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。Prediction of turbulent heat transfer using convolutional neural networks
Junhyuk Kim et al.
JOURNAL OF FLUID MECHANICS (2020)
Meshfree methods on manifolds for hydrodynamic flows on curved surfaces: A Generalized Moving Least-Squares (GMLS) approach
B. J. Gross et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2020)
Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
Ameya D. Jagtap et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
Deep learning observables in computational fluid dynamics
Kjetil O. Lye et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2020)
nPINNs: Nonlocal physics-informed neural networks for a parametrized nonlocal universal Laplacian operator. Algorithms and applications
G. Pang et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2020)
Dense motion estimation of particle images via a convolutional neural network
Shengze Cai et al.
EXPERIMENTS IN FLUIDS (2019)
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
M. Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Chi Chen et al.
CHEMISTRY OF MATERIALS (2019)
Prediction of aerodynamic flow fields using convolutional neural networks
Saakaar Bhatnagar et al.
COMPUTATIONAL MECHANICS (2019)
Drag coefficient prediction for non-spherical particles in dense gas-solid two-phase flow using artificial neural network
Shengnan Yan et al.
POWDER TECHNOLOGY (2019)
Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties
Tian Xie et al.
PHYSICAL REVIEW LETTERS (2018)
Solving high-dimensional partial differential equations using deep learning
Jiequn Han et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
Network community-based model reduction for vortical flows
Muralikrishnan Gopalakrishnan Meena et al.
PHYSICAL REVIEW E (2018)
Coherent structure colouring: identification of coherent structures from sparse data using graph theory
Kristy L. Schlueter-Kuck et al.
JOURNAL OF FLUID MECHANICS (2017)
Performing particle image velocimetry using artificial neural networks: a proof-of-concept
Jean Rabault et al.
MEASUREMENT SCIENCE AND TECHNOLOGY (2017)
Network-based study of Lagrangian transport and mixing
Kathrin Padberg-Gehle et al.
NONLINEAR PROCESSES IN GEOPHYSICS (2017)
An impulse-based approach to estimating forces in unsteady flow
W. R. Graham et al.
JOURNAL OF FLUID MECHANICS (2017)
Spectral-clustering approach to Lagrangian vortex detection
Alireza Hadjighasem et al.
PHYSICAL REVIEW E (2016)
DOLFIN: Automated Finite Element Computing
Anders Logg et al.
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE (2010)
Gmsh: A 3-D finite element mesh generator with built-in pre- and post-processing facilities
Christophe Geuzaine et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2009)