FusionEP talks 28/05/20
Vignesh Gopakumar 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.
Presented by Vignesh Gopakumar (Chief scientific machine learning engineer at UKAEA, United Kingdom).
About FusionEP talks
FusionEP talks are online oral exchanges on fusion science and technology led by students, alumni and professors of the FusionEP programme. They are approachable, informative, interactive and show the fun of studying fusion. Take a look and make sure to join a live broadcasting once!