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Showing 1 to 7 of 7 for “"Diffusion map"”.

  1. Study of the Diffusion Map method in the context of social science data sets

    The Diffusion Map is a nonlinear dimensionality reduction technique used to analyze high-dimensional data, with recent applications extending to datasets from the social sciences. Previous research has given little attention to how the specific characteristics of these datasets might influence the …

    potsdam-thes Repository record for Study of the Diffusion Map method in the context of social science data sets (opens in a new tab)

  2. Spectral diffusion map approach for structural health monitoring of wind turbine blades using distributed sensors

    … of the different data sources. We use spectral diffusion map approach for identifying the intrinsic geometry of the data set. In particular, time series data from distributed sensors is used for the construction of diffusion map. The low dimensional embedding of the data set corresponding to …

    iastate Repository record for Spectral diffusion map approach for structural health monitoring of wind turbine blades using distributed sensors (opens in a new tab)

  3. Inverse design of self-assembling colloids via landscape engineering

    … focuses on the development of the many-body diffusion map and its application to the study of self-assembly. Diffusion map dimensionality reduction has shown great promise in the study of the low-dimensional folding landscapes inherent to protein folding. We extend this technique to handle …

    uiuc Repository record for Inverse design of self-assembling colloids via landscape engineering (opens in a new tab)

  4. Design and analysis of particle-based algorithms for nonlinear filtering and sampling

    … sampled from the probability distribution. A diffusion map-based algorithm is presented for this problem. The algorithm is based on a reformulation of the Poisson equation as a fixed-point equation that involves the diffusion semigroup corresponding to the weighted Laplacian. The fixed-point …

    uiuc Repository record for Design and analysis of particle-based algorithms for nonlinear filtering and sampling (opens in a new tab)

  5. Multiscale Analysis of Macromolecular Systems

    … systems. A new multiscale method, Locally Scaled Diffusion Map (LSDMap), has been introduced to extract the optimal collective reaction coordinates from MD data without a priori knowledge of the system. The method decouples motions with different timescales into a set of reaction coordinates, …

    rice Repository record for Multiscale Analysis of Macromolecular Systems (opens in a new tab)

  6. Microscale Energy Transport in Lead Halide Perovskites

    … and develop a framework to quantify carrier diffusion anisotropy and grain boundary effects in optical microscopy measurements. First, we quantify the enhancement due to photon recycling in the macroscale for state-of-the-art perovskite films. We find that even with finite nonradiative …

    mit Repository record for Microscale Energy Transport in Lead Halide Perovskites (opens in a new tab)

  7. Characterization of catalyst pellets using NMR and MRI: MRI, diffusion and relaxation measurements of liquid imbibed in alumina and titania extrudates

    … NMR) methods have been used to measure the self diffusion coefficient of liquid contained within catalyst support pellets. Mass transport in catalyst pellets is often characterized through the tortuosity parameter, which impacts the catalyst effectiveness, though it is difficult to measure and …

    cambridge Repository record for Characterization of catalyst pellets using NMR and MRI: MRI, diffusion and relaxation measurements of liquid imbibed in alumina and titania extrudates (opens in a new tab)