Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (78)
- Clean Energy (47)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Fusion and Fission (17)
- Fusion Energy (11)
- Materials (14)
- Materials for Computing (3)
- Mathematics (1)
- National Security (18)
- Neutron Science (8)
- Nuclear Science and Technology (11)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (46)
News Type
News Topics
- (-) Big Data (40)
- (-) Biology (75)
- (-) Clean Water (28)
- (-) Fusion (40)
- (-) Grid (45)
- (-) Machine Learning (33)
- (-) Molten Salt (6)
- (-) Quantum Science (38)
- (-) Simulation (35)
- 3-D Printing/Advanced Manufacturing (70)
- Advanced Reactors (22)
- Artificial Intelligence (59)
- Bioenergy (65)
- Biomedical (40)
- Biotechnology (15)
- Buildings (41)
- Chemical Sciences (32)
- Climate Change (72)
- Composites (15)
- Computer Science (125)
- Coronavirus (29)
- Critical Materials (14)
- Cybersecurity (17)
- Decarbonization (57)
- Education (1)
- Emergency (2)
- Energy Storage (65)
- Environment (150)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (26)
- High-Performance Computing (54)
- Hydropower (11)
- Irradiation (2)
- Isotopes (32)
- ITER (5)
- Materials (75)
- Materials Science (83)
- Mathematics (7)
- Mercury (10)
- Microelectronics (2)
- Microscopy (34)
- Nanotechnology (32)
- National Security (40)
- Net Zero (9)
- Neutron Science (76)
- Nuclear Energy (76)
- Partnerships (15)
- Physics (35)
- Polymers (19)
- Quantum Computing (21)
- Renewable Energy (1)
- Security (13)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Summit (36)
- Sustainable Energy (89)
- Transformational Challenge Reactor (3)
- Transportation (67)
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 of researchers including a member of the Quantum Science Center at ORNL has published a review paper on the state of the field of Majorana research. The paper primarily describes four major platforms that are capable of hosting these particles, as well as the progress made over the past decade in this area.
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.
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.
Howard Wilson explores how to accelerate the delivery of fusion energy as Fusion Pilot Plant R&D lead at ORNL. Wilson envisions a fusion hub with ORNL at the center, bringing together the lab's unique expertise and capabilities with domestic and international partnerships to realize the potential of fusion energy.
The BIO-SANS instrument, located at Oak Ridge National Laboratory’s High Flux Isotope Reactor, is the latest neutron scattering instrument to be retrofitted with state-of-the-art robotics and custom software. The sophisticated upgrade quadruples the number of samples the instrument can measure automatically and significantly reduces the need for human assistance.
Plans to unite the capabilities of two cutting-edge technological facilities funded by the Department of Energy’s Office of Science promise to usher in a new era of dynamic structural biology. Through DOE’s Integrated Research Infrastructure, or IRI, initiative, the facilities will complement each other’s technologies in the pursuit of science despite being nearly 2,500 miles apart.
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.