Francesco Calisto

I am in the second year of the Bachelor Degree in Physics at the University of Turin. I am mainly interested in the theoretical and mathematical aspects of physics. I also conduct research in machine learning, with a particular interest towards the connection between machine learning and physics. Recently I have worked in the field of Scientific Machine Learning using Julia libraries, such as NeuralPDE.jl.


13:30 UTC

Physics-Informed ML Simulator for Wildfire Propagation

07/29/2021, 1:30 PM1:40 PM UTC

The aim of this work is to evaluate the feasibility of re-implementing some key parts of the widely used Weather Research and Forecasting WRF-SFIRE simulator by replacing its core differential equations numerical solvers with state-of-the-art physics-informed machine learning techniques to solve ODEs and PDEs implemented in Julia, in order to transform it into a real-time simulator for wildfire spread prediction.

Platinum sponsors

Julia Computing

Gold sponsors

Relational AI

Silver sponsors

Invenia LabsConningPumas AIQuEra Computing Inc.King Abdullah University of Science and TechnologyDataChef.coJeffrey Sarnoff

Media partners

Packt Publication

Fiscal Sponsor