Scientific ML Workshop: Physics-Informed Neural Networks and Neural Operators
Room 0.06
Faculty of Physics, Ludwika Pasteura 5, 02-093 Warszawa, University of Warsaw
Abstract:
This workshop is an introduction to physics-informed neural networks (PINNs) and neural operators.
PINNs are a type of machine learning model that can be used to solve partial differential equations (PDEs), which are ubiquitous in physics, engineering, and other fields. PINNs work by embedding the physical laws that govern a given system into the learning process. This allows PINNs to learn accurate solutions to PDEs, even with very spare data.
Neural operators are a more general class of approximators that can be used to learn function-to-function mappings, including those described by PDEs.
Audience:
This workshop is for beginners (students, PhD candidates, academic staff) who have a basic understanding of math, python and machine learning. No prior knowledge of PINNs or Neural Operators is required.
Organizer:
The workshop is organized by:
Center4ML: University of Warsaw
EUROCC2: represented by Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw
The workshop will cover the following topics:
Introduction to the concept of PINNs and Neural Operators
Mathematical foundations of PINNs and Neural Operators
Implementation of PINNs and Neural Operators in Pytorch
Applications of PINNs and Neural Operators in science and engineering
Prerequisites:
A laptop + extension cord (PL: przedłużacz)
A Google account to run exercises in Colab
Basic understanding of math (differential equations) and machine learning
Basic understanding of python (numpy)
Workshop language:
The workshop will be conducted in English.
This is an in-person (no streaming) event only.
Dates (Saturdays): 25 XI (10:00-13:00), 2 XII (10:00-15:00), 9 XII (10:00-15:00)
Place: Faculty of Physics, Ludwika Pasteura 5, 02-093 Warszawa, University of Warsaw
https://maps.app.goo.gl/WrnrxeCJc3bMZZK48
Room: 0.06 (floor 0)
Plan of the building: http://plany.fuw.edu.pl/pasteura5/floor/0
Materials will be available in this repository (select the appropriate branch):
https://github.com/center4ml/Workshops
Learning Objectives:
By the end of this workshop, you will be able to:
Understand the basics of Physics-Informed Neural Networks (PINNs) and Neural Operators.
Train PINNs to solve engineering problems.
Train Neural Operators to solve a variety of machine-learning tasks.
Registration:
The number of places is limited.
The registration deadline is on 10 (Friday) XI 2023.
We will inform about the registration results on 13 (Monday) XI 2023.
We look forward to seeing you!
