By Marcell Stippinger 2025-04-03
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 paper
Cuomo, Salvatore, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi, és Francesco Piccialli. „Scientific Machine Learning Through Physics–Informed Neural Networks: Where We Are and What’s Next”.
- 2022, Journal of Scientific Computing 92, (3): 88.
- https://doi.org/10.1007/s10915-022-01939-z
- history, comparison of architectures, ex (short): ODE, diffusion-reaction, advection, Navier-Stokes, hyperbolic, quantum
Presented by: Ferenc Csikor
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: Meeting ID: 846 7811 0320, Passcode: 947438