Filter News
News Topics
- (-) Advanced Reactors (2)
- (-) Bioenergy (6)
- (-) Climate Change (6)
- (-) Energy Storage (2)
- (-) Frontier (6)
- (-) Physics (3)
- (-) Simulation (8)
- (-) Sustainable Energy (9)
- 3-D Printing/Advanced Manufacturing (8)
- Artificial Intelligence (15)
- Big Data (1)
- Biology (8)
- Biomedical (3)
- Biotechnology (3)
- Buildings (6)
- Chemical Sciences (4)
- Composites (2)
- Computer Science (10)
- Critical Materials (1)
- Decarbonization (11)
- Education (1)
- Emergency (1)
- Environment (8)
- Exascale Computing (5)
- Fossil Energy (2)
- Fusion (5)
- Grid (4)
- High-Performance Computing (8)
- Isotopes (7)
- Machine Learning (5)
- Materials (8)
- Materials Science (10)
- Mathematics (2)
- Microscopy (2)
- Nanotechnology (1)
- National Security (9)
- Net Zero (3)
- Neutron Science (6)
- Nuclear Energy (6)
- Partnerships (9)
- Polymers (1)
- Quantum Computing (8)
- Quantum Science (12)
- Security (2)
- Space Exploration (3)
- Summit (4)
- Transportation (3)
Media Contacts
Researchers used quantum simulations to obtain new insights into the nature of neutrinos — the mysterious subatomic particles that abound throughout the universe — and their role in the deaths of massive stars.
In May, the Department of Energy’s Oak Ridge and Brookhaven national laboratories co-hosted the 15th annual International Particle Accelerator Conference, or IPAC, at the Music City Center in Nashville, Tennessee.
When Oak Ridge National Laboratory's science mission takes staff off-campus, the lab’s safety principles follow. That’s true even in the high mountain passes of Washington and Oregon, where ORNL scientists are tracking a tree species — and where wildfires have become more frequent and widespread.
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.
ORNL researchers have teamed up with other national labs to develop a free platform called Open Energy Data Initiative Solar Systems Integration Data and Modeling to better analyze the behavior of electric grids incorporating many solar projects.
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.
ORNL scientists contributed to a DOE technical study that found transitioning coal plants to nuclear power plants would create high-paying jobs at the converted plants and hundreds of new jobs locally.
Computational scientists at ORNL have published a study that questions a long-accepted factor in simulating the molecular dynamics of water: the 2 femtosecond time step. According to the team’s findings, using anything greater than a 0.5 femtosecond time step can introduce errors in both the dynamics and thermodynamics when simulating water using a rigid-body description.