konradha / Deep-Learning-in-Scientific-Computing-project-2023

Project repository for the lecture Deep Learning in Scientific Computing, held in FS23

Home Page:https://www.vorlesungen.ethz.ch/Vorlesungsverzeichnis/lerneinheit.view?lerneinheitId=169151&semkez=2023S

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Solving radiative transfer problems using PINNs

A repository showcasing our work on how to use PINNs to solve radiative transfer problems. This was done as part of the lecture Deep Learning in Scientific Computing held by Mishra and colleagues.

This work was done by Claudio Cannizzaro, Florian Pauschitz and Konrad Handrick.

To run, install dependencies (with a package manger of your choice).

micromamba create -n dlsc pytorch numpy matplotlib tqdm
micromamba activate dlsc

The repository additionally contains the final report and the reference paper our work builds on.

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Project repository for the lecture Deep Learning in Scientific Computing, held in FS23

https://www.vorlesungen.ethz.ch/Vorlesungsverzeichnis/lerneinheit.view?lerneinheitId=169151&semkez=2023S


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