Showing 1–12 of 12 results
/ Date/ Name
May 1, 2025Compressing fluid flows with nonlinear machine learning: mode decomposition, latent modeling, and flow controlJan 26, 2023Super-Resolution Analysis via Machine Learning: A Survey for Fluid FlowsSep 16, 2021Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regressionMar 16, 2021Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networksJan 3, 2021Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learningDec 16, 2020Probabilistic neural network-based reduced-order surrogate for fluid flowsNov 20, 2020Model order reduction with neural networks: Application to laminar and turbulent flowsOct 26, 2020Convolutional neural network and long short-term memory based reduced order surrogate for minimal turbulent channel flowOct 23, 2020Sparse identification of nonlinear dynamics with low-dimensionalized flow representationsJun 12, 2020Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field dataApr 24, 2020Machine learning based spatio-temporal super resolution reconstruction of turbulent flowsJan 27, 2020Assessment of supervised machine learning methods for fluid flows