
Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (30)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Energy Science (44)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (133)
- Materials Characterization (1)
- Materials for Computing (17)
- Materials Under Extremes (1)
- National Security (19)
- Neutron Science (37)
- Nuclear Science and Technology (13)
- Quantum information Science (3)
- Supercomputing (72)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (131)
- (-) Big Data (79)
- (-) Isotopes (62)
- (-) Materials Science (158)
- (-) Microscopy (56)
- (-) Molten Salt (10)
- (-) Physics (69)
- 3-D Printing/Advanced Manufacturing (146)
- Advanced Reactors (40)
- Bioenergy (112)
- Biology (128)
- Biomedical (73)
- Biotechnology (39)
- Buildings (74)
- Chemical Sciences (86)
- Clean Water (33)
- Composites (35)
- Computer Science (226)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (218)
- Exascale Computing (67)
- Fossil Energy (8)
- Frontier (64)
- Fusion (66)
- Grid (74)
- High-Performance Computing (130)
- Hydropower (12)
- Irradiation (3)
- ITER (9)
- Machine Learning (68)
- Materials (157)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Nanotechnology (64)
- National Security (86)
- Neutron Science (171)
- Nuclear Energy (122)
- Partnerships (68)
- Polymers (35)
- Quantum Computing (53)
- Quantum Science (93)
- Security (31)
- Simulation (65)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (71)
- Transportation (103)
Media Contacts


Scientists at the Department of Energy’s Oak Ridge National Laboratory recently demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the environment.

Joel Brogan, who leads the Multimodal Sensor Analytics group at Oak Ridge National Laboratory, has been elevated to senior membership in the Institute of Electrical and Electronics Engineers.

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.

ORNL has been recognized in the 21st edition of the HPCwire Readers’ and Editors’ Choice Awards, presented at the 2024 International Conference for High Performance Computing, Networking, Storage and Analysis in Atlanta, Georgia.

Two-and-a-half years after breaking the exascale barrier, the Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory continues to set new standards for its computing speed and performance.

Researchers used the world’s fastest supercomputer, Frontier, to train an AI model that designs proteins, with applications in fields like vaccines, cancer treatments, and environmental bioremediation. The study earned a finalist nomination for the Gordon Bell Prize, recognizing innovation in high-performance computing for science.

Researchers at Oak Ridge National Laboratory used the Frontier supercomputer to train the world’s largest AI model for weather prediction, paving the way for hyperlocal, ultra-accurate forecasts. This achievement earned them a finalist nomination for the prestigious Gordon Bell Prize for Climate Modeling.

The Department of Energy has awarded an $88.8 million contract to Hensel Phelps for the construction of a facility to enrich stable isotopes at Oak Ridge National Laboratory.

The Proton Power Upgrade project at ORNL's Spallation Neutron Source has achieved its final key performance parameter of 1,250 hours of neutron production at 1.7 megawatts of proton beam power on a newly developed target.