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Fusion plasma prediction gets 1,000x boost with Korea’s new deep learning model
Scientists have developed a deep learning–based approach that boosts plasma prediction on nuclear fusion by 1,000 times. The ...
A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has ...
Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...
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