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A phase-field method for boiling heat transfer

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An improved data-free surrogate model for solving partial differential equations using deep neural networks

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Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations

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Topology of corner vortices in the lid-driven cavity flow: 2D vis a vis 3D

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Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems

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Applying physics informed neural network for flow data assimilation

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NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

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The influence of temperature on flow-induced forces on quartz-crystal-microbalance sensors in a Chinese liquor identification electronic-nose: three-dimensional computational fluid dynamics simulation and analysis

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Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

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An entropy-viscosity large eddy simulation study of turbulent flow in a flexible pipe

(2018) Zhicheng Wang et al.   JOURNAL OF FLUID MECHANICS

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

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CFD study of Jet Impingement Test erosion using Ansys Fluent ® and OpenFOAM ®

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Deep learning

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Machine learning: Trends, perspectives, and prospects

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