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08/15/2022
Prospects of federated machine learning in fluid dynamics
Physics-based models have been mainstream in fluid dynamics for developi...
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05/13/2022
Physics guided neural networks for modelling of non-linear dynamics
The success of the current wave of artificial intelligence can be partly...
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02/22/2022
Multi-fidelity reinforcement learning framework for shape optimization
Deep reinforcement learning (DRL) is a promising outer-loop intelligence...
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08/05/2020
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
We put forth a long short-term memory (LSTM) nudging framework for the e...
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06/24/2019
