Filter News
Area of Research
News Topics
- (-) Quantum Computing (53)
- (-) Simulation (64)
- 3-D Printing/Advanced Manufacturing (146)
- Advanced Reactors (40)
- Artificial Intelligence (129)
- Big Data (78)
- Bioenergy (111)
- Biology (128)
- Biomedical (73)
- Biotechnology (38)
- Buildings (74)
- Chemical Sciences (85)
- Clean Water (33)
- Composites (35)
- Computer Science (225)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (218)
- Exascale Computing (66)
- Fossil Energy (8)
- Frontier (63)
- Fusion (66)
- Grid (74)
- High-Performance Computing (129)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (67)
- Materials (156)
- Materials Science (158)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- Nanotechnology (64)
- National Security (86)
- Neutron Science (171)
- Nuclear Energy (122)
- Partnerships (67)
- Physics (69)
- Polymers (35)
- Quantum Science (92)
- Security (31)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (70)
- Transportation (102)
ORNL's Communications team works with news media seeking information about the laboratory. Media may use the resources listed below or send questions to news@ornl.gov.
11 - 20 of 110 Results

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.

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.

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.

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.

The National Center for Computational Sciences, located at the Department of Energy’s Oak Ridge National Laboratory, made a strong showing at computing conferences this fall. Staff from across the center participated in numerous workshops and invited speaking engagements.

Since their establishment in 2020, the five DOE National Quantum Information Science Research Centers have been expanding the frontier of what’s possible in quantum computing, communication, sensing and materials in ways that will advance basic science for energy, security, communication and logistics.


ORNL welcomed attendees to the inaugural Southeastern Quantum Conference, held Oct. 28 – 30 in downtown Knoxville, to discuss innovative ways to use quantum science and technologies to enable scientific discovery.

In early November, researchers at the Department of Energy’s Argonne National Laboratory used the fastest supercomputer on the planet to run the largest astrophysical simulation of the universe ever conducted. The achievement was made using the Frontier supercomputer at Oak Ridge National Laboratory.

The Department of Energy’s Quantum Computing User Program, or QCUP, is releasing a Request for Information to gather input from all relevant parties on the current and upcoming availability of quantum computing resources, conventions for measuring, tracking, and forecasting quantum computing performance, and methods for engaging with the diversity of stakeholders in the quantum computing community. Responses received to the RFI will inform QCUP on both immediate and near-term availability of hardware, software tools and user engagement opportunities in the field of quantum computing.