In this section, we only focus on data-driven machine learning methods. The tutorial shows how these methods approximate the solution of a parial diffrential equation (PDE). In this section, we focus ...

This repository is provided as a tutorial for the implementation of integration algorithms of first and second order ODEs through recurrent neural networks in Python. The first order example ...

AN excellent introduction to the subject of vector analysis is provided by this book. It is admirably clear, and a natural temptation to develop so fertile a theory in excessive detail and to multiply ...

The new paradigm represented by 'AI for Science' is facilitating the transition of scientific computing from traditional physics-driven models to intelligent paradigms that integrate data and ...