Superconductors, which are used in MRI machines, nuclear fusion reactors, and magnetic-levitation trains, have the unique property of conducting electricity with no resistance at extremely low temperatures near absolute zero, or -459.67°F.
Efforts to discover a conventional superconductor that operates at room temperature have been ongoing for about a century, but recent advances in machine learning using supercomputers, like Expanse at the San Diego Supercomputer Center (SDSC) at UC San Diego, have accelerated the research significantly.
Senior research scientist Huan Tran from the Georgia Institute of Technology and Professor Tuoc Vu from Hanoi University of Science and Technology have collaborated on Expanse to develop an artificial intelligence/machine learning (AI/ML) approach for identifying potential superconductors more efficiently.
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