Filter News
Area of Research
News Topics
- (-) Advanced Reactors (10)
- (-) Exascale Computing (7)
- (-) Frontier (8)
- 3-D Printing/Advanced Manufacturing (25)
- Artificial Intelligence (34)
- Big Data (14)
- Bioenergy (19)
- Biology (11)
- Biomedical (10)
- Biotechnology (6)
- Buildings (13)
- Chemical Sciences (11)
- Clean Water (8)
- Climate Change (19)
- Composites (6)
- Computer Science (51)
- Critical Materials (3)
- Cybersecurity (5)
- Decarbonization (19)
- Education (1)
- Emergency (1)
- Energy Storage (16)
- Environment (37)
- Fossil Energy (2)
- Fusion (9)
- Grid (10)
- High-Performance Computing (13)
- Isotopes (10)
- ITER (1)
- Machine Learning (13)
- Materials (13)
- Materials Science (32)
- Mathematics (2)
- Mercury (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (13)
- Net Zero (5)
- Neutron Science (27)
- Nuclear Energy (23)
- Partnerships (9)
- Physics (8)
- Polymers (7)
- Quantum Computing (8)
- Quantum Science (20)
- Security (4)
- Simulation (11)
- Space Exploration (7)
- Statistics (2)
- Summit (13)
- Sustainable Energy (23)
- Transportation (22)
Media Contacts
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
Researchers tackling national security challenges at ORNL are upholding an 80-year legacy of leadership in all things nuclear. Today, they’re developing the next generation of technologies that will help reduce global nuclear risk and enable safe, secure, peaceful use of nuclear materials, worldwide.
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
When scientists pushed the world’s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms — the largest system ever modeled and more than 400 times the size of the closest competition.
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
Integral to the functionality of ORNL's Frontier supercomputer is its ability to store the vast amounts of data it produces onto its file system, Orion. But even more important to the computational scientists running simulations on Frontier is their capability to quickly write and read to Orion along with effectively analyzing all that data. And that’s where ADIOS comes in.
Canan Karakaya, a R&D Staff member in the Chemical Process Scale-Up group at ORNL, was inspired to become a chemical engineer after she experienced a magical transformation that turned ammonia gas into ammonium nitrate, turning a liquid into white flakes gently floating through the air.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.
For nearly three decades, scientists and engineers across the globe have worked on the Square Kilometre Array (SKA), a project focused on designing and building the world’s largest radio telescope. Although the SKA will collect enormous amounts of precise astronomical data in record time, scientific breakthroughs will only be possible with systems able to efficiently process that data.
Gina Tourassi has been appointed as director of the National Center for Computational Sciences, a division of the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory.