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。Turbulence Modeling in the Age of Data
Karthik Duraisamy et al.
ANNUAL REVIEW OF FLUID MECHANICS, VOL 51 (2019)
Deep learning of mixing by two 'atoms' of stratified turbulence
Hesam Salehipour et al.
JOURNAL OF FLUID MECHANICS (2019)
Single Image Super-Resolution Based on Multi-Scale Competitive Convolutional Neural Network
Xiaofeng Du et al.
SENSORS (2018)
Extreme learning machine for reduced order modeling of turbulent geophysical flows
Omer San et al.
PHYSICAL REVIEW E (2018)
A neural network approach for the blind deconvolution of turbulent flows
R. Maulik et al.
JOURNAL OF FLUID MECHANICS (2017)
RAISR: Rapid and Accurate Image Super Resolution
Yaniv Romano et al.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING (2017)
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2016)
Network structure of two-dimensional decaying isotropic turbulence
Kunihiko Taira et al.
JOURNAL OF FLUID MECHANICS (2016)
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Julia Ling et al.
JOURNAL OF FLUID MECHANICS (2016)
A fast immersed boundary method using a nullspace approach and multi-domain far-field boundary conditions
Tim Colonius et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2008)
The immersed boundary method: A projection approach
Kunihiko Taira et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2007)