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11/04/2022
The Sustainable Development Goals and Aerospace Engineering: A critical note through Artificial Intelligence
The 2030 Agenda of the United Nations (UN) revolves around the Sustainab...
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06/14/2022
Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations
Since the derivation of the Navier Stokes equations, it has become possi...
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03/29/2022
Physics-informed deep-learning applications to experimental fluid mechanics
High-resolution reconstruction of flow-field data from low-resolution an...
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03/02/2022
Predicting the temporal dynamics of turbulent channels through deep learning
The success of recurrent neural networks (RNNs) has been demonstrated in...
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09/03/2021
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
We propose a deep probabilistic-neural-network architecture for learning...
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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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07/02/2020
