Researchers at CAPS and Georgia Tech collaborate to detect faults in superconducting cables using machine learning

In a new study, engineering researchers are developing a novel machine learning tool that may increase the reliability of high-temperature superconductor (HTS) power systems. The method finds early indicators of series faults in HTS cables. 

High-temperature superconductor power systems can carry 100 times more electricity than conventional wires. They are lightweight and require less space to power electric aircraft and ships. 

FSU researchers awarded more than $250 million, a new single-year funding record

Florida State University researchers received a record level of funding in the 2020 fiscal year, bringing in $250.1 million in grants from federal, state and private sources.

 

The quarter-billion milestone in research funding is more than $16 million higher than the previous record, which FSU posted in fiscal year 2019.