According to a recent report from CNN, Princeton University researchers have completed a new study using artificial intelligence (AI) to address instabilities with nuclear fusion energy.
While fusion is seen as a potential clean energy source, scientists have struggled to achieve sustained reactions. The most common fusion technique involves confining plasma in a donut-shaped tokamak device using magnetic fields. However, the plasma can become unstable and disrupt the reaction.
The Princeton team developed an AI model to predict plasma disruptions in real-time. Their system was able to provide advanced warnings 300 milliseconds before plasma tearing occurred.
This could allow operators to take preventive measures and maintain the fusion reaction. The researchers believe their approach of using AI for prediction shows promise for managing the complexities of fusion energy.
Previous nuclear fusion experiments have generated energy, but less than required to initiate the reaction. If scientists can leverage AI and other emerging technologies to extend fusion duration, the potential for commercial applications by 2040 is promising.
The study provides hope that innovations like AI will help make fusion energy viable, offering a clean energy solution to address climate challenges.
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