A Surrogate Model for Shallow Water Equations Solvers with Deep Learning

Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next

(2022) Salvatore Cuomo et al.   JOURNAL OF SCIENTIFIC COMPUTING

Differentiable, Learnable, Regionalized Process‐Based Models With Multiphysical Outputs can Approach State‐Of‐The‐Art Hydrologic Prediction Accuracy

(2022) Dapeng Feng et al.   WATER RESOURCES RESEARCH

Application of deep learning to large scale riverine flow velocity estimation

(2021) Mojtaba Forghani et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Perspectives on machine learning-augmented Reynolds-averaged and large eddy simulation models of turbulence

(2021) Karthik Duraisamy   Physical Review Fluids

From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling

(2021) Wen-Ping Tsai et al.   Nature Communications

Deep learning technique for fast inference of large-scale riverine bathymetry

(2020) Hojat Ghorbanidehno et al.   ADVANCES IN WATER RESOURCES

Machine learning methods for turbulence modeling in subsonic flows around airfoils

(2019) Linyang Zhu et al.   PHYSICS OF FLUIDS

Fast flow field prediction over airfoils using deep learning approach

(2019) Vinothkumar Sekar et al.   PHYSICS OF FLUIDS

Prediction of aerodynamic flow fields using convolutional neural networks

(2019) Saakaar Bhatnagar et al.   COMPUTATIONAL MECHANICS

Hydrodynamic shape optimization by high fidelity CFD solver and Gaussian process based response surface method

(2019) Antonio Coppedè et al.   APPLIED OCEAN RESEARCH

Physics-informed neural networks for high-speed flows

(2019) Zhiping Mao et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

(2018) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Hidden physics models: Machine learning of nonlinear partial differential equations

(2018) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Riverine Bathymetry Imaging With Indirect Observations

(2018) Jonghyun Lee et al.   WATER RESOURCES RESEARCH

Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework

(2018) Jin-Long Wu et al.   Physical Review Fluids

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

(2018) M. Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Numerical Evaluation of AASHTO Drag Force Coefficients of Water Flow Around Bridge Piers

(2017) Amin Almasri et al.   JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY-TRANSACTIONS OF THE ASME

Deep learning

(2015) Yann LeCun et al.   NATURE

Design optimization using hyper-reduced-order models

(2014) David Amsallem et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification

(2013) Ilias Bilionis et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Multi-output local Gaussian process regression: Applications to uncertainty quantification

(2012) Ilias Bilionis et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Coupled 1D and Noninertia 2D Flood Inundation Model for Simulation of Urban Flooding

(2012) Solomon Dagnachew Seyoum et al.   JOURNAL OF HYDRAULIC ENGINEERING

Calibration and Verification of a 2D Hydrodynamic Model for Simulating Flow around Emergent Bendway Weir Structures

(2010) A. N. (Thanos) Papanicolaou et al.   JOURNAL OF HYDRAULIC ENGINEERING

Reduced Order Model Based on Principal Component Analysis for Process Simulation and Optimization†

(2009) Yi-dong Lang et al.   ENERGY & FUELS

Two-Dimensional Depth-Averaged Flow Modeling with an Unstructured Hybrid Mesh

(2009) Yong G. Lai   JOURNAL OF HYDRAULIC ENGINEERING

Two-dimensional scour simulations based on coupled model of shallow water equations and sediment transport on unstructured meshes

(2008) X. Liu et al.   COASTAL ENGINEERING