Nonlinear Effect

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Min Qiu - One of the best experts on this subject based on the ideXlab platform.

  • large third order Nonlinear refractive index coefficient based on gold nanoparticle aggregate films
    Applied Physics Letters, 2015
    Co-Authors: Songang Bai, Han Zhang, Xingxing Chen, Si Luo, Hanmo Gong, Yuanqing Yang, Ding Zhao, Min Qiu
    Abstract:

    Au nanoparticles show large third-order Nonlinear Effect and ultra-fast response. Here a high Nonlinear aggregate film based on self-assembled gold nanoparticles is reported and its third-order Nonlinear refractive index coefficient is measured by Z-scan experiment. The third-order Nonlinear refractive index coefficient of the Au nanoparticle aggregate film (γ1 = 9.2 × 10−9 cm2/W) is found to be larger than that of an 8-nm-thick sputtered Au film (γ2 = 6.5 × 10−9 cm2/W). This large Nonlinear Effect can be attributed to the strong field enhancement due to localized plasmon resonances between Au nanoparticles. The result shows that the self-assembled Au nanoparticle aggregate film could be a promising candidate as a third-order Nonlinear optical material.

  • optically tunable delay line in silicon microring resonator based on thermal Nonlinear Effect
    IEEE Journal of Selected Topics in Quantum Electronics, 2008
    Co-Authors: Fangfei Liu, Ziyang Zhang, Min Qiu
    Abstract:

    We experimentally demonstrate optically tunable delay line in a silicon microring resonator with a 20- m radius. The delay-tuning mechanism is based on the red shift of the resonance induced by thermal Nonlinear Effect. We investigate the delay performance of three modulation formats-non-return-to-zero (NRZ), return-to-zero (RZ), and differential phase-shift keying (DPSK) signals at different data rates. Tunable delay is achieved by controlling the power of the continuous-wave (CW) pump with very low tuning threshold, which could be used in microring-resonator-based slow-light structure.

  • system performance of slow light buffering and storage in silicon nano waveguide
    Proceedings of SPIE, 2007
    Co-Authors: Fangfei Liu, Ziyang Zhang, Min Qiu
    Abstract:

    We experimentally demonstrate optically tunable buffer in a nano-scale silicon microring resonator with a 20-µm radius. The delay-tuning mechanism is based on the red shift of the resonance induced by the thermal Nonlinear Effect. We use a non-return-to-zero (NRZ) pseudo random bit sequence (PRBS) signal with different data rates as the probe signal, and investigate its delay performance under different pump powers.

B U Felderhof - One of the best experts on this subject based on the ideXlab platform.

Brent A Coull - One of the best experts on this subject based on the ideXlab platform.

  • robust hypothesis test for Nonlinear Effect with gaussian processes
    arXiv: Machine Learning, 2017
    Co-Authors: Jeremiah Zhe Liu, Brent A Coull
    Abstract:

    This work constructs a hypothesis test for detecting whether an data-generating function $h: R^p \rightarrow R$ belongs to a specific reproducing kernel Hilbert space $\mathcal{H}_0$ , where the structure of $\mathcal{H}_0$ is only partially known. Utilizing the theory of reproducing kernels, we reduce this hypothesis to a simple one-sided score test for a scalar parameter, develop a testing procedure that is robust against the mis-specification of kernel functions, and also propose an ensemble-based estimator for the null model to guarantee test performance in small samples. To demonstrate the utility of the proposed method, we apply our test to the problem of detecting Nonlinear interaction between groups of continuous features. We evaluate the finite-sample performance of our test under different data-generating functions and estimation strategies for the null model. Our results reveal interesting connections between notions in machine learning (model underfit/overfit) and those in statistical inference (i.e. Type I error/power of hypothesis test), and also highlight unexpected consequences of common model estimating strategies (e.g. estimating kernel hyperparameters using maximum likelihood estimation) on model inference.

  • robust hypothesis test for Nonlinear Effect with gaussian processes
    Neural Information Processing Systems, 2017
    Co-Authors: Jeremiah Zhe Liu, Brent A Coull
    Abstract:

    This work constructs a hypothesis test for detecting whether an data-generating function $h: \real^p \rightarrow \real$ belongs to a specific reproducing kernel Hilbert space $\mathcal{H}_0$, where the structure of $\mathcal{H}_0$ is only partially known. Utilizing the theory of reproducing kernels, we reduce this hypothesis to a simple one-sided score test for a scalar parameter, develop a testing procedure that is robust against the mis-specification of kernel functions, and also propose an ensemble-based estimator for the null model to guarantee test performance in small samples. To demonstrate the utility of the proposed method, we apply our test to the problem of detecting Nonlinear interaction between groups of continuous features. We evaluate the finite-sample performance of our test under different data-generating functions and estimation strategies for the null model. Our results revealed interesting connection between notions in machine learning (model underfit/overfit) and those in statistical inference (i.e. Type I error/power of hypothesis test), and also highlighted unexpected consequences of common model estimating strategies (e.g. estimating kernel hyperparameters using maximum likelihood estimation) on model inference.

Xueming Liu - One of the best experts on this subject based on the ideXlab platform.

  • optical bistability in metal insulator metal plasmonic waveguide with nanodisk resonator containing kerr Nonlinear medium
    Applied Optics, 2011
    Co-Authors: Guoxi Wang, Yongkang Gong, Xueming Liu, Leiran Wang
    Abstract:

    We numerically investigate the optical bistability Effect in the metal-insulator-metal waveguide with a nanodisk resonator containing a Kerr Nonlinear medium. It is found that the increase of the refractive index, which is induced by enhancing the incident intensity, can cause a redshift for the resonance wavelength. The local resonant field excited in the nanodisk cavity can significantly increase the Kerr Nonlinear Effect. In addition, an obvious bistability loop is observed in the proposed structure. This Nonlinear structure can find important applications for all-optical switching in highly integrated optical circuits.

  • Highly flexible all-optical metamaterial absorption switching assisted by Kerr-Nonlinear Effect
    Optics Express, 2011
    Co-Authors: Yongkang Gong, Leirang Wang, Jinxin Fu, Yuhui Chen, Guoxi Wang, Zhiyuan Li, Hua Lu, Xueming Liu
    Abstract:

    A three-dimensional metamaterial nanostructure for realizing all-optical absorption switching is proposed and investigated. The structure consists of dual metallic layers for allowing near-perfect absorption due to electric and magnetic resonances, and a Nonlinear Kerr-dielectric layer for actively manipulating the nanostructure absorption. The finite-difference time-domain simulation results demonstrate that, by adjusting the incident optical intensity, the metamaterial absorption can be flexibly tuned from near unity to zero. The all-optical absorption switching structure can find potential applications in actively integrated photonic circuits for thermal sensing, photo detecting, and optical imaging.

A J Masters - One of the best experts on this subject based on the ideXlab platform.