PINNs - Physics-Informed Neural Networks in Sweden

GK'2025 PhD Summer School at KTH, 15-29th June 2025

Physics-Informed Neural Networks and Applications

We're excited to announce that the 2025 edition of the PINN Summer School at KTH Royal Institute of Technology, Stockholm, Sweden, 15-29th of June 2025.

This year’s program will offer in-depth, hands-on experience in "Physics-Informed Neural Networks and Applications," including interactive lectures, project work, and collaboration with top researchers in the field.

Lecture overview

The course syllabus will cover a variety of topics:

- Introduction to Deep Learning Networks

- Neural Network

- TensorFlow, PyTorch, JAX

- Discovery of differential equations

- Physics-Informed Neural Networks (advanced)

- DeepONet

- {DeepXDE} or {MODULUS}

- Uncertainty quantification

- Multi-GPU machine learning

- GPU clusters and multi-GPU programming.

- Learning on Graphs and Graph Neural Networks

Project scope overview

We encourage course participants to formulate projects related to their area of research.

Additional project topics will be provided for selection.

Examples of project areas

- Biomedicine: Modelling blood coagulation

- Control: System identification and decision making

- Dynamical Systems: Charged particles in the electromagnetic field

- Engines: Learning engine parameters

- Fluid Mechanics: Bubble growth dynamics

- Geophysics: Diffusion-reaction in porous media

- Heat Transfer: Non-linear Inverse heat conduction problem

- Materials: Modulus identification of hyperelastic material

Course Fees

Course fees are early-registration fees and only apply until the 15th of March 2025.

Academic PhD Students & Postdocs: €150
(Note: We are working on lowering the fees further)
Faculty Members: €500
Industry Professionals:
- Full Course: €750
- Lectures Only: €500
Industry PhD Students & Postdocs: Fees will be reviewed on an individual basis depending on funding source and employment type.

Fee Waiver:
Academic PhD students and Postdocs can apply for a fee waiver. Fee waiver will be only issued for specific cases.

To receive a fee waiver we request our participants to engage with our industry partners in a form of discussions and project work.

The number of spots for fee waiver is limited to 5 persons per project.

The following will be taken into account:

1. You must agree to share your CV with our industry sponsors. If the industry representative likes your profile, they might request a meeting.

2. You must apply to do one of the industry proposed projects as part of the project work.