When and Where?
June 15-30, 2025
KTH Royal Institute of Technology
Stockholm, Sweden
Syllabus
Lectures:
- Introduction to deep learning
- Practical examples of PINN applications
- Partial Differential Equations
- Training and Optimization of NNs
- PINNs
- DeepONets
- Reduced Order Models
- Data Filtering techniques
- High performance computing
- Multi-scale modelling and GPUs
- DeepXDE
- PINA
Project work will target various research areas:
- Mechanics of fluids and structures
- Medical Imaging
- Transport
- Energy and Electrical Systems
- Biology
- Chemistry and Chemical Engineering
- Manufacturing and process engineering
Our Teachers
Prof. Jennifer Ryan,
KTH Royal Institute of Technology
Prof. Stefano Markidis,
KTH Royal Institute of Technology
Assit. Prof. Mathieu Barreau,
KTH Royal Institute of Technology
Prof. Gianluigi Rozza,
SISSA, Italy
Assoc. Prof. Khemraj Shukla,
Brown University, USA
