
Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (75)
- Biology and Soft Matter (1)
- Energy Science (65)
- Fusion and Fission (8)
- Isotopes (1)
- Materials (41)
- Materials for Computing (6)
- National Security (8)
- Neutron Science (16)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Supercomputing (41)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (56)
- (-) Bioenergy (68)
- (-) Composites (11)
- (-) Environment (116)
- (-) Frontier (44)
- (-) Materials Science (55)
- (-) Microscopy (23)
- (-) Physics (34)
- (-) Transportation (30)
- Advanced Reactors (12)
- Artificial Intelligence (77)
- Big Data (45)
- Biology (80)
- Biomedical (42)
- Biotechnology (25)
- Buildings (30)
- Chemical Sciences (35)
- Clean Water (16)
- Computer Science (111)
- Coronavirus (19)
- Critical Materials (5)
- Cybersecurity (14)
- Education (2)
- Emergency (3)
- Energy Storage (32)
- Exascale Computing (51)
- Fossil Energy (6)
- Fusion (38)
- Grid (32)
- High-Performance Computing (81)
- Hydropower (6)
- Isotopes (33)
- ITER (4)
- Machine Learning (37)
- Materials (51)
- Mathematics (8)
- Mercury (7)
- Microelectronics (3)
- Molten Salt (2)
- Nanotechnology (17)
- National Security (60)
- Neutron Science (82)
- Nuclear Energy (66)
- Partnerships (36)
- Polymers (9)
- Quantum Computing (35)
- Quantum Science (48)
- Security (16)
- Simulation (42)
- Software (1)
- Space Exploration (13)
- Statistics (2)
- Summit (40)
Media Contacts

A paper written by researchers from the Department of Energy’s Oak Ridge National Laboratory was selected as the top paper of 2023 by Welding Journal that explored the feasibility of using laser-blown powder direct energy deposition, or Laser-powder DED.
Seven scientists affiliated with ORNL have been named Battelle Distinguished Inventors in recognition of being granted 14 or more United States patents. Since Battelle began managing ORNL in 2000, 104 ORNL researchers have reached this milestone.

Using a best-of-nature approach developed by researchers working with the Center for Bioenergy Innovation at the Department of Energy’s Oak Ridge National Laboratory and Dartmouth University, startup company Terragia Biofuel is targeting commercial biofuels production that relies on renewable plant waste and consumes less energy. The technology can help meet the demand for billions of gallons of clean liquid fuels needed to reduce emissions from airplanes, ships and long-haul trucks.

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.

A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize. The team is being recognized for developing a scalable, distributed training framework called AxoNN, which leverages GPUs to rapidly train large language models.

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.