By NewsBlogger Scientists at Princeton University have developed an AI model that can predict and prevent instabilities in plasma during nuclear fusion reactions, potentially revolutionizing the field and paving the way for grid-scale adoption of fusion energy.
At a glance
- Princeton University scientists use artificial intelligence to predict and prevent instabilities in nuclear fusion plasma.
- Lawrence Livermore National Laboratory achieved first net energy gain with nuclear fusion in 2022
- Princeton’s AI model can recognize plasma instabilities 300 milliseconds before they occur.
- AI model learns from past experiments, revolutionizing nuclear fusion technology.
- Research published in Nature shows potential for grid-scale adoption of fusion energy.
The details
Scientists at Princeton University have made significant advancements in nuclear fusion by using artificial intelligence to predict and prevent instabilities in plasma during fusion reactions.
This breakthrough is crucial as nuclear fusion is considered a clean energy source with the potential to produce vast amounts of energy without the need for fossil fuels or hazardous waste.
In 2022, a team at Lawrence Livermore National Laboratory achieved the first net energy gain with nuclear fusion, marking a major milestone in developing this technology.
The AI model developed by Princeton researchers is able to recognize plasma instabilities 300 milliseconds before they occur, allowing for timely modifications to keep the plasma under control.
This AI model has the potential to revolutionize the field of nuclear fusion and pave the way for grid-scale adoption of fusion energy.
The research conducted by the Princeton team has been published in the scientific journal Nature under the title ‘Avoiding fusion plasma tearing instability with deep reinforcement learning’.
What sets this AI model apart is its ability to learn from past experiments rather than relying on physics-based models.
This innovative approach allows for better predictions of instabilities ahead of time, making the process of running nuclear fusion reactions much easier and more efficient compared to current methods.
Overall, this groundbreaking research represents a significant step forward in the quest for sustainable energy sources and highlights the potential of artificial intelligence in advancing nuclear fusion technology.
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| independent.co.uk |
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| – Scientists at Princeton University used artificial intelligence to predict and prevent instabilities in plasma during nuclear fusion reactions – Nuclear fusion is considered a clean energy source with the potential to produce vast amounts of energy without fossil fuels or hazardous waste – In 2022, a team at Lawrence Livermore National Laboratory achieved the first net energy gain with nuclear fusion – The AI model developed by Princeton researchers can recognize plasma instabilities 300 milliseconds before they occur – The AI model can make modifications to keep the plasma under control, potentially leading to grid-scale adoption of nuclear fusion energy – The research was published in the scientific journal Nature under the title ‘Avoiding fusion plasma tearing instability with deep reinforcement learning’ – The AI model developed by the researchers learns from past experiments rather than incorporating information from physics-based models – The ability to predict instabilities ahead of time can make running nuclear fusion reactions easier than current approaches |
