Feature Articles
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Updates every hour. Last Updated: 27-Jun-2026 07:15 ET (27-Jun-2026 11:15 GMT/UTC)
How to prepare your home for extreme cold
DOE/Pacific Northwest National LaboratoryFrom air-sealing windows and checking for leaky ducts to insulating the attic, PNNL researchers offer tips on how to keep a home warm in winter weather
Super construction at super scale: How ORNL built a new home for Frontier
DOE/Oak Ridge National LaboratoryMaking room for the world’s first exascale supercomputer took some supersized renovations.
Battery energy storage systems are here: is your community ready?
DOE/Pacific Northwest National LaboratoryBattery energy storage systems are being proposed in municipalities across the U.S. PNNL researchers can help community planners guide safe siting and operations.
The journey to frontier: the story of how the exascale era began
DOE/Oak Ridge National LaboratoryFrontier still holds the title of world’s fastest supercomputer after new TOP500 lists came out in November 2022, June 2023, and this week, and OLCF engineers expect further tuning to coax even faster speeds from its processors. But the team that broke the exascale barrier knows that distinction can’t last forever.
A new blueprint for designing high-performance batteries
DOE/Argonne National LaboratoryDiscovery of “cooperative” interactions among battery components points to an exciting new approach for designing batteries beyond lithium-ion.
Fast reactor technology is an American clean, green and secure energy option
DOE/Argonne National LaboratoryArgonne National Laboratory leads the Fast Reactor Program, which provides key support to industry in demonstrating clean, green advanced nuclear reactor technologies.
Kevin Brown is paving the way toward the next generation of supercomputers
DOE/Argonne National LaboratoryKevin Brown, a Walter Massey Fellow at Argonne National Laboratory, talks about the fellowship and his career focused on optimizing supercomputers.
New international consortium formed to create trustworthy and reliable generative AI models for science
DOE/Argonne National LaboratoryA new international consortium brings together teams of researchers to create trustworthy and reliable generative AI models to address critical scientific and engineering challenges.
Topology, algebra, and geometry give math respect in data science
DOE/Pacific Northwest National LaboratoryThe use of disciplines in pure mathematics can increase the reliability and explainability of machine learning models that “transcend human intuition,” according to PNNL scientists.