AI Breakthrough in Fusion Reactors: China’s Neural Networks Advance Clean Energy

Scientists at the Hefei Institutes of Physical Science in China have made a significant breakthrough in fusion reactor technology using neural networks powered by artificial intelligence. This advancement could help unlock nearly unlimited clean energy through fusion.

The research team utilized two neural network models to measure critical plasma parameters:

  • Deep Neural Networks operated over 10 times faster than traditional methods without compromising accuracy
  • Convolutional Neural Networks successfully predicted rotation velocity profiles and ion temperature profiles

These AI-powered models allow for rapid, accurate measurements of the ultrahot plasma in fusion reactors, which is crucial for:

  • Optimizing fusion performance
  • Maintaining reactor stability
  • Enabling real-time adjustments

Fusion energy replicates how the sun generates heat, offering the potential for nearly unlimited clean energy with minimal pollution and space requirements. It could be a powerful tool in moving away from fossil fuels and combating climate change.

This breakthrough joins other recent fusion advancements globally:

  • South Korean scientists achieved a fusion reaction nearly seven times hotter than the sun’s core
  • Researchers in Wisconsin made progress with high-temperature superconductor magnets
  • New developments are occurring in Japan, France, and San Diego

The Chinese research team noted their model can be adapted to various diagnostic systems, making it broadly applicable for fusion research. This work enhances the speed and accuracy of predicting key plasma parameters while offering automated solutions for wider fusion applications.

For more details on this fusion breakthrough, see the full article on The Cool Down.

Co Authors :

Stay on top of AI & Automation with BizStack Newsletter
We will be happy to hear your thoughts

Leave a reply

BizStack — Entrepreneur’s Business Stack
Logo