Artificial Intelligence Helps Accelerate Fusion Reaction Efficiency

News   Dec 15, 2017 | Original story from Princeton Plasma Physics Laboratory (PPPL)

 
Artificial Intelligence Helps Accelerate Fusion Reaction Efficiency

Image of plasma disruption in experiment on JET, left, and disruption-free experiment on JET, right. Training the FRNN neural network to predict disruptions calls for assigning weights to the data flow along the connections between nodes. Data from new experiments is then put through the network, which predicts "disruption" or "non-disruption." The ultimate goal is at least 95 percent correct predictions of disruption events. Image and explanation courtesy of Eliot Feibush.

 
 
 

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