Sandia National Labs NM Partnerships Collaboration Report 2021-2022

using a much smaller fragment through an approach fusing physics and artificial intelligence. “Electron density is key,” he said. “If we can learn the electron density for water, we might be able to do it for whatever molecule causes the next pandemic.” Jackson, who works in energy water systems integration, spoke on her team’s multilab effort to correlate extreme weather impact data gathered from the 800 sites in Sandia’s Photovoltaic Operations and Maintenance Database. “This presents a new way of fusing together a lot of disparate datasets and could provide us with the ability to improve resiliency to extreme weather and gain energy output at solar energy sites,” she said. Loe presented on the successful results her Scalable Algorithms team received when running 32-bit precision computer simulations while utilizing multiprecision strategies on their GMRES linear solver to take smaller, more frequent steps to refine the high accuracy solution that was needed. “We’re adding our mixed-precision refinement solver to Sandia’s widely used Trilinos library for use by scientists everywhere,” Loe commented.

Top-to-bottom: Sandia postdoctoral researchers

Nicole Jackson , Jennifer Loe , and Josh Rackers presented at the first inaugural Bay Area Research SLAM.


2021-2022 Collaboration Report

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