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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. 

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’s Askin Guler Yigitoglu presents during the 2024 Molten Salt Reactor Workshop in Knoxville with a green and blue background

ORNL’s annual workshop has become the premier forum for molten salt reactor, or MSR, collaboration and innovation, convening industry, academia and government experts to further advance MSR research and development. This year’s event attracted a record-breaking 365 participants from across the country, highlighting the momentum to bring MSRs online.

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. 

Photo is a high aerial view of lake superior through the clouds

Researchers at Stanford University, the European Center for Medium-Range Weather Forecasts, or ECMWF, and ORNL used the lab’s Summit supercomputer to better understand atmospheric gravity waves, which influence significant weather patterns that are difficult to forecast. 

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.