MagriLab / NewtonWorkshop2023

Code for the Newton Institute Workshop 2023

NewtonWorkshop2023

Material for Newton Institute Tutorial 2023 by Luca Magri with assistance from PhD students Defne Ozan and Daniel Kelshaw for the codes.

Setting Up:

First create a new virtual environment

$ python -m venv venv;
$ source venv/bin/activate

Note: You can equally use conda.

Install the requirements:

$ pip install -r requirements.txt

Optionally create a new ipykernel:

$ python -m ipykernel install --user --name=newton_workshop

Information:

Handouts for feedforward and convolutional neural networks (no physics): https://doi.org/10.5281/zenodo.7538419

Day 1: Feedforward neural networks; hard-physics-constrained neural networks for nonlinear waves.

Day 2: Convolutional neural networks (CNNs); soft-physics-constrained CNNs for super-resolution of turbulence (Navier-Stokes PDEs)

Outline:

Machine vs human modelling

Feedforward neural networks

Physics-constrained neural networks by way of example

Nonlinear wave equations in acoustics and Hard and soft constraints

Convolutional neural networks (CNNs)

Physics-constrained CNNs by way of example

2D turbulence and Super-resolution

Enjoy the drinks reception