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Vision and mission
Capturing collisions with neural nets
FusionEPtalks 22/02/2021: This talk introduces faster collision operators with semantic segmentation.
Solving Fluid Dynamics With Neural Networks
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.
Data science and Machine Learning in Fusion
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.
Machine Learning in Plasma Turbulence Forecast
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.
Automated Recognition of ELM Instabilities
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.
An Introduction to Machine Learning and its Applications to Fusion Research
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.
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