[1F_PL02] Pattern extraction from large scale plasma turbulence simulation data with Principal Component Analysis
Reduced Order Model (ROM) is one of the key options to reduce the computational costs in the digital technologies for nuclear power plants such as digital twins or severe accident simulations. In this session, applications of ROM technologies in structural analysis, plasma turbulence simulation, and reactor physics calculation are introduced and the possibility of the ROM application for other nuclear fields is discussed.