Filter News
Area of Research
News Topics
- (-) Composites (33)
- (-) Frontier (62)
- 3-D Printing/Advanced Manufacturing (141)
- Advanced Reactors (40)
- Artificial Intelligence (123)
- Big Data (77)
- Bioenergy (105)
- Biology (121)
- Biomedical (72)
- Biotechnology (33)
- Buildings (73)
- Chemical Sciences (84)
- Clean Water (32)
- Computer Science (222)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (217)
- Exascale Computing (64)
- Fossil Energy (8)
- Fusion (65)
- Grid (73)
- High-Performance Computing (128)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Machine Learning (66)
- Materials (156)
- Materials Science (155)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (55)
- Molten Salt (10)
- Nanotechnology (62)
- National Security (85)
- Neutron Science (169)
- Nuclear Energy (121)
- Partnerships (65)
- Physics (68)
- Polymers (34)
- Quantum Computing (50)
- Quantum Science (86)
- Security (30)
- Simulation (64)
- 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 95 Results

Two-and-a-half years after breaking the exascale barrier, the Frontier supercomputer at the Department of Energys 91做厙 continues to set new standards for its computing speed and performance.

Researchers used the worlds 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 91做厙 used the Frontier supercomputer to train the worlds 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 Machinerys 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.

A multi-institutional team of researchers led by the King Abdullah University of Science and Technology, or KAUST, Saudi Arabia, has been nominated for the Association for Computing Machinerys 2024 Gordon Bell Prize for Climate Modelling.

91做厙 researchers are using a new bioderived material to 3D print custom roosting structures for endangered bats.

Researchers led by the University of Melbourne, Australia, have been nominated for the Association for Computing Machinerys 2024 Gordon Bell Prize in supercomputing for conducting a quantum molecular dynamics simulation 1,000 times greater in size and speed than any previous simulation of its kind.

To bridge the gap between experimental facilities and supercomputers, experts from SLAC National Accelerator Laboratory are teaming up with other DOE national laboratories to build a new data streaming pipeline. The pipeline will allow researchers to send their data to the nations leading computing centers for analysis in real time even as their experiments are taking place.

ORNL researchers were honored with a prestigious ACE Award for Composites Excellence by the American Composites Manufacturers Association. The team won the innovation in green composites design prize for creating a fully recyclable, lightweight wind turbine blade tip that incorporates low-cost carbon fiber and conductive coating for enhanced protection against lightning strikes.

The Oak Ridge Leadership Computing Facility welcomed users to an interactive meeting at the Department of Energys 91做厙 from Sept. 1011 for an opportunity to share achievements from the OLCFs user programs and highlight requirements for the future.