A team of scientists at Princeton University has developed a groundbreaking artificial intelligence tool that could help solve one of fusion power’s most persistent challenges—maintaining plasma stability inside reactors.

The system, known as Diag2Diag, can “see” what sensors miss, recreating lost or incomplete data to help control plasma—the ultra-hot fuel that powers fusion. The innovation, detailed in Nature Communications, could move fusion energy a step closer to becoming a reliable and efficient power source.

“We’ve found a way to take the data from a bunch of sensors and generate synthetic versions of data for a different kind of sensor,” said Azarakhsh Jalalvand, lead author of the study. “The reconstructed data often contains richer detail than what sensors alone can capture.”

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