Showing 1 - 20 results of 10,473 for search '"i-D"', query time: 0.32s Refine Results
  1. 1

    Spin polarised quantum conductance in 1D channels by Henry Montagu, Ian Farrer, David Ritchie, Sanjeev Kumar

    Published 2025-01-01
    “…The 1D devices were fabricated using standard lithography techniques consisting of split gates, and a custom-designed back gate allows for the modulation of carrier density within the 1D channel. …”
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  2. 2

    Incommensurable matter-wave jets in quasi-1D geometry by Tadej Mežnaršič, Rok Žitko, Katja Gosar, Jure Pirman, Katja Arh, Matevž Jug, Erik Zupanič, Peter Jeglič

    Published 2025-02-01
    “…We study the formation of higher-order jets in quasi-one-dimensional geometry with numerical one dimensional (1D) Gross-Pitaevskii equation simulation. We explore the process of jet formation experimentally and theoretically for a wide range of modulation amplitudes and frequencies and establish a phase diagram delineating different regimes of jet formation. …”
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    The Missing Heritability in T1D and Potential New Targets for Prevention by Brian G. Pierce, Ryan Eberwine, Janelle A. Noble, Michael Habib, Hennady P. Shulha, Zhiping Weng, Elizabeth P. Blankenhorn, John P. Mordes

    Published 2013-01-01
    “…Type 1 diabetes (T1D) is a T cell-mediated disease. It is strongly associated with susceptibility haplotypes within the major histocompatibility complex, but this association accounts for an estimated 50% of susceptibility. …”
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    Off-shell unimodular N = 1, d = 4 supergravity by Jesus Anero, Carmelo P. Martin, Raquel Santos-Garcia

    Published 2020-01-01
    “…Abstract We formulate a unimodular N = 1, d = 4 supergravity theory off shell. We see that the infinitesimal Grassmann parameters defining the unimodular supergravity trans- formations are constrained and show that the conmutator of two infinitesinal unimodular supergravity transformations closes on transverse diffeomorphisms, Lorentz transforma- tions and unimodular supergravity transformations. …”
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  7. 7

    Gapped phases with non-invertible symmetries: (1+1)d by Lakshya Bhardwaj, Lea E. Bottini, Daniel Pajer, Sakura Schafer-Nameki

    Published 2025-01-01
    “…In this paper we focus on (1+1)d gapped phases with fusion category symmetries. …”
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  8. 8

    Analytical Solution to 1D Compressible Navier-Stokes Equations by Changsheng Dou, Zishu Zhao

    Published 2021-01-01
    “…There exist complex behavior of the solution to the 1D compressible Navier-Stokes equations in half space. …”
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  9. 9

    Study of 1D Strange Charmed Meson Family Using HQET by Pallavi Gupta, A. Upadhyay

    Published 2016-01-01
    “…To appreciate the above results, we check the variation of decay modes for their spin partners states, that is, 1D2 and 1D2′, with their masses and strong coupling constant, that is, gxh and gyh. …”
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    Modelling Hydrology of a Single Bioretention System with HYDRUS-1D by Yingying Meng, Huixiao Wang, Jiangang Chen, Shuhan Zhang

    Published 2014-01-01
    “…The hydrologic performance was simulated for two bioretention cells using HYDRUS-1D, and the simulation results were verified by field data of nearly four years. …”
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    TRAPPIST-1 d: Exo-Venus, Exo-Earth, or Exo-Dead? by M. J. Way

    Published 2025-01-01
    “…TRAPPIST-1 d is generally assumed to be at the boundary between a Venus-like world and an Earth-like world, although recently published works on TRAPPIST-1 b and c raise concerns that TRAPPIST-1 d may be similarly devoid of a substantial atmosphere. …”
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  16. 16

    A posteriori Variational Multiscale Methods for the 1D convection-diffusion equations by Chacón Rebollo, Tomás, Domínguez-Delgado, Antonio, Gómez Marmol, Macarena

    Published 2023-06-01
    “…It is devoted to the solution of 1D convection-diffusion equations in dominant convection regime situations. …”
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    Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis by Jun He, Xiang Li, Yong Chen, Danfeng Chen, Jing Guo, Yan Zhou

    Published 2021-01-01
    “…To solve the problem, we propose a deep transfer learning method based on 1D-CNN for rolling bearing fault diagnosis. First, 1-dimension convolutional neural network (1D-CNN), as the basic framework, is used to extract features from vibration signal. …”
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