Machine Learning Improves Fusion Modeling

Researchers at MIT are employing machine learning techniques to better understand turbulent plasma phenomena in fusion devices. According to MIT News, a new deep learning framework was developed that leverages artificial neural networks to represent a reduced turbulence theory.
The research is described in two papers, published in Physical Review E and Physics of Plasmas.
If researchers hope to control

Read entire article on
Comments are closed.

powered by uNaice.de