Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows

Scale invariance in finite Reynolds number homogeneous isotropic turbulence

(2019) L. Djenidi et al.   JOURNAL OF FLUID MECHANICS

Adaptive chemistry lookup tables for combustion simulations using optimal B-spline interpolants

(2019) Mathis Bode et al.   COMBUSTION THEORY AND MODELLING

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

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

Predictions of turbulent shear flows using deep neural networks

(2019) P. A. Srinivasan et al.   Physical Review Fluids

A regularized deconvolution method for turbulent closure modeling in implicitly filtered large-eddy simulation

(2019) Qing Wang et al.   COMBUSTION AND FLAME

Direct mapping from LES resolved scales to filtered-flame generated manifolds using convolutional neural networks

(2019) Andrea Seltz et al.   COMBUSTION AND FLAME

On the self-similarity of line segments in decaying homogeneous isotropic turbulence

(2018) Michael Gauding et al.   COMPUTERS & FLUIDS

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 compact skeletal mechanism for n -dodecane with optimized semi-global low-temperature chemistry for diesel engine simulations

(2017) Tong Yao et al.   FUEL

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A paradigm for data-driven predictive modeling using field inversion and machine learning

(2016) Eric J. Parish et al.   JOURNAL OF COMPUTATIONAL PHYSICS

UNCERTAINTY QUANTIFICATION FOR LIQUID PENETRATION OF EVAPORATING SPRAYS AT DIESEL-LIKE CONDITIONS

(2015) Lyle M. Pickett et al.   ATOMIZATION AND SPRAYS

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

Optimal artificial neural networks and tabulation methods for chemistry representation in LES of a bluff-body swirl-stabilized flame

(2008) Matthias Ihme et al.   PROCEEDINGS OF THE COMBUSTION INSTITUTE