Machine Learning

FusionEPtalks 22/02/2021: This talk introduces faster collision operators with semantic segmentation.

FusionEPtalks 28/05/20: This talk introduces the neural network solvers for partial differential fluid equations, as well as demonstrates how these solvers are particularly efficient in data-starved physical scenarios.

FusionEPtalks 30/04/20: In this talk, the speaker illustrates with a number of applications with some recent developments in the relatively new field of Fusion Data Science.

FusionEPtalks 20/02/20 : This talk discusses work done to recreate a physics-based turbulent transport code, QuaLiKiz, using Neural Nets, as a way to speed up computation time without losing accuracy.

FusionEPtalks 22/08/19: The automated detection of ELMs using a threshold-algorithm, the basics of information geometry and the classification of ELMs in different types will all be presented.

FusionEPtalks 04/04/19: Machine learning provides powerful tools to make artificial systems learn by themselves. Find out how and where to use it and learn about its applications to the world of nuclear fusion.