Restoring power to the grid
Computer scientists created a model to help grid operators quickly restore power to the electric grid after a complete disruption.
Sandia, Intel seek novel memory tech to support stockpile mission
Sandia is partnering with Los Alamos and Lawrence Livermore national labs and Intel Federal LLC to develop technologies that impact future computer systems for complex modeling and simulation.
Reducing risks from electric vehicle charging infrastructure
Sandia researchers conducted a survey of electric vehicle charger vulnerabilities that could influence policymaking and establish best practices for electric vehicle chargers in the future.
Investigating stockpile stewardship applications for world’s largest computer chip
Researchers from Sandia, Los Alamos and Lawrence Livermore national labs plan to investigate application of the computer chip to accelerate advanced simulation and computing in support of the nation’s stockpile stewardship mission.
Scientists chip away at a metallic mystery, one atom at a time
It’s no secret that radiation weakens metal. Sandia researchers are uncovering how.
Build-a-satellite program could fast track national security space missions
Valhalla, a modeling framework developed at Sandia, uses high-performance computing to design satellites, saving researchers months of creating preliminary designs.
Hruby Fellow tackles big problems in climate by focusing on smallest details
In her three years at Sandia, Kelsey DiPietro has accelerated research through computer modeling. Read about Kelsey’s work in this profile offered as part of the “Sandia Loves Science” campaign.
Getting the stars back together again
The Labs hosted the Rising Stars in Computational and Data Sciences workshop last month in Albuquerque. This year's event offered opportunities for women graduate students and postdoctoral appointees to collaborate in person.
International collaboration compares geologic repository assessment tools
Sandia researchers have developed software that supports the assessment of possible sites to dispose of spent nuclear fuel in the future.
Neuromorphic computing widely applicable, Sandia researchers show
Brain-based computing chips can solve more complex problems than those posed by artificial intelligence and may even apply to high-performance computing.