Funding for this research was provided by:
Engineering and Physical Sciences Research Council (EP/P02243X/1)
Engineering and Physical Sciences Research Council (EP/R025290/1)
Fusion Energy Sciences (DE-SC0018623)
Journal title: Nuclear Fusion
Article type: paper
Article title: Physics-guided machine learning approaches to predict the ideal stability properties of fusion plasmas
Copyright information: © 2020 IAEA, Vienna
Publication dates
Date received: 2019-12-18
Date accepted: 2020-02-12
Online publication date: 2020-03-18