THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_PERSPECTIVE

1. Artificial intelligence in fluid mechanics

THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_INVITED REVIEW

1. Applying machine learning to study fluid mechanics
2. Physics-informed neural networks (PINNs) for fluid mechanics:a review

THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_RESEARCH PAPER

1. Genetic-algorithm-based artificial intelligence control of a turbulent boundary layer
2. Practical framework for data-driven RANS modeling with data augmentation
3. Multilayer perceptron neural network activated by adaptive Gaussian radial basis function and its application to predict lid-driven cavity flow
4. Deconvolutional artificial-neural-network framework for subfilter-scale models of compressible turbulence
5. Bayesian optimization for active flow control
6. Aerodynamic modeling using an end-to-end learning attitude dynamics network for flight control
7. Data-driven Bayesian inference of turbulence model closure coefficients incorporating epistemic uncertainty

CORRECTION

1. Correction to:Large deformation plasticity
2. Correction to:Practical framework for data-driven RANS modeling with data augmentation

1. A SHORT BIOGRAPHY (Editors)
2. Graphical Abstract Acta Mechanica Sinica,Vol 37,Issue 12,December 2021
3. 把论文写在祖国大地上
4. Chinese Journal of Theoretical and Applied Mechanics(Monthly) Vol.54，No.1，2022 CONTENTS
5. Acta Mechanica Sinica