Parametric reduced order models with machine learning for spatial emulation of mixing and combustion problems

Chenxu Ni, Siyu Ding, Xingjian Wang

High-fidelity simulations of mixing and combustion processes are generally computationally demanding and time-consuming, hindering their wide application in industrial design and o…