Data-driven surrogate modeling of hPIC ion energy-angle distributions for high-dimensional sensitivity analysis of plasma parameters' uncertainty.
Pablo SelesonMohammad MustafaDavide CurreliCory D. HauckMiroslav StoyanovDavid E. BernholdtPublished in: Comput. Phys. Commun. (2022)
Keyphrases
- sensitivity analysis
- data driven
- high dimensional
- high energy
- managerial insights
- influence diagrams
- variational inequalities
- feature space
- energy consumption
- parameter space
- gaussian distribution
- normal distribution
- low energy
- high dimensional data
- similarity search
- dimensionality reduction
- decision variables
- dynamic programming