By Marcell Stippinger 2025-10-14
The AI ambassadors of HUN-REN Wigner RCP are organizing a journal club. Everyone interested in physics informed neural networks (PINN) from HUN-REN Wigner RCP or other HUN-REN or Hungarian academic institutions are welcome. To get an overview of the event series, click here.
Todays presentation
Presenter: Molnár Balázs (HUN-REN EK)
Title: PINNs for state estimation and control
Todays papers:
- State estimation and learning inverse mappings with
- PINN-Obs https://arxiv.org/abs/2507.06712,
- DeepONet https://arxiv.org/abs/1910.03193
In order to acheive:
- State estimation in fusion plasma physics (with Bayesian inference) 3. https://iopscience.iop.org/article/10.1088/0741-3335/50/8/085009
How to join
It is preferred to read the selected paper in advance for a more in-depth discussion. For each paper we select a participant in advance who is asked to present the paper on the big srceen.
You can join our journal club
- in person: Department of Computational Sciences, HUN-REN Wigner RCP, Building 6, Floor 2
- via Zoom: https://wigner-hu.zoom.us/j/81775263945?pwd=p8Mwuhmz3g7RS3nTE4REATcwKbR26T.1 Meeting ID: 817 7526 3945 Passcode: 058243
Replay
You can watch the recorded presentation using your eduID login:
https://mydrive.kfki.hu/smart-link/5496d5a7-87ae-446d-a8a8-7b3cbe45b299/
The materials:
https://mydrive.kfki.hu/smart-link/2d96221b-57b9-4803-9c62-ade7e11fb489/