We present a data-driven strategy for effective construction of a surrogate model in high-dimensional parameter space for the ion energy-angle distribution (IEAD) output of hPIC simulations of plasma…
Double precision has been the golden standard for numerical algorithms over the past few decades, but in recent years, the mixed precision approach has demonstrated a significant increase in…
The most efficient surrogate construction algorithms are carefully tailored towards the specific target model. The tailoring is commonly done on two levels, first selecting the general class of the…
Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN (TASMANIAN) is an ORNL developed open source library for high dimensional integration and interpolation based upon sparse…