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ML Workshop Physics-Informed Neural Networks

The Workshops on Machine Learning techniques is for beginners students, PhD candidates, academic staff from fields such as physics, applied mathematics, chemistry, or biology who have a basic understanding of Python and machine learning. During the workshops, the focus will be on Physics Informed Neural Networks (PINNs).

These workshops are organized by the Machine Learning Center of the University of Warsaw and EUROCC2, represented by ICM of the University of Warsaw.

The registration has already been closed and disabled.

more information


The Workshop schedule

Day 1

11.05.2024 (Saturday) [10:00 – 13:30]

  • 10:00-11:00 Introduction to PyTorch (Szymon Nowakowski)
  • 11:00-11:15 break
  • 11:15-13:30 Hands-on exercises: (Szymon Nowakowski)
    • Writing and running Python in Colab
    • Using PyTorch to create and train simple neural networks

Materials for Day 1 are available in this repository, solutions for Day are available in this repository

Day 2

18.05.2024 (Saturday) [09:00 – 13:00]

  • 09:00-09:45 Short Lecture (Marek Bukowicki)
    • Introduction to Physics-Informed Neural Networks (PINNs)
    • The physics-informed loss function
  • 09:45-10:00 break
  • 10:00-10:45 Hands-on exercise: Training a PINN to solve a simple ODE (mass-spring-damper) (Marek Bukowicki)
  • 10:45-11:00 break
  • 11:00-13:00 Hands-on exercise: Training a PINN for parameter identification in PDE (heat transfer) (Grzegorz Gruszczyński)

Materials for Day 2 are available in this repository


Important information: 

  1. The workshop will be conducted in English.
  2. The Workshops of Machine Learning will be taken remotely [on-line platform].
  3. The number of places is no limited.
  4. The registration has already been closed and disabled.