Showing 1–17 of 17 results
/ Date/ Name
May 23, 2000Scaling properties of an inviscid mean-motion fluid modelDec 1, 1995Investigations of a Two-Phase Fluid ModelDec 16, 2021Predicting Shallow Water Dynamics using Echo-State Networks with Transfer LearningFeb 23, 2022A Bayesian Deep Learning Approach to Near-Term Climate PredictionNov 12, 2019Turbulence forecasting via Neural ODEAug 27, 2021Feature Importance in a Deep Learning Climate EmulatorDec 2, 2021High-Precision Inversion of Dynamic Radiography Using Hydrodynamic FeaturesMar 10, 2018Model Structural Inference using Local Dynamic OperatorsMay 22, 2025Using Echo-State Networks to Reproduce Rare Events in Chaotic SystemsMay 20, 2019Leveraging Bayesian Analysis To Improve Accuracy of Approximate ModelsJul 8, 2006Stochastic parameterization for large eddy simulation of geophysical flowsOct 19, 2015Nonlinear Evolution of a Baroclinic Wave and Imbalanced DissipationFeb 27, 2019Improved Representation of Ocean Heat Content in Energy Balance ModelsOct 5, 2012The Equivalence of the Lagrangian-Averaged Navier-Stokes-α Model and the Rational LES model in Two DimensionsApr 15, 2020Interpreting neural network models of residual scalar fluxAug 2, 2024Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networksAug 22, 2024Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography