the OBELIX model. It can therefore be concluded that assuming a bi-Maxwellian electron energy distribution, constituting a cold bulk electron group and a hot secondary electron group, is a good approximation for modeling the HiPIMS discharge. © 2021, CC BY-NC-ND.

关键词： Magnetron sputtering

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers

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arXiv 2025年

作者： Wang, Meng Lin, Tian Hou, Qingshan Lin, Aidi Wang, Jingcheng Peng, Qingsheng Nguyen, Truong X. Fang, Danqi Zou, Ke Xu, Ting Xue, Cancan Quek, Ten Cheer Yu, Qinkai Liu, Minxin Zhou, Hui Xiao, Zixuan He, Guiqin Liang, Huiyu Shi, Tingkun Chen, Man Liu, Linna Peng, Yuanyuan Wang, Lianyu Hu, Qiuming Chen, Junhong Zhang, Zhenhua Chen, Cheng Zhao, Yitian Liu, Dianbo Wu, Jianhua Chen, Xinjian Zhang, Changqing Nguyen, Triet Thanh Meng, Yanda Zheng, Yalin Tham, Yih Chung Cheung, Carol Y. Fu, Huazhu Chen, Haoyu Cheng, Ching-Yu Centre for Innovation and Precision Eye Health Yong Loo Lin School of Medicine National University of Singapore Singapore119228 Singapore Department of Ophthalmology Yong Loo Lin School of Medicine National University of Singapore Singapore119228 Singapore Joint Shantou International Eye Center Shantou University The Chinese University of Hong Kong Guangdong Shantou515041 China Shantou University Medical College Guangdong Shantou515041 China School of Computer Science and Engineering Northeastern University Liaoning Shenyang110819 China Big Vision Medical Technology Ltd. Suzhou215011 China Singapore Eye Research Institute Singapore National Eye Centre Singapore169856 Singapore Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong 999077 Hong Kong Binh Dinh Eye Hospital Viet Nam Department of Computer Science University of Exeter ExeterEX4 4RN United Kingdom University of Science and Technology Hospital Guangdong Shenzhen518000 China Shenzhen Qianhai Shekou Free Trade Zone Hospital Guangdong Shenzhen518000 China Department of Ophthalmology Meizhou People’s Hospital Meizhou Academy of Medical Sciences Guangdong Meizhou514000 China Department of Ophthalmology Yeungnam University College of Medicine Daegu42417 Korea Republic of Aier Eye Hospital of Wuhan University Hubei Wuhan430000 China School of Biomedical Engineering Anhui Medical University Anhui Hefei230032 China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing211100 China Guangxi Jingliang Eye Hospital Guangxi Nanning530021 China Puning People’s Hospital Guangdong Jieyang522000 China Shandong Qingdao266042 China Department of Electrical and Electronic Engineering the University of Hong Kong Hong Kong Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Zhejiang Ningbo315201 China School of Electronics and Information Engineering Soochow University

Artificial intelligence (AI) shows remarkable potential in medical imaging diagnostics, but current models typically require retraining when deployed across different clinical centers, limiting their widespread adoption. We introduce GlobeReady, a clinician-friendly AI platform that enables ocular disease diagnosis without retraining/fine-tuning or technical expertise. GlobeReady achieves high accuracy across imaging modalities: 93.9–98.5% for an 11-category fundus photo dataset and 87.2–92.7% for a 15-category OCT dataset. Through training-free local feature augmentation, it addresses domain shifts across centers and populations, reaching an average accuracy of 88.9% across five centers in China, 86.3% in Vietnam, and 90.2% in the UK. The built-in confidence-quantifiable diagnostic approach further boosted accuracy to 94.9–99.4% (fundus) and 88.2–96.2% (OCT), while identifying out-of-distribution cases at 86.3% (49 CFP categories) and 90.6% (13 OCT categories). Clinicians from multiple countries rated GlobeReady highly (average 4.6 out of 5) for its usability and clinical relevance. These results demonstrate GlobeReady’s robust, scalable diagnostic capability and potential to support ophthalmic care without technical barriers. © 2025, CC0.

关键词： Ophthalmology

Leveraging randomized compiling for the QITE algorithm

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arXiv 2021年

作者： Ville, Jean-Loup Morvan, Alexis Hashim, Akel Naik, Ravi K. Lu, Marie Mitchell, Bradley Kreikebaum, John-Mark O’Brien, Kevin P. Wallman, Joel J. Hincks, Ian Emerson, Joseph Smith, Ethan Younis, Ed Iancu, Costin Santiago, David I. Siddiqi, Irfan Quantum Nanoelectronics Laboratory Dept. of Physics University of California at Berkeley BerkeleyCA94720 United States Computational Research Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Inst. for Quantum Computing Dept. of Applied Mathematics University of Waterloo WaterlooONN2L 3G1 Canada Quantum Benchmark Inc. KitchenerONN2H 5G5 Canada

The success of the current generation of Noisy Intermediate-Scale Quantum (NISQ) hardware shows that quantum hardware may be able to tackle complex problems even without error correction. One outstanding issue is that of coherent errors arising from the increased complexity of these devices. These errors can accumulate through a circuit, making their impact on algorithms hard to predict and mitigate. Iterative algorithms like Quantum Imaginary Time Evolution are susceptible to these errors. This article presents the combination of both noise tailoring using Randomized Compiling and error mitigation with a purification. We also show that Cycle Benchmarking gives an estimate of the reliability of the purification. We apply this method to the Quantum Imaginary Time Evolution of a Transverse Field Ising Model and report an energy estimation and a ground state infidelity both below 1%. Our methodology is general and can be used for other algorithms and platforms. We show how combining noise tailoring and error mitigation will push forward the performance of NISQ devices. © 2021, CC BY.

关键词： Benchmarking

Entropy measurement of a strongly coupled quantum dot

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arXiv 2021年

作者： Child, Timothy Sheekey, Owen Lüscher, Silvia Fallahi, Saeed Gardner, Geoffrey C. Manfra, Michael Mitchell, Andrew Sela, Eran Kleeorin, Yaakov Meir, Yigal Folk, Joshua Stewart Blusson Quantum Matter Institute University of British Columbia VancouverBCV6T1Z4 Canada Department of Physics and Astronomy University of British Columbia VancouverBCV6T1Z1 Canada Department of Physics and Astronomy Purdue University West LafayetteIN United States Birck Nanotechnology Center Purdue University West LafayetteIN United States School of Materials Engineering Purdue University West LafayetteIN United States Elmore Family School of Electrical and Computer Engineering Purdue University West LafayetteIN United States School of Physics University College Dublin Belfield Dublin 4 Ireland Centre for Quantum Engineering Science and Technology University College Dublin Dublin 4 Ireland Raymond and Beverly Sackler School of Physics and Astronomy Tel-Aviv University Tel AvivIL-69978 Israel Center for the Physics of Evolving Systems University of Chicago ChicagoIL60637 United States Department of Physics Ben-Gurion University of the Negev Beer Sheva84105 Israel The Ilse Katz Institute for Nanoscale Science and Technology Ben-Gurion University of the Negev Beer Sheva84105 Israel

The spin 1/2 entropy of electrons trapped in a quantum dot has previously been measured with great accuracy, but the protocol used for that measurement is valid only within a restrictive set of conditions. Here, we demonstrate a novel entropy measurement protocol that is universal for arbitrary mesoscopic circuits and apply this new approach to measure the entropy of a quantum dot hybridized with a reservoir, where Kondo correlations typically dominate spin physics. The experimental results match closely to numerical renormalization group (NRG) calculations for small and intermediate coupling. For the largest couplings investigated in this work, NRG predicts a suppression of spin entropy at the charge transition due to the formation of a Kondo singlet, but that suppression is not observed in the experiment. © 2021, CC BY.

关键词： Semiconductor quantum dots

Triple reduction of threshold current for $1.3 \mu \mathrm{m}$ in as quantum dot lasers on patterned, on-axis (001) Si

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Triple reduction of threshold current for $1.3 \mu \mathrm{m...

Conference on Lasers and Electro-Optics (CLEO)

作者： Chen Shang Yating Wan Justin Norman Daehwan Jung Qiang Li Kei May Lau Arthur C. Gossard John E. Bowers Materials Department University of California Santa Barbara Santa Barbara California USA Institute for Energy Efficiency University of California Santa Barbara Santa Barbara California USA Department of Electronic and Computer Engineering Hong Kong University of Science & Technology Clear Water Bay Hong Kong Department of Electrical and Computer Engineering University of California Santa Barbara Santa Barbara California USA

Triple reduction of threshold current was achieved for 1.3 μm InAs quantum dot lasers on patterned, on-axis (001)Si. This was enabled by reducing the threading dislocation density, from 7×10 7 to 3×10 6 cm...

ISBN: (纸本)9781728137186

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