Feature Articles

To create a more resilient electric grid that meets the nation’s increasing power demands, utilities are incorporating a wider array of energy sources. But this shift requires the ability to predict how the grid will react to fluctuations in the flow of electricity from new sources of power. Researchers at the Department of Energy’s Oak Ridge National Laboratory have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior while maintaining what is called a “black box” approach. This technique does not require details about the proprietary technology inside the equipment — in this case, a type of power electronics called an inverter. 

ORNL has developed a network of autonomous science laboratories outfitted with state-of-the-art artificial intelligence and robotic systems and connected to the lab’s world-class user facilities. The goal is to supercharge the research process while producing scientific breakthroughs that would be unachievable in a traditional setting.

Scientists at the Department of Energy’s Oak Ridge National Laboratory and the University of Cincinnati achieved a breakthrough in understanding the vulnerability of microbes to the butanol they produce during fermentation of plant biomass. The discovery could pave the way for more efficient production of domestic fuels, chemicals and materials.

Researchers at Georgia State University used the Summit supercomputer to study an elaborate molecular pathway called nucleotide excision repair, or NER. They built a computer model of a critical NER component called the pre-incision complex, or PInC, which plays a key role in regulating DNA repair processes in the latter stages of the NER pathway. Decoding NER’s sophisticated sequence of events and the role of PInC in the pathway could provide key insights into developing novel treatments and preventing conditions that lead to premature aging and certain types of cancer.

A workshop led by scientists at ORNL sketched a road map toward a longtime goal: development of autonomous, or self-driving, next-generation research laboratories. 

Relying on leading-edge germanium detectors developed by researchers at the Department of Energy’s Oak Ridge National Laboratory, the scientific community pursues elusive nuclear processes to unlock persistent mysteries. Answers to questions they hope to resolve hold the potential to redefine the universe itself. 

Nick Gregorich and Syed Islam, ORNL R&D staff, recently completed Cohort 19 of the Energy I-Corps program, an initiative of DOE’s Office of Technology Transitions, or OTT, that provides teams of researchers and industry mentors with an immersive two-month training to develop commercialization pathways for laboratory-developed technologies.

ORNL staff and its managing contractor, UT-Battelle, donated $1,104,866 in the 2024 ORNL Gives campaign, an annual employee-led effort to address needs throughout East Tennessee. 

Researchers at Oak Ridge National Laboratory have developed a new automated testing capability for semiconductor devices, which is newly available to researchers and industry partners in the Grid Research Integration and Deployment Center, or GRID-C.

A healthy global food supply requires healthy soil, which requires fertilizer to replace and or enhance the nutrients found in the soil. Many farmers use synthetic fertilizers, which are produced from petroleum and fossil fuels. The lack of fertilizer threatens global food security, in addition to making growing food cost-prohibitive for small scale farmers.

Nick Sokol, a member of the Innovation Crossroads program at Oak Ridge National Lab, founded Algaeo, whose technology enables farmers to efficiently grow organic fertilizers on-site from microalgae, making the entire experience of farming easier and less labor intensive while also producing healthy and good-quality food.