When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she knew she was going to need some new computing skills. As she made her way through her coursework, she took a class ...

Abstract: In this paper we propose a methodology for the efficient implementation of Machine Learning (ML)-based methods in particle-in-cell (PIC) codes, with a focus on Monte-Carlo or statistical ...

A physics-aware, probabilistic machine learning framework for coarse-graining high-dimensional systems in the Small Data regime ... Set up a conda Python 3 environment with the above modules (FEniCS, ...

In a paper published this week in Physics of Fluids, ... Reconstruction of tropical cyclone boundary layer wind field using physics-informed machine learning. Physics of Fluids, 2024 DOI: 10.1063 ...