no code implementations • 20 Mar 2023 • Joseph Hart, Mamikon Gulian, Indu Manickam, Laura Swiler
In complex large-scale systems such as climate, important effects are caused by a combination of confounding processes that are not fully observable.
no code implementations • 22 Dec 2020 • Mamikon Gulian, Ari Frankel, Laura Swiler
The framework may be applied to infer the solution of a well-posed boundary value problem with a known second-order differential operator and boundary conditions, but for which only scattered observations of the source term are available.
no code implementations • 16 Jun 2020 • Laura Swiler, Mamikon Gulian, Ari Frankel, Cosmin Safta, John Jakeman
Gaussian process regression is a popular Bayesian framework for surrogate modeling of expensive data sources.
no code implementations • 23 Dec 2019 • Ari Frankel, Reese Jones, Laura Swiler
Finally, we consider an approach that recovers the strain-energy density function and derives the stress tensor from this potential.