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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.

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

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“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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“This is one of the big roadblocks — disruptions — and you want any reactor to be operating 24/7 for years without any problem,” Kolemen told 【 - Free Investment Risk Control 】. “And these type disruption and instabilities would be very problematic, so developing solutions like this increase their confidence that we can run these machines without any issues.”

Fusion energy is the process that powers the sun and other stars, and experts have been trying for decades to master it on Earth. It is achieved when two atoms that usually repel are forced to fuse together. It’s the opposite of nuclear fission — the type widely used today — which relies on splitting atoms.

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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 – well beyond the years that deep, sustained cuts to planet-warming pollution are required to stave off worsening impacts of the climate crisis.

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