Showing 1–13 of 13 results
/ Date/ Name
Jun 21, 2021Prediction of three-dimensional flood-flow past bridge piers in a large-scale meandering river using convolutional neural networksMar 5, 2021Three-dimensional realizations of flood flow in large-scale rivers using the neural fuzzy-based machine-learning algorithmJun 16, 2022On the morphodynamics of a wide class of large-scale meandering rivers: Insights gained by coupling LES with sediment-dynamicsNov 6, 2020Fluid dynamics simulations show that facial masks can suppress the spread of COVID-19 in indoor environmentsMar 3, 2021Eulerian numerical modeling of contaminant transport in Lower Manhattan, New York City, from a point-source release under the dominant wind condition: Insights gained via LESApr 11, 2024Toward ultra-efficient high fidelity predictions of wind turbine wakes: Augmenting the accuracy of engineering models via LES-trained machine learningApr 15, 2021A computational study of expiratory particle transport and vortex dynamics during breathing with and without face masksOct 16, 2025Computational study of vertical-axis MHK turbines using a coupled flow-sediment-turbine modeling approachSep 9, 2025Wind farm layout optimization using a novel machine learning approachAug 6, 2025On the interaction of fish and marine hydrokinetic turbines: Insights gained through experimental and computational observationsMar 28, 2025Large eddy simulation of a utility-scale vertical-axis marine hydrokinetic turbine under live-bed conditionsJul 25, 2024Toward ultra-efficient high-fidelity prediction of bed morphodynamics of large-scale meandering rivers using a novel LES-trained machine learning approachApr 30, 2021Uncertainty Quantification of Large-Eddy Simulation Results of Riverine Flows: A Field and Numerical Study