GK'2025 PhD Summer School at KTH
Physics-Informed Neural Networks and Applications
Interested in the 2025 PINN Summer School?
We're excited to announce that the 2025 edition of the PINN Summer School at KTH Royal Institute of Technology, Stockholm, Sweden, is coming soon! 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
- Academic PhD Students & Postdocs: €150
(Note: We are working on lowering the fees further) - Faculty Members: €500
- Industry Professionals:
- Full Course: €650
- Lectures Only: €500
- Industry PhD Students & Postdocs: Fees will be reviewed on an individual basis depending on funding source and employment type.
Fee Reductions:
Academic students can apply for a fee reduction, which will be granted based on demand.
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
Invited Lecturers
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 Decsion and Control Systems, KTH
Organizers
- Kateryna Morozovska,
- Federica Bragone,
- Giuseppe Alessio D’Inverno,
- Zlatan Dimitrov,
-
Orfeas Bourchas,
-
Andreas Panagiotopoulos,
-
Júlia Vicens Figueres,
-
Eduardo Monti
Registration Process
If you are interested in participation in the event, please fill in you application, 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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