Feature Articles

Oak Ridge National Laboratory’s Peregrine software, used to monitor and analyze parts created through powder bed additive manufacturing, has released its most advanced dataset to date.

In many electricity markets, hydropower operators earn a significant portion of their revenue from the day-ahead market. In this market, utilities buy electricity based on expected demand for the next day, while power producers offer to sell electricity at prices based on forecasted production and demand. This process ensures that enough electricity is available to meet demand and helps stabilize prices by balancing supply and demand ahead of time.

It’s Tuesday morning in early June and the Idaho National Laboratory’s (INL) Transient Reactor Test Facility (TREAT) control room is crawling with visitors. Men in fatigues thumb through logbooks, monitor radiation levels, and consult data and images on laptop computers. These visitors are members of the U.S. Army’s Nuclear Disablement Team (NDT), participating in a new Nuclear Infrastructure, Assessment and Disablement (NIAD) field exercise that validates and certifies training received during INL’s annual NIAD course. The annual course is designed to improve the soldier’s proficiency and knowledge of nuclear fuel cycle processes, hazard mitigation and successful characterization and disablement of nuclear facilities.

Researchers at Berkeley Lab used the Frontier supercomputer at Oak Ridge National Laboratory to develop the most advanced simulations to date for studying earthquake dynamics. The simulations reveal in stunning new detail how geological conditions influence earthquake intensity — and, in turn, how those complex ground motions directly impact buildings and infrastructure. The data is already being shared with the broader earthquake science and engineering communities to deepen understanding of seismic behavior and to guide the designs of earthquake-resistant infrastructure and improved emergency response.

Artificial intelligence (AI) is becoming widely adopted across multiple industries, including the critical field of grid operations. The integration of AI into grid systems promises enhanced efficiency and reliability, but it also brings a host of new challenges.

Vinit Chaudhary, founder of Elemental Composites and a member of Cohort 2024 in the Innovation Crossroads program, comes from a family of entrepreneurs and has long been interested in business. Supported by Innovation Crossroads — a Department of Energy Lab-Embedded Entrepreneurship Program node at Oak Ridge National Laboratory — Chaudhary is developing natural fiber composites that are strong, lightweight, and biodegradable. This innovative approach is designed to reduce waste, create new markets for farmers and expand the use of alternative materials across industries such as transportation, automotive, marine infrastructure and sporting goods.

Researchers at the Department of Energy’s Oak Ridge National Laboratory are breaking technical barriers with faster circuit breakers to enable and protect the modern electric grid. The ORNL team developed medium-voltage circuit breakers capable of handling increasing levels of direct current at a lower cost, an advance that can help reduce future electricity costs and expand capacity in an overburdened U.S. grid. 

Researchers at Sandia National Laboratories have announced a more efficient way to generate and send temporary security codes.

While heliostats are used in the day, a scientist may have found a way to use them at night. 

In the spring of 2020, a team of engineers at the Idaho National Laboratory (INL) embarked on a groundbreaking project to design a microreactor test facility that could transform the world’s energy future.