ICFDT7 - 7th International Conference on Frontier in Diagnostic Technologies

Session

AI in Support of Diagnostics and Inverse Problems

22 Oct 2024, 15:25

14. Merging Data-Driven and Physics Knowledge for Improved Diagnostics, Interpretation, and Modelling by Physics-Informed Neural Networks

Riccardo Rossi (Università di Roma 2 Tor Vergata)

22/10/2024, 15:25

AI in Support of Diagnostics and Inverse Problems

Tutorial

In many scientific and engineering endeavours, the diagnostic of several quantities is complex, indirect, and rely on several simplifying assumptions that are not always exact. Especially in these cases, the integration of measurements with physical knowledge is the most performant way to obtain accurate and reliable results. Despite this, the fusion of partial differential equations (PDEs)...

15. Advances in Maximum Likelihood Tomography Applied to Bolometry for the Investigation and Control of the Total Radiation Emission in Tokamaks

Dr Ivan Wyss (Università degli studi di Roma Tor Vergata)

22/10/2024, 15:55

AI in Support of Diagnostics and Inverse Problems

Talk

The measurement of the radiation emitted by tokamak plasmas is essential for both control and the investigation of the physics. Radiation represents an energy loss, and its quantification is therefore crucial for power balance assessments. Localized plasma cooling can lead to anomalies in electron temperature, such as hollowness in the core or cooling of the edge, thereby causing instability...