CORDIS Project
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This project develops a computational framework that combines Physics-Informed Neural Networks and Generative Adversarial Networks to enhance weather forecasting. By accurately modeling fluid dynamics and integrating various atmospheric parameters, it aims to predict severe weather events, which is vital for the air tr…
The novel development of Physics-Informed Neural Networks (PINNs), which incorporate the constraints given by physics laws into the training process, as excellent means of computing fluidic fields and their characteristics such as velocity and pressure has open the gates to numerous applications.
One of them is the data enhancement of experiments, since PINNs can reconstruct by means of applying the Navier-Stokes equations as loss function the full fluid domain in areas where experiments are lim…
UNIVERSIDAD CARLOS III DE MADRID
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Sweden, Stockholm
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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