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Illustration of a real-time simulation showing a metallic nanoparticle’s optical response to light using RT-TDDFT. The image depicts electron oscillations and surrounding electromagnetic fields. Four inset panels represent applications: plasmon-enhanced biosensing, quantum computing, photochemical catalysis, and cancer detection through photothermal therapy.

A research team from the Department of Energy’s Oak Ridge National Laboratory, in collaboration with North Carolina State University, has developed a simulation capable of predicting how tens of thousands of electrons move in materials in real time, or natural time rather than compute time.

Illustration of the GRETA detector, a spherical array of metal cylinders. The detector is divided into two halves to show the inside of the machine. Both halves are attached to metal harnesses, displayed against a black and green cyber-themed background.

Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energy’s Lawrence Berkeley and Oak Ridge national laboratories.  

Two ORNL researchers are standing to the right of a computer screen and a poster promoting the AI Expo
The Department of Energy’s Oak Ridge National Laboratory gathered more than 200 artificial intelligence experts and domain scientists for an AI expo exploring cutting edge artificial intelligence that’s making a difference for scientific research
A 3D printing nozzle wrapped in insulation extrudes black composite material into a small square mold on a green and white flat surface in a lab setting. Inset shows a close-up of a pressure gauge connected to brass valves and tubing.

Scientists at ORNL have developed a vacuum-assisted extrusion method that reduces internal porosity by up to 75% in large-scale 3D-printed polymer parts. This new technique addresses the critical issue of porosity in large-scale prints but also paves the way for stronger composites. 

Image of the Frontier supercomputer in black with Frontier spelled out across the cabinets in front.

Research teams at the Department of Energy’s Oak Ridge National Laboratory received computing resource awards to train and test AI foundation models for science. A total of six ORNL projects were awarded allocations from the National Artificial Intelligence Research Resource, or NAIRR, pilot and the Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program to train their AI models.

Group of 11 people, 9 standing and two sitting are posing for a photo in front of University of Oklahoma red and white backdrop with UO logo. The two in front are shaking hands

The University of Oklahoma and Oak Ridge National Laboratory, the Department of Energy’s largest multi-program science and energy laboratory, have entered a strategic collaboration to establish a cutting-edge additive manufacturing center. 

Illustration of a glowing black box emitting digital particles that form into a 3D model of an electrical grid infrastructure, set against a background of binary code and data visualizations.

Researchers at Oak Ridge National Laboratory have developed a modeling method that uses machine learning to accurately simulate electric grid behavior while protecting proprietary equipment details. The approach overcomes a key barrier to accurate grid modeling, helping utilities plan for future demand and prevent blackouts. 

 

Two cabinets of ORNL's Frontier supercomputer are open to show the blue and red cords on the inside.

Working in collaboration with researchers from Oak Ridge National Laboratory, D-Wave Quantum Inc., a quantum computing systems, software and services provider, has shown its annealing quantum computing prototype has the potential to operate faster than the leading supercomputing systems. 

Green and blue background of a graphic image that says Honors and Awards

Mariam Kiran, a quantum research scientist at the Department of Energy’s Oak Ridge National Laboratory, was recently honored as a finalist at the British Council’s Study U.K. Alumni Awards 2025, which celebrate the achievements of U.K. alumni worldwide.

ORNL researcher Fehmi Yasin poses for a photo outside with green trees blurred in the background

Fehmi Yasin, inspired by a high school teacher, now researches quantum materials at Oak Ridge National Laboratory, aiming to transform information technology with advanced imaging techniques.