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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.

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.

Neus Domingo Marimon, ORNL scientist, poses for a photo in black with hair down

Neus Domingo Marimon, leader of the Functional Atomic Force Microscopy group at the Center for Nanophase Materials Sciences of ORNL, has been elevated to senior member of the Institute of Electrical and Electronics Engineers.

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. 

Stock image of a person in a doctor's coat pointing to white graphics if a person, world and dots, symbolizing the artificial intelligence technology used for cancer pathology
In a major milestone for cancer research, the Department of Energy’s Oak Ridge National Laboratory helped reduce the time between cancer diagnosis and pathology report processing from 22 months to just 14 months, utilizing advanced artificial
ORNL R&D data scientist Max Pasini is posing for a portrait with a blue background, black button up long sleeve shirt

Massimiliano (Max) Lupo Pasini, an R&D data scientist from ORNL, was awarded the National Energy Research Scientific Computing Center’s High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in “Groundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.”

Procter & Gamble scientists used ORNL’s Summit supercomputer to create a digital model of the corneal epithelium, the primary outer layer of cells covering the human eye, and test that model against a series of cleaning compounds in search of a gentler, more environmentally sustainable formula.

P&G is using simulations on the ORNL Summit supercomputer to study how surfactants in cleaners cause eye irritation. By modeling the corneal epithelium, P&G aims to develop safer, concentrated cleaning products that meet performance and safety standards while supporting sustainability goals.

quantum network illustration

Researchers at ORNL joined forces with EPB of Chattanooga and the University of Tennessee at Chattanooga to demonstrate the first transmission of an entangled quantum signal using multiple wavelength channels and automatic polarization stabilization over a commercial network with no downtime.

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.

ORNL researcher Phong Le poses for a photo outside on a walkway bridge over the pond. The photo is framed with brown and green plants

Phong Le is a computational hydrologist at ORNL who is putting his skills in hydrology, numerical modeling, machine learning and high-performance computing to work quantifying water-related risks for humans and the environment.