Uncertainty Quantification

Uncertainty Quantification (UQ) is a growing area of importance for quantifying confidence in computational engineering simulations. Our activities in this area include fundamental algorithm research, implementation of those algorithms into our flagship software tools DAKOTA (http://dakota.sandia.gov) and Trilinos (http://trilinos.sandia.gov), and deployment of those tools to mission-critical application teams within Sandia as well as other partners throughout the country. A major focus of the technical R&D is on improving robustness, computational efficiency, and scalability for problems with high random dimensions, multi-scale and coupled multi-physics applications, and problems with difficult-to-model physics such as nonlinearities and discontinuities.

Research Area: Uncertainty Quantification

Related Projects
Institute for the Design of Advanced Energy Systems (IDAES)
Turner, Daniel Z, dzturne@sandia.gov