JAX-Fluids: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

A parallel modular computing environment for three-dimensional multiresolution simulations of compressible flows

(2022) Nils Hoppe et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Consistent and symmetry preserving data-driven interface reconstruction for the level-set method

(2022) Aaron B. Buhendwa et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Machine learning–accelerated computational fluid dynamics

(2021) Dmitrii Kochkov et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A data-driven physics-informed finite-volume scheme for nonclassical undercompressive shocks

(2021) Deniz A. Bezgin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Learned discretizations for passive scalar advection in a two-dimensional turbulent flow

(2021) Jiawei Zhuang et al.   Physical Review Fluids

Fast, Cheap, and Turbulent—Global Ocean Modeling With GPU Acceleration in Python

(2021) Dion Häfner et al.   Journal of Advances in Modeling Earth Systems

ALPACA - a level-set based sharp-interface multiresolution solver for conservation laws

(2021) Nils Hoppe et al.   COMPUTER PHYSICS COMMUNICATIONS

WENO3-NN: A maximum-order three-point data-driven weighted essentially non-oscillatory scheme

(2021) Deniz A. Bezgin et al.   JOURNAL OF COMPUTATIONAL PHYSICS

ZEFR: A GPU-accelerated high-order solver for compressible viscous flows using the flux reconstruction method

(2020) J. Romero et al.   COMPUTER PHYSICS COMMUNICATIONS

Enhancement of shock-capturing methods via machine learning

(2020) Ben Stevens et al.   THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS

Special issue on machine learning and data-driven methods in fluid dynamics

(2020) Steven L. Brunton et al.   THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS

Array programming with NumPy

(2020) Charles R. Harris et al.   NATURE

A shock-stable modification of the HLLC Riemann solver with reduced numerical dissipation

(2020) Nico Fleischmann et al.   JOURNAL OF COMPUTATIONAL PHYSICS

DPM: A deep learning PDE augmentation method with application to large-eddy simulation

(2020) Justin Sirignano et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Learning data-driven discretizations for partial differential equations

(2019) Yohai Bar-Sinai et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The HLLC Riemann solver

(2019) E. F. Toro   SHOCK WAVES

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Computing interface curvature from volume fractions: A machine learning approach

(2019) H.V. Patel et al.   COMPUTERS & FLUIDS

Perspective on machine learning for advancing fluid mechanics

(2019) M. P. Brenner et al.   Physical Review Fluids

Deep neural networks for data-driven LES closure models

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

Turbulence Modeling in the Age of Data

(2018) Karthik Duraisamy et al.   Annual Review 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

A family of high-order targeted ENO schemes for compressible-fluid simulations

(2016) Lin Fu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

An improved WENO-Z scheme

(2016) F. Acker et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

(2016) Steven L. Brunton et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The quiet revolution of numerical weather prediction

(2015) Peter Bauer et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Human-level concept learning through probabilistic program induction

(2015) B. M. Lake et al.   SCIENCE

Finite-volume WENO scheme for viscous compressible multicomponent flows

(2014) Vedran Coralic et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Subgrid-scale modeling for implicit large eddy simulation of compressible flows and shock-turbulence interaction

(2014) Stefan Hickel et al.   PHYSICS OF FLUIDS

Direct numerical simulation of turbulence using GPU accelerated supercomputers

(2012) Ali Khajeh-Saeed et al.   JOURNAL OF COMPUTATIONAL PHYSICS

The NumPy Array: A Structure for Efficient Numerical Computation

(2011) Stéfan van der Walt et al.   COMPUTING IN SCIENCE & ENGINEERING

Scale separation for implicit large eddy simulation

(2011) X.Y. Hu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Review of computational fluid dynamics for wind turbine wake aerodynamics

(2011) B. Sanderse et al.   WIND ENERGY

Multiresolution algorithms for the numerical solution of hyperbolic conservation laws

(2010) Ami Harten   COMMUNICATIONS ON PURE AND APPLIED MATHEMATICS

An adaptive central-upwind weighted essentially non-oscillatory scheme

(2010) X.Y. Hu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Roofline

(2009) Samuel Williams et al.   COMMUNICATIONS OF THE ACM

A front-tracking/ghost-fluid method for fluid interfaces in compressible flows

(2009) Hiroshi Terashima et al.   JOURNAL OF COMPUTATIONAL PHYSICS

An improved weighted essentially non-oscillatory scheme for hyperbolic conservation laws

(2008) Rafael Borges et al.   JOURNAL OF COMPUTATIONAL PHYSICS