By embedding machine learning into the design process, ML-GA dramatically speeds up computer-aided virtual prototyping, shrinking the product development phase from a few months to a few days while also bringing down computational costs.

Argonne announces the winner of the last U.S. Department of Energy CyberForce contest before the main annual event in November.

It’s been a fruitful inaugural year for the Q-NEXT quantum research center, with the start of foundry construction, the launch of a key R&D roadmap, and new science results that will lead to next-generation quantum technologies for science and society.

U.S. Department of Energy’s (DOE) Argonne National Laboratory, DOE’s Vehicle Technologies Office (VTO), National Aeronautics and Space Administration (NASA) Glenn Research Center and other experts aim to make electric aviation a reality.

Argonne’s Greenhouse gases, Regulated Emissions, and Energy use in Technologies Model (GREET), using data provided by Gevo, is expected to yield results about its carbon footprint within a few months.

A study analyzing individual synapses in macaques and mice shows primate neurons have two to five times fewer synapses than mice in the visual cortex.

Unplanned discovery could lead to future pivotal discoveries in batteries, fuel cells, devices for converting heat to electricity and more.

By confining the transport of electrons and ions in a patterned thin film, scientists find a way to potentially enhance material properties for design of next-generation electronics