Finding Game-Changing Superconductors with Machine Learning Tools

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 -459.67F. The search for a conventional superconductor that can function at room temperature has been ongoing for roughly a century, but research has sped up dramatically in the last decade because of new advances in machine learning (ML) using supercomputers such as Expanse at the San Diego Supercomputer Center (SDSC) at UC San Diego.

Researchers Use Supercomputers to Better Understand the Sun’s Corona

As worldwide mandates prevented gatherings over the holiday season, crowds in Chile and Argentina donned masks and eye shields to take in some outdoor magic: a two-minute solar eclipse on December 14. A week before however, everyone had a chance to see what the eclipse might look like thanks to simulations generated on the recently launched ‘Expanse’ supercomputer at the San Diego Supercomputer Center (SDSC) at UC San Diego.