相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Interpreting neural network models of residual scalar flux
G. D. Portwood et al.
JOURNAL OF FLUID MECHANICS (2021)
Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows
Mathis Bode et al.
PROCEEDINGS OF THE COMBUSTION INSTITUTE (2021)
A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence
Suraj Pawar et al.
THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS (2020)
Analysis of the dissipative range of the energy spectrum in grid turbulence and in direct numerical simulations
Anastasiia Gorbunova et al.
PHYSICAL REVIEW FLUIDS (2020)
Modeling subgrid-scale forces by spatial artificial neural networks in large eddy simulation of turbulence
Chenyue Xie et al.
PHYSICAL REVIEW FLUIDS (2020)
Turbulence Modeling in the Age of Data
Karthik Duraisamy et al.
ANNUAL REVIEW OF FLUID MECHANICS, VOL 51 (2019)
Training convolutional neural networks to estimate turbulent sub-grid scale reaction rates
Corentin J. Lapeyre et al.
COMBUSTION AND FLAME (2019)
Subgrid modelling for two-dimensional turbulence using neural networks
R. Maulik et al.
JOURNAL OF FLUID MECHANICS (2019)
Deep neural networks for data-driven LES closure models
Andrea Beck et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Applications of Deep Learning to Ocean Data Inference and Subgrid Parameterization
Thomas Bolton et al.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2019)
Artificial neural network approach to large-eddy simulation of compressible isotropic turbulence
Chenyue Xie et al.
PHYSICAL REVIEW E (2019)
Subgrid-scale scalar flux modelling based on optimal estimation theory and machine-learning procedures
A. Vollant et al.
JOURNAL OF TURBULENCE (2017)
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
Konstantinos Kamnitsas et al.
MEDICAL IMAGE ANALYSIS (2017)
Searching for turbulence models by artificial neural network
Masataka Gamahara et al.
PHYSICAL REVIEW FLUIDS (2017)
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
Turker Ince et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Machine learning strategies for systems with invariance properties
Julia Ling et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2016)
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Julia Ling et al.
JOURNAL OF FLUID MECHANICS (2016)
A posteriori analysis of low-pass spatial filters for approximate deconvolution large eddy simulations of homogeneous incompressible flows
O. San et al.
INTERNATIONAL JOURNAL OF COMPUTATIONAL FLUID DYNAMICS (2015)
Hybrid spectral-particle method for the turbulent transport of a passive scalar
J. -B. Lagaert et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2014)
A dynamic regularized gradient model of the subgrid-scale scalar flux for large eddy simulations
G. Balarac et al.
PHYSICS OF FLUIDS (2013)
Development of a new dynamic procedure for the Clark model of the subgrid-scale scalar flux using the concept of optimal estimator
Y. Fabre et al.
PHYSICS OF FLUIDS (2011)
Development of a dynamic model for the subfilter scalar variance using the concept of optimal estimators
G. Balarac et al.
PHYSICS OF FLUIDS (2008)
Analysis of the gradient-diffusion hypothesis in large-eddy simulations based on transport equations
Carlos B. da Silva et al.
PHYSICS OF FLUIDS (2007)
Linear forcing in numerical simulations of isotropic turbulence: Physical space implementations and convergence properties
C Rosales et al.
PHYSICS OF FLUIDS (2005)
A new metric for probability distributions
DM Endres et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2003)