A point-cloud deep learning framework for prediction of fluid flow fields on irregular geometries

Flows over periodic hills of parameterized geometries: A dataset for data-driven turbulence modeling from direct simulations

(2020) Heng Xiao et al.   COMPUTERS & FLUIDS

A Coarse Grid Projection Method for Accelerating Free and Forced Convection Heat Transfer Computations

(2020) Ali Kashefi   Results in Mathematics

Physics-informed neural networks for inverse problems in nano-optics and metamaterials

(2020) Yuyao Chen et al.   OPTICS EXPRESS

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

(2020) Ameya D. Jagtap et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Fast pressure distribution prediction of airfoils using deep learning

(2020) Xinyu Hui et al.   AEROSPACE SCIENCE AND TECHNOLOGY

CNN-LSTM based reduced order modeling of two-dimensional unsteady flows around a circular cylinder at different Reynolds numbers

(2020) Kazuto Hasegawa et al.   FLUID DYNAMICS RESEARCH

Generalizability of Convolutional Encoder-Decoder Networks for Aerodynamic Flow-field Prediction Across Geometric and Physical- Fluidic Variations

(2020) Kaustubh Mahesh Tangsali et al.   JOURNAL OF MECHANICAL DESIGN

Unsteady reduced-order model of flow over cylinders based on convolutional and deconvolutional neural network structure

(2020) Jiang-Zhou Peng et al.   PHYSICS OF FLUIDS

Integrated analysis of CFD simulation data with K-means clustering algorithm for soot formation under varied combustion conditions

(2019) Wenbin Yu et al.   APPLIED THERMAL ENGINEERING

Coarse Grid Projection Methodology: A Partial Mesh Refinement Tool for Incompressible Flow Simulations

(2019) Ali Kashefi   Bulletin of the Iranian Mathematical Society

Training convolutional neural networks to estimate turbulent sub-grid scale reaction rates

(2019) Corentin J. Lapeyre et al.   COMBUSTION AND FLAME

Super-resolution reconstruction of turbulent flows with machine learning

(2019) Kai Fukami et al.   JOURNAL OF FLUID MECHANICS

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

Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks

(2019) Zhenguo Nie et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Flow past a rectangular cylinder close to a free surface

(2019) Wenjie Zhong et al.   OCEAN ENGINEERING

Dynamic Graph CNN for Learning on Point Clouds

(2019) Yue Wang et al.   ACM TRANSACTIONS ON GRAPHICS

Deep Learning Methods for Reynolds-Averaged Navier–Stokes Simulations of Airfoil Flows

(2019) Nils Thuerey et al.   AIAA JOURNAL

A two-dimensional analytical model of vertical water entry for asymmetric bodies with flow separation

(2019) Romain Hascoët et al.   APPLIED OCEAN RESEARCH

Matrix-free multigrid block-preconditioners for higher order discontinuous Galerkin discretisations

(2019) Peter Bastian et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Prediction of turbulent heat transfer using convolutional neural networks

(2019) Junhyuk Kim et al.   JOURNAL OF FLUID MECHANICS

Physics-informed neural networks for high-speed flows

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

Deep neural networks for data-driven LES closure models

(2019) Andrea Beck et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder

(2018) Xiaowei Jin et al.   PHYSICS OF FLUIDS

Turbulence Modeling in the Age of Data

(2018) Karthik Duraisamy et al.   Annual Review of Fluid Mechanics

Subgrid modelling for two-dimensional turbulence using neural networks

(2018) R. Maulik 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

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

On the numerical modeling of convection-diffusion problems by finite element multigrid preconditioning methods

(2014) Christos K. Filelis-Papadopoulos et al.   ADVANCES IN ENGINEERING SOFTWARE

High performance parallel computing of flows in complex geometries

(2011) Laurent Y.M. Gicquel et al.   COMPTES RENDUS MECANIQUE

High performance computing using MPI and OpenMP on multi-core parallel systems

(2011) Haoqiang Jin et al.   PARALLEL COMPUTING

Design of a massively parallel CFD code for complex geometries

(2010) Vincent Moureau et al.   COMPTES RENDUS MECANIQUE

Flow past a square cylinder at low Reynolds numbers

(2010) Subhankar Sen et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities

(2009) Christophe Geuzaine et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING