2 Results
Current Filters Clear all

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

Post, September 22, 2014 • 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...

Chemical Kinetic Rate Coefficient Estimation Given Partial Information

Post, May 13, 2013 • Habib Najm, Khachik Sargsyan, and Bert Debusschere of the CRF, working with Cosmin Safta of Sandia’s Computer Sciences and Information Systems center and Robert Berry, formerly at the CRF and presently at The Climate Corporation in San Francisco, California, have demonstrated the use of a data free inference (DFI) approach...