In this effort, we propose to establish a modern mathematical foundation that will enable next-generation computational methods for polynomial approximation of high-dimensional systems, having a…
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN is a robust library for high dimensional integration and interpolation as well as parameter calibration. The code consists…
During the two-year span of this project, we will focus on seven different problems to demonstrate the ability of ACUMEN to solve the specific mathematical challenges at experimental facilities at…
Developing predictive tools to understand the behavior of plasma-facing components in fusion reactors. CSMD contributions include HPC implementation, uncertainty quantification, and data analysis and…