Scientists say they can use AI to solve a key problem in the quest for near-limitless clean energy

CNN ^ | Updated 12:16 PM EST, Wed February 21, 2024 | By Angela Dewan, CNN

[Red Badger]

Scientists pursuing fusion energy say they have found a way to overcome one of their biggest challenges to date — by using artificial intelligence.

Nuclear fusion has for decades been hailed as a near-limitless source of clean energy, in what would be a game-changing solution to the climate crisis. But experts have only achieved and sustained fusion energy for a few seconds, and many obstacles remain, including instabilities in the highly complex process.

There are several ways to achieve fusion energy, but the most common involves using hydrogen variants as an input fuel and raising temperatures to extraordinarily high levels in a donut-shaped machine, known as a tokamak, to create a plasma, a soup-like state of matter.

But that plasma needs to be controlled and is highly susceptible to “tearing” and escaping the machine’s powerful magnetic fields that are designed to keep the plasma contained.

On Wednesday, researchers from Princeton University and the Princeton Plasma Physics Laboratory reported in the journal Nature they found a way to use AI to forecast these potential instabilities and prevent them from happening in real time.

The team carried out their experiments at the DIII-D National Fusion Facility in San Diego, and found that their AI controller could forecast potential plasma tearing up to 300 milliseconds in advance. Without that intervention, the fusion reaction would have ended suddenly.

“The experiments provide a foundation for using AI to solve a broad range of plasma instabilities, which have long hindered fusion energy,” a Princeton spokesperson said.

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[Red Badger]

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[AdmSmith]

Thank you, this is progress, but as they say in the article:

But that experiment still used more energy as input than it generated. Another team in California, however, managed to produce a net amount of fusion energy in December 2022, in a process called “ignition.” They have replicated ignition three times since.

Despite the promising progress, fusion energy is a long way from becoming commercially available

https://edition.cnn.com/2024/02/21/climate/nuclear-fusion-ai-climate-solution/index.html