Recently, physics informed neural networks (PINNs) have been explored
ex...
Data Assimilation (DA) and Uncertainty quantification (UQ) are extensive...
Mapping near-field pollutant concentration is essential to track acciden...
Accurate estimation of error covariances (both background and observatio...
Recent works have explored the potential of machine learning as data-dri...
An original graph clustering approach to efficient localization of error...
In order to leverage the information embedded in the background state an...