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VERSION:2.0
PRODID:-//hacksw/handcal//NONSGML v1.0//EN
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BEGIN:VEVENT
DTEND;TZID=Europe/Zurich:20200528T190000
UID:989f38a8ef8a9d83d8bd0f906eedb812
DTSTAMP:1777300627
LOCATION:ONLINE VIA ZOOM
ORGANIZER:Alumni Community of the FUSION-EP Master Program
DESCRIPTION:Vignesh is a scientific machine learning engineer at the UK Atomic Energy Agency and an alumni of the European Master in Fusion Science and Engineering Physics. He uses neural networks as a surrogate for the fluid equations describing the behavior of fusion plasma in JET and MAST-U.
In his FusionEPtalk, Vignesh will introduce the neural network solvers for partial differential equations. These regression models, which provide solutions while preserving most of the underlying physics, are particularly efficient in data-starved physical scenarios.
Join the webinar and learn how to use his group\'s state-of-the-art python package for solving PDEs with artificial neural networks.
URL;VALUE=URI:https://fusionep-talks.egyplasma.com/calender/event.php?variableName=989f38a8ef8a9d83d8bd0f906eedb812
SUMMARY:Solving fluid dynamics with Neural networks
DTSTART;TZID=Europe/Zurich:20200528T180000
END:VEVENT
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