Presentation of the paper "Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks" by F. M. Rohrhofer, S. Posch, C. Gößnitzer and B. C. Geiger for the Simulation Intelligence course held at University of Trieste (UniTS).

Model reduction of 2D diffusion equation

COOL VISUALIZATIONS Mathematica Notebooks for Math 385 Numerical Methods at Hunter College

Modeling heat diffusion with the finite difference method for PDE's in an idealized chicken panini, created in a group of 2 for a second-year computing project. Awarded an A+ (87.5%).

Heat Diffusion Simulation using CUDA, MPI.

A library for numerical solution of partial differential equations (PDE)