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chaos

Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video

cookbook-2nd

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

deepxde

A library for scientific machine learning and physics-informed learning

digital-twin-in-python

In this repo we will show how to build a simple but useful Digital Twin using python. Our asset will be a Li-ion battery. This Digital Twin will allow us to model and predict batteries behavior and can be included in any virtual asset management process.

fdm-book

Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen

fem

matplotlib

matplotlib: plotting with Python

mfem-mgis

Couple MFEM and MGIS

mfm_assignment

This repository collects some codes for the homework assigned at the PhD course 'Modelling from measurements', provided by Professor Kutz.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

onedrive

OneDrive Client for Linux

openfoam-dockerfiles

This repo explains how to work with OpenFOAM through Docker. This ensures a consistent working environment across different operating systems such as Windows, macOS and Linux, which is convenient when working in groups.

openmc

OpenMC Monte Carlo Code

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

thermochimica

THERMOCHIMICA is a computational library for chemical thermodynamics. It determines a unique combination of phases and their compositions for a prescribed chemical composition, temperature and pressure. The solver and the underlying thermodynamic models can be used to estimate the chemical state and various constitutive and transport properties necessary for various materials and process models.

webinars

Code and slides for RStudio webinars