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A deep look inside a cell membrane showing the production of materials from plant biomass, shown with shapes that consist of four green balls connected with a red ball on one end, dotted with smaller white balls on each surface.

Scientists at ORNL 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.

Secretary Wright leans over red computer door, signing with silver sharpie as ORNL Director Stephen Streiffer looks on

During his first visit to Oak Ridge National Laboratory, Energy Secretary Chris Wright compared the urgency of the Lab’s World War II beginnings to today’s global race to lead in artificial intelligence, calling for a “Manhattan Project 2.”

Six images fanned out across the right side of the page with the first page showcasing the report cover. To the right hand side is a green oak leaf.

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. 

This is an image of a photon chip, it's a black background with green squiggle lines across it, with two blue lines running horizontally in the middle with an inch in between.

Quantum information scientists at ORNL successfully demonstrated a device that combines key quantum photonic capabilities on a single chip for the first time.

Hugh O'Neil, director or ORNL's Center for Structural Molecular Biology is sitting in the lab on a stool, hand on desk with glasses on. There are lab related items blurred in the foreground.

Hugh O’Neill’s lifelong fascination with the complexities of the natural world drives his research at ORNL, where he’s using powerful neutron beams to dive deep into the microscopic realm of biological materials and unlock secrets for better production of domestic biofuels and bioproducts.

Close up image of Quantum Science Center poster with the QSC logo.

Registration for the Quantum Science Center’s Summer School is open now through Feb. 28, 2025. Conducted in partnership with the Quantum Science Center at ORNL, this year’s summer school will be hosted at the Purdue Quantum Science and Engineering Institute Apr. 21 through Apr. 25, 2025, on the Purdue University campus.

Image of four tall blocks creating a square with each block a different color, two gray, one green and one blue. That shape is sitting on a flat set of squares rotating the same color pattern

A recent study led by quantum researchers at ORNL proved popular among the science community interested in building a more reliable quantum network. The study, led by ORNL’s Hsuan-Hao Lu, details development of a novel quantum gate that operates between two photonic degrees of freedom — polarization and frequency. 

Two pictures of a rounded triangle shape are shown in mirror image. The left is white with red and purple spots in the middle while the one on the right is purple with a yellow and blue ring in the middle

Scientists designing the world’s first controlled nuclear fusion power plant, ITER, needed to solve the problem of runaway electrons, negatively charged particles in the soup of matter in the plasma within the tokamak, the magnetic bottle intended to contain the massive energy produced. Simulations performed on Summit, the 200-petaflop supercomputer at ORNL, could offer the first step toward a solution.

A picture containing indoor, equipment, control panel

A research partnership between two Department of Energy national laboratories has accelerated inspection of additively manufactured nuclear components, and the effort is now expanding to inspect nuclear fuels. 

Man is flying drone in hurricane aftermath, holding the controller

During Hurricanes Helene and Milton, ORNL deployed drone teams and the Mapster platform to gather and share geospatial data, aiding recovery and damage assessments. ORNL's EAGLE-I platform tracked utility outages, helping prioritize recovery efforts. Drone data will train machine learning models for faster damage detection in future disasters.