Filter News
Area of Research
- Advanced Manufacturing (7)
- Biological Systems (2)
- Biology and Environment (130)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (168)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (32)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (83)
- Materials for Computing (11)
- Mathematics (1)
- National Security (28)
- Neutron Science (30)
- Nuclear Science and Technology (41)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Supercomputing (127)
News Topics
- (-) Bioenergy (91)
- (-) Composites (26)
- (-) Computer Science (186)
- (-) Energy Storage (108)
- (-) Environment (194)
- (-) Frontier (42)
- (-) Mercury (12)
- (-) Molten Salt (8)
- (-) Nuclear Energy (106)
- (-) Transformational Challenge Reactor (7)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Artificial Intelligence (91)
- Big Data (53)
- Biology (98)
- Biomedical (58)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (63)
- Clean Water (29)
- Climate Change (99)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (78)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Exascale Computing (37)
- Fossil Energy (5)
- Fusion (53)
- Grid (62)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (52)
- ITER (7)
- Machine Learning (47)
- Materials (143)
- Materials Science (138)
- Mathematics (7)
- Microelectronics (2)
- Microscopy (51)
- Nanotechnology (60)
- National Security (60)
- Net Zero (13)
- Neutron Science (130)
- Partnerships (42)
- Physics (59)
- Polymers (33)
- Quantum Computing (32)
- Quantum Science (67)
- Renewable Energy (2)
- Security (24)
- Simulation (46)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (125)
- Transportation (95)
Media Contacts
An Oak Ridge National Laboratory team revealed how chemical species form in a highly reactive molten salt mixture of aluminum chloride and potassium chloride by unraveling vibrational signatures and observing ion exchanges.
Anuj J. Kapadia, who leads the Advanced Computing in Health Sciences Section at the Department of Energy’s Oak Ridge National Laboratory, was named a 2024 Fellow by the American Association of Physicists in Medicine.
When the Department of Energy’s Oak Ridge National Laboratory 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.
Researchers at ORNL and the University of Maine have designed and 3D-printed a single-piece, recyclable natural-material floor panel tested to be strong enough to replace construction materials like steel.
Erin Webb, lead for the Bioresources Science and Engineering group at Oak Ridge National Laboratory, has been elected a Fellow of the American Society of Agricultural and Biological Engineers — the society’s highest honor.
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.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
Researchers at ORNL are developing battery technologies to fight climate change in two ways, by expanding the use of renewable energy and capturing airborne carbon dioxide.
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.