We are pleased to announce the upcoming workshop on
“Deep Learning and Design and Control of Partial Differential Equations”, taking place May 27–29, 2026
This international event brings together experts from applied mathematics, machine learning, and computational science to explore how deep learning is reshaping the way we analyze and control complex systems governed by PDEs.
???? Key topics include:
- Neural operators and physics-informed neural networks (PINNs)
- Data-driven and reinforcement learning approaches for PDE control
- Hybrid optimization and scientific machine learning
- Applications in fluid dynamics, materials science, and biomedicine
- Inverse problems and theoretical foundations of deep learning for PDEs
The three-day program features keynotes, thematic sessions, hands-on tutorials, and poster presentations, offering a comprehensive platform for exchange, collaboration, and innovation.
We look forward to bringing together a vibrant community at the intersection of AI and mathematical modeling.
Please note: This is just an information regarding events taking place at SSC; public attendance is therefore not possible due to the character of the retreat.
