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

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.

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.

Argonne scientists Supratik Guha and Valerie Taylor will lead DOE-funded research projects in microelectronics for more efficient computing.

Swapping heavy fuel oil with fuel made from wood waste, waste fats, oils and greases could drastically cut planet-warming emissions from the shipping industry by 40 to 93%.

Charles M. ​“Chick” Macal, a modeling and simulation expert at Argonne, garnered the distinguished title of Fellow of the Society for Computer Simulation International for his 20 years in the field and his recent studies on COVID-19 spread.

Argonne will partner with companies from across the U.S. on eight efforts.

New Argonne report reveals how supply chain trends have evolved holistically.

The Department of Energy expands its CyberForce® program and offers more ways for students to test their cybersecurity skills.