ACME: Climate Modeling Powered by DOE Supercomputers, Tamed by Uncertainty Quantification

Blog, Combustion Chemistry, Partnerships

Facing increasing evidence of climate change, scientists around the world are working to improve climate modeling, hoping to provide decision makers solid projections to guide the development of mitigating policies. Khachik Sargsyan is leading a Sandia effort to strengthen climate models through uncertainty quantification (UQ) for the Accelerated Climate Model for Energy (ACME) program. The…

Uncertainty Quantification in Chemical Systems with Reaction Mechanisms Employing Rate Rules

Blog, Combustion Chemistry, Working with the CRF

A team of researchers—Jens Prager, formerly at the CRF and presently at the engineering simulation software firm CD-adapco; Habib Najm and Khachik Sargsyan of the CRF; Cosmin Safta of Sandia’s Computer Sciences and Information Systems center; and William Pitz of Lawrence Livermore National Laboratory—have studied the impact of uncertainty of reaction-rate constants in chemical ignition…