
Filter News
Area of Research
- Advanced Manufacturing (11)
- Biology and Environment (21)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Science (60)
- Functional Materials for Energy (2)
- Fusion and Fission (5)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (137)
- Materials Characterization (2)
- Materials for Computing (20)
- Materials Under Extremes (1)
- National Security (17)
- Neutron Science (38)
- Nuclear Science and Technology (3)
- Supercomputing (59)
- Transportation Systems (1)
News Topics
- (-) Artificial Intelligence (131)
- (-) Materials (157)
- (-) Materials Science (158)
- 3-D Printing/Advanced Manufacturing (146)
- Advanced Reactors (40)
- Big Data (79)
- 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)
- Isotopes (62)
- ITER (9)
- Machine Learning (68)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- Nanotechnology (64)
- National Security (86)
- Neutron Science (171)
- Nuclear Energy (122)
- Partnerships (68)
- Physics (69)
- Polymers (35)
- Quantum Computing (53)
- Quantum Science (92)
- Security (31)
- Simulation (65)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (71)
- Transportation (103)
Media Contacts

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.

Hempitecture, a graduate of the Innovation Crossroads program, has been awarded $8.4 million by the DOE's Office of Manufacturing and Energy Supply Chains. As part of the grant, Hempitecture will establish a facility in East Tennessee.

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.

Researchers have developed and 3D printed the lightest crack-free alloy capable of operating without melting at temperatures above 2,400 degrees Fahrenheit, which could enable additively manufactured turbine blades to better handle extreme temperatures, reducing the carbon footprint of gas turbine engines such as those used in airplanes.

Biochemist David Baker — just announced as a recipient of the Nobel Prize for Chemistry — turned to the High Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory for information he couldn’t get anywhere else. HFIR is the strongest reactor-based neutron source in the United States.

The Department of Energy announced a $67 million investment in several AI projects from institutions in both government and academia as part of its AI for Science initiative. Six ORNL-led (or co-led) projects received funding.

The Advanced Plant Phenotyping Laboratory at ORNL utilizes robotics, multi-modal imaging, and AI to enhance understanding of plant genetics and interactions with microbes. It aims to connect genes to traits for advancements in bioenergy, agriculture, and climate resilience. Senior scientist Larry York highlights the lab's capabilities and the insights from a new digital underground imaging system to improve biomass feedstocks for bioenergy and carbon storage.