The work by the team at PNNL takes a critical step in leveraging ML to accelerate advanced manufacturing R&D, specifically for manufacturing techniques without access to efficient, first-principles simulations.
Scientists are pioneering approaches in the branch of artificial intelligence known as machine learning to design and train computer software programs that guide the development of new manufacturing processes.
Plastic upcycling efficiently converts plastics to valuable commodity chemicals while using less of the precious metal ruthenium. The method could recycle waste plastic pollution into useful products, helping keep it out of landfills.
Tiffany Kaspar’s work has advanced the discovery and understanding of oxide materials, helping develop electronics, quantum computing, and energy production. She strives to communicate her science to the public.
An innovative artificial enzyme has shown it can chew through woody lignin, an abundant carbon-based substance that stores tremendous potential for renewable energy and materials.
PNNL's Tegan Emerson was invited to be one of two plenary speakers at the inaugural AIM 2022 congress. The Minerals, Metals & Materials Society organized AIM 2022 to connect materials and manufacturing researchers from around the world.
A bioinspired molecule can direct gold atoms to form perfect five-pointed nanoscale stars. The feat is the product of a collaborative team from PNNL and the University of Washington.
