While neural networks can help to improve the accuracy of fluid flow simulations, new research shows how their accuracy is limited unless the right approach is taken. By embedding fluid properties ...
A lightweight dual-path convolutional neural network can predict the lift and drag coefficients of an airfoil by combining a ...
The study was conducted by a team led by Xiaofan Li from the University of Hong Kong, China. The researchers designed the framework to address a persistent challenge in fluid-structure interaction: ...
Researchers in Chengdu have developed a predefined-time adaptive neural backstepping controller that forces electro-hydraulic ...
MRI image of the brain with the lateral ventricles colored in blue. The ventricles are filled with cerebrospinal fluid. Researchers led by Masako Tamaki at the RIKEN Center for Brain Science in Japan ...
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