| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Aerodynamic modeling using an end-to-end learning attitude dynamics network for flight control
|
Zhao, Tun
|
|
|
37 |
12 |
p. 1799-1811
|
artikel
|
| 2 |
Applying machine learning to study fluid mechanics
|
Brunton, Steven L.
|
|
|
37 |
12 |
p. 1718-1726
|
artikel
|
| 3 |
Artificial intelligence in fluid mechanics
|
Zhang, Wei-Wei
|
|
|
37 |
12 |
p. 1715-1717
|
artikel
|
| 4 |
Bayesian optimization for active flow control
|
Blanchard, Antoine B.
|
|
|
37 |
12 |
p. 1786-1798
|
artikel
|
| 5 |
Correction to: Large deformation plasticity
|
Bruhns, O. T.
|
|
|
37 |
12 |
p. 1839
|
artikel
|
| 6 |
Correction to: Practical framework for data-driven RANS modeling with data augmentation
|
Guo, Xianwen
|
|
|
37 |
12 |
p. 1840-1842
|
artikel
|
| 7 |
Data-driven Bayesian inference of turbulence model closure coefficients incorporating epistemic uncertainty
|
Maruyama, Daigo
|
|
|
37 |
12 |
p. 1812-1838
|
artikel
|
| 8 |
Deconvolutional artificial-neural-network framework for subfilter-scale models of compressible turbulence
|
Yuan, Zelong
|
|
|
37 |
12 |
p. 1773-1785
|
artikel
|
| 9 |
Effects of electrical stimulation on skin surface
|
Xu, Xinkai
|
|
|
37 |
12 |
p. 1843-1871
|
artikel
|
| 10 |
Genetic-algorithm-based artificial intelligence control of a turbulent boundary layer
|
Yu, Jianing
|
|
|
37 |
12 |
p. 1739-1747
|
artikel
|
| 11 |
Multilayer perceptron neural network activated by adaptive Gaussian radial basis function and its application to predict lid-driven cavity flow
|
Jiang, Qinghua
|
|
|
37 |
12 |
p. 1757-1772
|
artikel
|
| 12 |
Physics-informed neural networks (PINNs) for fluid mechanics: a review
|
Cai, Shengze
|
|
|
37 |
12 |
p. 1727-1738
|
artikel
|
| 13 |
Practical framework for data-driven RANS modeling with data augmentation
|
Guo, Xianwen
|
|
|
37 |
12 |
p. 1748-1756
|
artikel
|
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