Projects
-
How to learn Physics: A Practical Review of Scientific Machine Learning
Scientific Machine Learning (SciML) is evolving at a rapid pace, with new methods and applications appearing every week. Keeping up with the field and building a clear, structured understanding can be challenging, especially for newcomers.
This work provides an accessible introduction to SciML, a structured overview of the field and its main building blocks, from model architectures to training strategies, and practical insights into coupling SciML models with traditional numerical solvers.
Whether you're getting started with SciML or looking for a comprehensive review, I hope this project will be useful.
Paper · GitHub repository
