Sometimes scientific terms can be confusing. @ENERGY's "DOE Explains. " offers straightforward explanations of everything from Atmospheric Radiation to Ultrafast Science

Supercomputers can solve problems that would otherwise be unsolvable using experiments or traditional computers. @ENERGY Office of Science is awarding 38+ million node-hours on our supercomputers to 56 projects, including those that advance AI and fusion:

AI has immense potential for accelerating discovery. It’s essential to teach the next generation of innovators how to use it effectively. Thank you to the 60+ partners that have signed the White House Pledge to Support America’s Youth in AI Education!

As new research emerges, data sets are becoming ever larger and more complex. Aydin Buluç @berkeleylab develops algorithms to reduce supercomputers’ run time and increase their efficiency. This allows scientists to tackle even bigger challenges:

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The isotope Ac-225 has huge potential for treating cancer. But supplies are limited because it's hard to make. Thankfully, @BrookhavenLab & @LosAlamosNatLab created a new way to make it w/accelerators. Our Isotopes Program will soon supply it to a clinical trial for the 1st time.

RT @mkratsios47: Today 60+ partners committed to providing funding, education materials, technology, curriculum, and more as part of the @W….

RT @WHOSTP47: Empowering America’s students and teachers in using AI tools requires all hands on deck. Over 60 US organizations committed t….

RT @AEF_Program: #dyk that for 35 yrs @doe has supported K-12 teachers with professional learning such as the Albert Einstein Educator prog….

RT @WHOSTP47: The @NSF-@ENERGY telescope is a triumph of American technical ingenuity and the result of the federal research ecosystem at i….

How can we develop foundational scientific software ecosystems that enable new applications while managing their complexity? Lois Curfman McInnes @argonne addresses this big question in her work. Her research enables major advances in supercomputing:

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RT @NSF: 💫See the night sky like never before. Today, the NSF–DOE @VRubinObs releases its first imagery, capturing the cosmos at an unprece….

What will @NSF-DOE (@Energy) Vera C. Rubin Observatory reveal to us? While it’s just begun to collect the data for the most detailed time-lapse view of the cosmos ever, we got our initial stunning view today at its First Look event:

The @NSF-DOE (@Energy) Vera C. Rubin Observatory has released its first images! The visuals released at the First Look event show cosmic events captured like never before. They’re a preview of what we can expect over the course of a decade of taking data:

Over the course of a decade, the @NSF-DOE (@Energy) Vera C. Rubin Observatory will map the sky. At today’s First Look event, we’re releasing its first amazing images. They'll be a preview of the observatory's ability to reveal insights into our universe:

We have a sneak-peek of the first imagery to be released from the @NSF-DOE (@Energy) Vera C. Rubin Observatory! Be sure to tune into the First Look livestream at 11 AM ET for more stunning images that showcase the observatory’s incredible capabilities:

By supporting decades of research into AI, @ENERGY Office of Science has set the foundation for today's advancements. @SecretaryWright spoke at the AI Expo in D.C. about how the National Labs are on the cutting-edge of AI and using it to support scientific innovation.

The @NSF-DOE (@Energy) Vera C. Rubin Observatory has the world's largest digital camera. Built @SLACLab, it will produce images that would take 400 4k HD TVs to display at full size. On June 23, see its first images at our livestreamed First Look event:

Everything that we can detect makes up only 5% of our universe. Dark matter & dark energy make up the rest. The @NSF-DOE (@ENERGY) Vera C. Rubin Observatory will give us unprecedented insights into them. Tune in on June 23 for our livestreamed First Look:

From groundwater to bioengineering, understanding how liquids and gases flow between flat parallel surfaces is important to many different applications. @ORNL researchers tried tackling this old problem with a new tool - quantum computing: