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Nonfood, plant-based biofuels have potential as a green alternative to fossil fuels, but the enzymes required for production are too inefficient and costly to produce. However, new research is shining a light on enzymes from fungi that could make biofuels economically viable.

Paul Abston, leader of the HPC Infrastructure Operations Group of the National Center for Computational Sciences and manager of the Oak Ridge Leadership Computing Facility’s data center, has been named Data Center Manager of the Year for 2023.

Computing pioneer Jack Dongarra has been elected to the National Academy of Sciences in recognition of his distinguished and continuing achievements in original research.

For decades, scientists sought a way to apply the outstanding analytical capabilities of neutrons to materials under pressures approaching those surrounding the Earth’s core.

Inspired by one of the mysteries of human perception, an ORNL researcher invented a new way to hide sensitive electric grid information from cyberattack: within a constantly changing color palette.

As a researcher in power electronics, Shajjad Chowdhury is focused on exceeding capacity. In a lab space at the National Transportation Research Center at ORNL, he’s developing a novel capacitor and inverter component that will shrink the size and reduce the cost of electric drive units. He sees this as a potential step to increase electric vehicle adoption in the United States.

On the grounds of the University of Maine’s Advanced Structures and Composites Center sits the nation’s first additively manufactured home made entirely from biobased materials - BioHome3D.

A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.

SAE International has awarded ORNL Buildings and Transportation Science Division Director Robert Wagner with the SAE Medal of Honor for his dedication and support of the organization’s mission of advancing mobility solutions.

A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.