Science
Fusion: E-learning reduces prediction error on DIII-D tokamak by 80%
Data scientists at the Jefferson Lab have designed a digital twin that anticipates the micro-displacements of the DIII-D tokamak's coils between two shots, with 80% less error compared to static models.