With new Machine Learning tools, researchers at MIT believe they are honing in on ways to push cold and hot fusion development on the fast track, having languished in the face of previously daunting obstacles.
Machine Learning Improves Fusion Modeling
From www.eetasia.com
2022-01-17 00:45:00
Excerpt:
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 fusion for energy production, they need a better understanding of the turbulent motion of ions and electrons in plasmas moving through fusion reactors. The field lines of toroidal structures known as tokamaks force the plasma particles; the intent is to confine them long enough to produce significant net energy gains, but…
