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Nanophotonic engineering of far-field thermal emitters

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arXiv 2018年

作者： Baranov, Denis G. Xiao, Yuzhe Nechepurenko, Igor A. Krasnok, Alex Alù, Andrea Kats, Mikhail A. Department of Physics Chalmers University of Technology Gothenburg412 96 Sweden Department of Electrical and Computer Engineering University of Wisconsin-Madison WI United States Dukhov Research Institute of Automatics 22 Sushchevskaya Moscow127055 Russia Photonics Initiative Advanced Science Research Center City University of New York NY10031 United States Physics Program Graduate Center City University of New York NY10016 United States Department of Electrical Engineering City College of The City University of New York New York10031 United States Department of Materials Science and Engineering University of Wisconsin-Madison WI United States Department of Physics University of Wisconsin-Madison WI United States

Thermal emission is a ubiquitous and fundamental process by which all objects at non-zero temperatures radiate electromagnetic energy. This process is often presented to be incoherent in both space and time, resulting in broadband, omnidirectional light emission toward the far field, with a spectral density related to the emitter temperature by Planck’s law. Over the past two decades, there has been considerable progress in engineering the spectrum, directionality, polarization, and temporal response of thermally emitted light using nanostructured materials. This review summarizes the basic physics of thermal emission, lays out various nanophotonic approaches to engineer thermal-emission in the far field, and highlights several relevant applications, including energy harvesting, lighting, and radiative cooling. Copyright © 2018, The Authors. All rights reserved.

关键词： Spectral density

Optothermoplasmonic Patterning: Optothermoplasmonic Nanolithography for On‐Demand Patterning of 2D Materials (Adv. Funct. Mater. 41/2018)

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Advanced Functional Materials 2018年第41期28卷

作者： Linhan Lin Jingang Li Wei Li Maruthi N. Yogeesh Jianjian Shi Xiaolei Peng Yaoran Liu Bharath Bangalore Rajeeva Michael F. Becker Yuanyue Liu Deji Akinwande Yuebing Zheng Department of Mechanical Engineering Materials Science & Engineering Program and Texas Materials Institute The University of Texas at Austin Austin TX 78712 USA Microelectronics Research Centre The University of Texas at Austin Austin TX 78758 USA Department of Electrical Engineering and Computer Science University of California at Berkeley Berkeley CA 94720 USA Department of Electrical and Computer Engineering The University of Texas at Austin Austin TX 78712 USA

A blind deconvolution technique based on projection onto convex sets for magnetic particle imaging

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arXiv 2017年

作者： Yorulmaz, Onur Burak Demirel, O. Çukur, Tolga Saritas, Emine U. Enis Çetin, A. Department of Electrical and Electronics Engineering Bilkent University Ankara Turkey Bilkent University Ankara Turkey Neuroscience Program Sabuncu Brain Research Center Bilkent University Ankara Turkey Department of Electrical and Computer Engineering University of Illinois at Chicago United States

Magnetic particle imaging (MPI) maps the spatial distribution of superparamagnetic iron oxide nanoparticles (SPIO) by leveraging the nonlinear magnetization response of the particles. In x-space image reconstruction, MPI images are spatially blurred as a result of the nature of this response, as well as nanoparticle relaxation effects. In this article, we present a blind deconvolution method for MPI based on convex sets constructed from the phase of the Fourier Transform and bounded i\ energy of a given image. The proposed method relies on the observation that imaging point spread functions (PSF) in MPI have zero phase in Fourier domain. Thus, although images are blurred, phase information is unaltered in Fourier domain. The proposed blind deconvolution method iteratively enforces consistency of phase and other spatial information using an orthogonal Projections Onto Convex Sets (POCS) algorithm. Comparisons are performed against Wiener and Lucy-Richardson deconvolution methods. The proposed method outperforms conventional methods in terms of image quality, and it demonstrates reliable performance against loss of the fundamental harmonic, nanoparticle relaxation effects, and noise. Copyright © 2017, The Authors. All rights reserved.

关键词： Convolution

Flood control study using 1D/2D numerical model in Cipabuaran Channel, Sabi River Watershed, Tangerang City

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IOP Conference Series: Materials Science and engineering 2019年第4期662卷

作者： V Pratiwi B P Yakti A Rizaldi I R Moe D P Koesrindartono Doctoral Program of Civil Engineering Civil and Environmental Engineering Faculty Institut Teknologi Bandung Jl. Ganesha 10 Bandung Indonesia Civil Engineering Department Computer Sciences and Engineering Faculty Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung Indonesia Center for Water Resources Development Institute for Research and Community Services Institut Teknologi Bandung Jl. Ganesha 10 Bandung Indonesia Directorate General of Water Resources Ministry of Public Works and Housing Jl. Pattimura No. 20 Kebayoran Baru Jakarta Selatan Indonesia Public Works and Spatial Planning Agency Jl. KS. Tubun No. 96 Tangerang Indonesia

The flood that occurred in Tangerang City still remains an issue that has not been resolved. The flood arose from Bogor through the Cisadane River. Cipabuaran Channel is one of the channels in the Sabi River watershed who often overflows. Sabi River itself is a tributary of the Cisadane River. In this study, the flood control simulation in Cipabuaran Channel was carried out using a 1D-2D numerical model. Simulation is carried out with 4 scenarios based on the design flow of the 10 year return period. For scenario 1, flood control is carried out using retention pond in the downstream of Cipabuaran Channel, scenario 2 is carried out by using two retention ponds in the upstream and downstream of Cipabuaran Channel, scenario 3 using retention ponds in the downstream of Cipabuaran Channel and bypass channel to Cisadane river, and scenario 4 performed by using retention pond in the downstream of Cipabuaran Channel and normalization on the Channel. Simulation results show the effectiveness of flood reduction for each scenario, in scenario 1 flood can be reduced by 9%, scenario 2 flood can be reduced by 32.52%, scenario 3 flood can be reduced by 77.34% and for scenario 4 flood can be reduced by 95%. From these results, it can be concluded that scenario 4 where flood control is carried out using a retention pond in the downstream of Cipabuaran Channel and normalizing the River can reduce flooding significantly.

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Acoustic supercoupling in a zero-compressibility waveguide

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arXiv 2018年

作者： Esfahlani, H. Byrne, M.S. McDermott, M. Alù, A. Photonics Initiative Advanced Science Research Center City University of New York New York CityNY10031 United States Department of Electrical and Computer Engineering University of Texas at Austin AustinTX78712 United States LausanneCH-1015 Switzerland Naval Surface Warfare Center Carderock Division West BethesdaMD20817 United States Physics Program Graduate Center City University of New York New York CityNY10026 United States Department of Electrical Engineering City College of New York New York CityNY10031 United States

Funneling acoustic waves through largely mismatched channels is of fundamental importance to tailor and transmit sound for a variety of applications. In electromagnetics, zero-permittivity metamaterials have been used to enhance the coupling of energy in and out of ultranarrow channels, based on a phenomenon known as supercoupling. These metamaterial channels can support total transmission and complete phase uniformity, independent of the channel length, despite being geometrically mismatched to their input and output ports. In the field of acoustics, this phenomenon is challenging to achieve, since it requires zero-density metamaterials, typically realized with waveguides periodically loaded with membranes or resonators. Compared to electromagnetics, the additional challenge is due to the fact that conventional acoustic waveguides do not support a cut-off for the dominant mode of propagation, and therefore zero-index can be achieved only based on a collective resonance of the loading elements. Here we propose and experimentally realize acoustic supercoupling in a dual regime, using a compressibility-near-zero acoustic channel. Rather than engineering the channel with subwavelength inclusions, we operate at the cut-off of a higher-order acoustic mode, demonstrating the realization and efficient excitation of a zero-compressibility waveguide with effective soft boundaries. We experimentally verify strong transmission through a largely mismatched channel and uniform phase distribution, independent of the channel length. Our results open interesting pathways towards the realization of extreme acoustic parameters, and their implementation in relevant applications, such as ultrasound imaging, sonar technology, and sound transmission. Copyright © 2018, The Authors. All rights reserved.

关键词： Compressibility

Erratum to 'Relation Between Mitral Valve Prolapse and Erectile Dysfunction (from a Nationwide Case-Control Study)': The American Journal of Cardiology 2019 Nov 15;124(10):1590-1593./ doi: 10.1016/***.2019.08.010

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The American journal of cardiology 2021年 142卷 161页

作者： Shiu-Dong Chung Ju-Chi Liu Tsai-Ning Lou Ben-Chang Shia Herng-Ching Lin Li-Ting Kao Division of Urology Department of Surgery Far Eastern Memorial Hospital Taipei Taiwan Department of Computer Science and Engineering and Graduate Program in Biomedical Informatics College of Informatics Yuan-Ze University Chung-Li Taiwan Sleep Research Center Taipei Medical University Hospital Taipei Taiwan. Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Division of Cardiovascular Medicine Department of Medicine Medical University Hospital-Shuang Ho Hospital TaipeiTaiwan. School of Health Care Administration Taipei Medical University Taipei Taiwan. Big Data Research Center Taipei Medical University Taipei Taiwan. Sleep Research Center Taipei Medical University Hospital Taipei Taiwan School of Health Care Administration Taipei Medical University Taipei Taiwan Graduate Institute of Life Sciences National Defense Medical Center Taipei Taiwan Department of Pharmacy Practice Tri-Service General Hospital Taipei Taiwan School of Pharmacy National Defense Medical Center Taipei Taiwan.. Electronic address: kaoliting@***.

Data-driven model reduction and transfer operator approximation

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arXiv 2017年

作者： Klus, Stefan Nüske, Feliks Koltai, Péter Wu, Hao Kevrekidis, Ioannis Schütte, Christof Noé, Frank Department of Mathematics and Computer Science Freie Universität Berlin Germany Department of Chemical and Biological Engineering & Program in Applied and Computational Mathematics Princeton University United States Zuse Institute Berlin Germany

In this review paper, we will present different data-driven dimension reduction techniques for dynamical systems that are based on transfer operator theory as well as methods to approximate transfer operators and their eigenvalues, eigenfunctions, and eigenmodes. The goal is to point out similarities and differences between methods developed independently by the dynamical systems, fluid dynamics, and molecular dynamics communities such as time-lagged independent component analysis (TICA), dynamic mode decomposition (DMD), and their respective generalizations. As a result, extensions and best practices developed for one particular method can be carried over to other related methods. Copyright © 2017, The Authors. All rights reserved.

关键词： Dynamical systems

Correction: Phenotate: crowdsourcing phenotype annotations as exercises in undergraduate classes

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Genetics in medicine : official journal of the American College of Medical Genetics 2020年第8期22卷 1427页

作者： Willie H Chang Pouria Mashouri Alexander X Lozano Brittney Johnstone Mia Husić Annie Olry Sylvie Maiella Tugce B Balci Sarah L Sawyer Peter N Robinson Ana Rath Michael Brudno Centre for Computational Medicine The Hospital For Sick Children Toronto ON Canada. Department of Computer Science Princeton University Princeton NJ USA. Faculty of Medicine University of Toronto Toronto ON Canada. Department of Materials Science & Engineering Stanford University Stanford CA USA. Sunnybrook Health Sciences Centre Toronto ON Canada. Orphanet Institut national de la santé et de la recherche médicale Paris France. Medical Genetics Program of Southwestern Ontario London Health Sciences Centre London ON Canada. Department of Genetics Children's Hospital of Eastern Ontario and Children's Hospital of Eastern Ontario Research Institute University of Ottawa Ottawa ON Canada. The Jackson Laboratory for Genomic Medicine Farmington CT USA. Institute for Systems Genomics University of Connecticut Farmington CT USA. Centre for Computational Medicine The Hospital For Sick Children Toronto ON Canada. brudno@cs.toronto.edu. Department of Computer Science University of Toronto Toronto ON Canada. brudno@cs.toronto.edu. Genetics and Genome Biology Program The Hospital for Sick Children Toronto ON Canada. brudno@cs.toronto.edu. University Health Network Toronto ON Canada. brudno@cs.toronto.edu.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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A New Data-Driven Sparse-Learning Approach to Study Chemical Reaction Networks

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arXiv 2017年

作者： Harirchi, Farshad Kim, Doohyun Khalil, Omar Liu, Sijia Elvati, Paolo Hero, Alfred Violi, Angela Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109-2125 United States Department of Mechanical Engineering University of Michigan Ann ArborMI48109-2125 United States Biophysics Program Departments of Chemical Engineering Biomedical Engineering Macromolecular Science and Engineering University of Michigan Ann ArborMI48109-2125 United States

Chemical kinetic mechanisms can be represented by sets of elementary reactions that are easily translated into mathematical terms using physicochemical relationships. The schematic representation of reactions captures the interactions between reacting species and products. Determining the minimal chemical interactions underlying the dynamic behavior of systems is a major task. In this paper, we introduce a novel approach for the identification of the inuential reactions in chemical reaction networks for combustion applications, using a data-driven sparse-learning technique. The proposed approach identifies a set of inuential reactions using species concentrations and reaction rates, with minimal computational cost without requiring additional data or simulations. The new approach is applied to analyze the combustion chemistry of H2andC3H8in a constant-volume homogeneous reactor. The inuential reactions identified by the sparse-learning method are consistent with the current kinetics knowledge of chemical mechanisms. Additionally, we show that a reduced version of the parent mechanism can be generated as a combination of the inuential reactions identified at different times and conditions and that for both H2andC3H8this reduced mechanism performs closely to the parent mechanism as a function of ignition delay over a wide range of conditions. Our results demonstrate the potential of the sparse-learning approach as an effective and efficient tool for mechanism analysis and mechanism reduction. Copyright © 2017, The Authors. All rights reserved.

关键词： Learning systems