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.
What’s Included
- Daily Breakfast: Small sandwich, cookie or fruit, and coffee
- Lunch: Full meal, including coffee and salad
- Afternoon Coffee (Fika): Coffee and a pastry
- Course Dinner & Welcome Reception
Course Teachers
George Em Karniadakis
Professor of Applied Mathematics and Engineering, Brown University
Khemraj Shukla
Associate Professor of Applied Mathematics, Brown University
Jennifer Ryan
Professor of Numerical Analysis, Optimization, and Systems Theory, KTH
Stefano Markidis
Professor of Computational Science and Technology, KTH
Matthieu Barreau
Assistant Professor of Decision and Control Systems, KTH
Organizers
Kateryna Morozovska KTH
Federica Bragone KTH
G. Alessio D’Inverno SISSA
Niccolò Tonicello SISSA
Zlatan Dimitrov Sofia University
Orfeas Bourchas NTUA
Andreas Panagiotopoulos Max Planck Institute
Júlia Vicens Figueres MELIS-UPF
Edoardo Monti Imperial College London
Registration Process
If you are a PhD student interested in participating in the event, please fill in your application, by following this link.
Applications will be reviewed continuously, and placement is not guaranteed.
After initial screening we will send you the confirmation email and a link for registration and payment.
Contact organizers
For general inquiries
info@pinns.se
For registered participants
2025@pinns.se
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