A Pitt team used the Pittsburgh Supercomputing Center’s flagship Bridges-2 supercomputer to simulate how the increase and decrease of rail temperatures affect the vibration of the rail itself. By training an AI algorithm to associate the temperatures to a given vibration, the algorithm itself may predict when a given stretch of rail will buckle or break.