Machine learning can help you find game-changing superconductors
Superconductors–found in MRI machines, nuclear fusion reactors and magnetic-levitation trains–work by conducting electricity with no resistance at temperatures near absolute zero, or -459.67degF.
Since the early 1900s, researchers have been searching for a superconductor which can operate at room temperature. However, the pace of research has accelerated in the past decade due to new developments in machine learning using supercomputers like Expanse located at the San Diego Supercomputer Centre (SDSC) in UC San Diego.
Huan Tran is a senior researcher at Georgia Institute of Technology’s School of Materials Science and Engineering. He has been working on Expanse in collaboration with Professor Tuoc vu from Hanoi University of Science and Technology, Vietnam, to develop an artificial intelligence/machine-learning (AI/ML), to identify new candidates as potential superconductors, much more quickly and reliably.
Source:
https://phys.org/news/2023-07-game-changing-superconductors-machine-tools.html
