
Filter News
Area of Research
News Topics
- (-) Simulation (24)
- 3-D Printing/Advanced Manufacturing (30)
- Advanced Reactors (5)
- Artificial Intelligence (45)
- Big Data (28)
- Bioenergy (16)
- Biology (22)
- Biomedical (13)
- Biotechnology (10)
- Buildings (29)
- Chemical Sciences (30)
- Clean Water (6)
- Composites (11)
- Computer Science (46)
- Critical Materials (7)
- Education (2)
- Emergency (3)
- Energy Storage (15)
- Environment (38)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (21)
- Fusion (12)
- Grid (16)
- High-Performance Computing (45)
- Hydropower (1)
- Isotopes (17)
- ITER (2)
- Machine Learning (23)
- Materials (24)
- Materials Science (26)
- Mathematics (7)
- Microelectronics (2)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (2)
- National Security (34)
- Neutron Science (23)
- Nuclear Energy (15)
- Partnerships (29)
- Physics (9)
- Polymers (5)
- Quantum Computing (20)
- Quantum Science (22)
- Security (8)
- Space Exploration (3)
- Statistics (3)
- Summit (14)
- Transportation (15)
Media Contacts
Connect with ORNL
Get ORNL News

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.


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 91°µÍø.

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.

Researchers led by the University of Melbourne, Australia, have been nominated for the Association for Computing Machinery’s 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.

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.

The Oak Ridge Leadership Computing Facility welcomed users to an interactive meeting at the Department of Energy’s 91°µÍø from Sept. 10–11 for an opportunity to share achievements from the OLCF’s user programs and highlight requirements for the future.

Daryl Yang is coupling his science and engineering expertise to devise new ways to measure significant changes going on in the Arctic, a region that’s warming nearly four times faster than other parts of the planet. The remote sensing technologies and modeling tools he develops and leverages for the Next-Generation Ecosystem Experiments in the Arctic project, or NGEE Arctic, help improve models of the ecosystem to better inform decision-making as the landscape changes.

A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.

Nuclear physicists at the Department of Energy’s 91°µÍø recently used Frontier, the world’s most powerful supercomputer, to calculate the magnetic properties of calcium-48’s atomic nucleus.