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08/24/2023
Easy attention: A simple self-attention mechanism for Transformers
To improve the robustness of transformer neural networks used for tempor...
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04/07/2023
β-Variational autoencoders and transformers for reduced-order modelling of fluid flows
Variational autoencoder (VAE) architectures have the potential to develo...
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10/05/2021
The Potential of Machine Learning to Enhance Computational Fluid Dynamics
Machine learning is rapidly becoming a core technology for scientific co...
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07/22/2021
Physics-informed neural networks for solving Reynolds-averaged Navierx2013Stokes equations
Physics-informed neural networks (PINNs) are successful machine-learning...
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