Acta Mechanica Sinica
THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_PERSPECTIVE
THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_INVITED REVIEW
THEMED PAPERS ON “ARTIFICIAL INTELLIGENCE IN FLUID MECHANICS”_RESEARCH PAPER
- Genetic-algorithm-based artificial intelligence control of a turbulent boundary layer
- Practical framework for data-driven RANS modeling with data augmentation
- Multilayer perceptron neural network activated by adaptive Gaussian radial basis function and its application to predict lid-driven cavity flow
- Deconvolutional artificial-neural-network framework for subfilter-scale models of compressible turbulence
- Bayesian optimization for active flow control
- Aerodynamic modeling using an end-to-end learning attitude dynamics network for flight control
- Data-driven Bayesian inference of turbulence model closure coefficients incorporating epistemic uncertainty