In this work, physics-informed machine learning methods for multiscale transport models are presented with a focus on the application of these techniques to study the spatial propagation of infectious diseases.
Physics-Informed Neural Networks for multiscale hyperbolic systems: Application to epidemic dynamics
Giulia Bertaglia
2022
Abstract
In this work, physics-informed machine learning methods for multiscale transport models are presented with a focus on the application of these techniques to study the spatial propagation of infectious diseases.File in questo prodotto:
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