Microstructure-informed probability-driven point-particle model for hydrodynamic forces and torques in particle-laden flows

Resolved simulations of sedimenting suspensions of spheres

(2019) Daniel P. Willen et al.   Physical Review Fluids

Predictive large-eddy-simulation wall modeling via physics-informed neural networks

(2019) X. I. A. Yang et al.   Physical Review Fluids

A hybrid point-particle force model that combines physical and data-driven approaches

(2019) W.C. Moore et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Big data: the end of the scientific method?

(2019) Sauro Succi et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Fast flow field prediction over airfoils using deep learning approach

(2019) Vinothkumar Sekar et al.   PHYSICS OF FLUIDS

A Massively-Parallel, Unstructured Overset Method To Simulate Moving Bodies in Turbulent Flows

(2019) Wyatt James Horne et al.   JOURNAL OF COMPUTATIONAL PHYSICS

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

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Resolved particle simulations using the Physalis method on many GPUs

(2019) Daniel P. Willen et al.   COMPUTER PHYSICS COMMUNICATIONS

Deep neural networks for data-driven LES closure models

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

A stochastic formulation for the drag force based on multiscale numerical simulation of fluidized beds

(2018) Amir Esteghamatian et al.   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

Hidden physics models: Machine learning of nonlinear partial differential equations

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

Clustering and increased settling speed of oblate particles at finite Reynolds number

(2018) Walter Fornari et al.   JOURNAL OF FLUID MECHANICS

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

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

Turbulence Modeling in the Age of Data

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

Fast and stable multivariate kernel density estimation by fast sum updating

(2018) Nicolas Langrené et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Deep learning of vortex-induced vibrations

(2018) Maziar Raissi et al.   JOURNAL OF FLUID MECHANICS

Data-driven deconvolution for large eddy simulations of Kraichnan turbulence

(2018) R. Maulik et al.   PHYSICS OF FLUIDS

Neural-network-based filtered drag model for gas-particle flows

(2018) Yundi Jiang et al.   POWDER TECHNOLOGY

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

Micro/meso simulation of a fluidized bed in a homogeneous bubbling regime

(2017) Amir Esteghamatian et al.   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

Pairwise-interaction extended point-particle model for particle-laden flows

(2017) G. Akiki et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Direct numerical simulations and experiments of a pseudo-2D gas-fluidized bed

(2016) Y. Tang et al.   CHEMICAL ENGINEERING SCIENCE

Wake of two interacting circular cylinders: A review

(2016) Yu Zhou et al.   INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

(2016) Julia Ling et al.   JOURNAL OF FLUID MECHANICS

Big data need big theory too

(2016) Peter V. Coveney et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

DEM/CFD-DEM Modelling of Non-spherical Particulate Systems: Theoretical Developments and Applications

(2016) Wenqi Zhong et al.   POWDER TECHNOLOGY

Force variation within arrays of monodisperse spherical particles

(2016) G. Akiki et al.   Physical Review Fluids

Two spheres sedimentation dynamics in a viscous liquid column

(2015) S.M. Dash et al.   COMPUTERS & FLUIDS

Accuracy of Finite Volume/Staggered Grid Distributed Lagrange Multiplier/Fictitious Domain simulations of particulate flows

(2015) Anthony Wachs et al.   COMPUTERS & FLUIDS

Drag correlation for dilute and moderately dense fluid-particle systems using the lattice Boltzmann method

(2015) Simon Bogner et al.   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

Deep learning

(2015) Yann LeCun et al.   NATURE

Using statistical learning to close two-fluid multiphase flow equations for a simple bubbly system

(2015) Ming Ma et al.   PHYSICS OF FLUIDS

Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty

(2015) J. Ling et al.   PHYSICS OF FLUIDS

A new drag correlation from fully resolved simulations of flow past monodisperse static arrays of spheres

(2014) Y. (Yali) Tang et al.   AICHE JOURNAL

Direct numerical simulation of finite sized particles settling for high Reynolds number and dilute suspension

(2014) Ali Abbas Zaidi et al.   INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW

Sedimentation of a dilute suspension of rigid spheres at intermediate Galileo numbers: the effect of clustering upon the particle motion

(2014) Markus Uhlmann et al.   JOURNAL OF FLUID MECHANICS

Fully resolved simulation of a gas-fluidized bed: A critical test of DEM models

(2013) S.H.L. Kriebitzsch et al.   CHEMICAL ENGINEERING SCIENCE

Direct numerical simulation of horizontal open channel flow with finite-size, heavy particles at low solid volume fraction

(2013) Aman G Kidanemariam et al.   NEW JOURNAL OF PHYSICS

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

An Euler–Lagrange strategy for simulating particle-laden flows

(2012) Jesse Capecelatro et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Lagrangian–Eulerian methods for multiphase flows

(2012) Shankar Subramaniam   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Drag law for monodisperse gas–solid systems using particle-resolved direct numerical simulation of flow past fixed assemblies of spheres

(2011) S. Tenneti et al.   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

PeliGRIFF, a parallel DEM-DLM/FD direct numerical simulation tool for 3D particulate flows

(2010) Anthony Wachs   JOURNAL OF ENGINEERING MATHEMATICS

Lattice-Boltzmann Method for Complex Flows

(2009) Cyrus K. Aidun et al.   Annual Review of Fluid Mechanics

A scaling analysis for point–particle approaches to turbulent multiphase flows

(2009) S. Balachandar   INTERNATIONAL JOURNAL OF MULTIPHASE FLOW

Numerical Simulation of Dense Gas-Solid Fluidized Beds: A Multiscale Modeling Strategy

(2008) M.A. van der Hoef et al.   Annual Review of Fluid Mechanics

Velocity fluctuations and hydrodynamic diffusion in finite-Reynolds-number sedimenting suspensions

(2008) Xiaolong Yin et al.   PHYSICS OF FLUIDS