Get the latest Science News and Discoveries

Princeton’s AI reveals what fusion sensors can’t see


A powerful new AI tool called Diag2Diag is revolutionizing fusion research by filling in missing plasma data with synthetic yet highly detailed information. Developed by Princeton scientists and international collaborators, this system uses sensor input to predict readings other diagnostics can’t capture, especially in the crucial plasma edge region where stability determines performance. By reducing reliance on bulky hardware, it promises to make future fusion reactors more compact, affordable, and reliable.

None

Get the Android app

Or read this on ScienceDaily

Read more on:

Photo of Princeton

Princeton

Photo of fusion sensors

fusion sensors

Related news:

News photo

Princeton study maps 200,000 years of Human–Neanderthal interbreeding

News photo

Princeton Engineers Develop “Metabot” That Is Both a Material and a Robot

News photo

From research to real-world, Princeton startup tackles soaring demand for lithium and other critical minerals - EurekAlert!