Davide Picchi

Physics-Informed Neural Networks for Heat Transfer Problems

Data-driven modeling for boiling heat transfer: Using deep neural networks and high-fidelity simulation results

Uncertainty quantification and global sensitivity analysis of mechanistic one-dimensional models and flow pattern transition boundaries predictions for two-phase pipe flows