Feature Articles

Oak Ridge National Laboratory and Western Michigan University researchers demonstrated pavement markers that use embedded microchips to transmit road shape information to self-driving cars. The technology, demonstrated to government officials in Chattanooga, TN, helps self-driving cars navigate in all weather conditions and outperformed commercial systems on roads with steep curves.

A unique manufacturing program for large metal parts holds promise to help revitalize American manufacturing and return clean energy manufacturing technologies to the United States. The approach could greatly reduce waiting times for critical components and enable economic growth in the manufacturing sector for energy, according to scientists at the Department of Energy’s Oak Ridge National Laboratory.

Researchers at Oak Ridge National Laboratory used the Frontier supercomputer to calculate the magnetic properties of calcium-48's atomic nucleus, resolving a long-standing experimental discrepancy. Their findings provide insights into how magnetism manifests in nuclei, contributing to our understanding of nuclear forces and the processes inside supernovae. This work could influence future experimental approaches and deepen our knowledge of the universe's fundamental forces.

Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a new automated drone inspection system that can respond rapidly to unusual electric grid behavior, especially in remote areas that are tough for a worker to reach. ORNL demonstrated the new approach at a training facility for powerline workers owned by utility partner EPB of Chattanooga in Tennessee. 

Five researchers at the Department of Energy’s Oak Ridge National Laboratory recently completed an eight-week pilot commercialization coaching program as part of Safari, a program funded by DOE’s Office of Technology Transitions, or OTT, Practices to Accelerate the Commercialization of Technologies, or PACT. 

 Energy I-Corps pairs teams of researchers, often with no business background or knowledge, with industry mentors through an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways. Two ORNL teams participated in Cohort 18, which concluded in March, helping commercialize the fruits of their research.

Scientists at the Department of Energy’s Oak Ridge National Laboratory led studies of the radioactive isotope beryllium-10, which existed when the solar system came into being some 4.5 to 5 billion years ago. They probed whether this isotope can be formed in sufficient quantities during the massive explosions of gigantic stars in their death throes, called supernovae.

Substances called polyethylene glycols, or PEGs, are widely used in industry, medical, cosmetics and personal care products. The problem is, when they enter the environment and build up, they can harm ecosystems and natural resources. Existing approaches to detecting these environmentally unfriendly chemicals — such as chromatography or bulk mass spectrometry — fall short because they lack the necessary sensitivity. However, new research led by Oak Ridge National Laboratory has demonstrated an effective technique for identifying PEGs in the environment.

Researchers at Oak Ridge National Laboratory have developed new software using electromagnetic transient analysis, a type of electric grid simulation, to speed up calculations that more accurately predict how modern power electronics will affect grid operations. This provides an essential tool for planning, design and operation of the modern power grid as it incorporates new renewable power generation and electric vehicle chargers. 

Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.