Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (110)
- Biology and Soft Matter (1)
- Clean Energy (86)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotopes (26)
- Materials (43)
- Materials for Computing (6)
- Mathematics (1)
- National Security (19)
- Neutron Science (22)
- Nuclear Science and Technology (6)
- Sensors and Controls (1)
- Supercomputing (71)
News Topics
- (-) Biomedical (58)
- (-) Composites (26)
- (-) Environment (194)
- (-) Frontier (42)
- (-) Isotopes (51)
- (-) Security (24)
- (-) Simulation (46)
- (-) Statistics (3)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Artificial Intelligence (91)
- Big Data (52)
- Bioenergy (91)
- Biology (98)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (62)
- Clean Water (29)
- Climate Change (99)
- Computer Science (185)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (78)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Exascale Computing (37)
- Fossil Energy (5)
- Fusion (53)
- Grid (61)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Machine Learning (47)
- Materials (143)
- Materials Science (138)
- Mathematics (7)
- Mercury (12)
- Microelectronics (2)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (60)
- Net Zero (13)
- Neutron Science (130)
- Nuclear Energy (105)
- Partnerships (41)
- Physics (59)
- Polymers (33)
- Quantum Computing (32)
- Quantum Science (67)
- Renewable Energy (2)
- Software (1)
- Space Exploration (25)
- Summit (57)
- Sustainable Energy (124)
- Transformational Challenge Reactor (7)
- Transportation (95)
Media Contacts
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
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.
Early career scientist Frankie White's was part of two major isotope projects at the same time he was preparing to be a father. As co-lead on a team that achieved the first synthesis and characterization of a radium compound using single crystal X-ray diffraction and part of a team that characterized the properties of promethium, White reflects on the life-changing timeline at work, and at home.
Lætitia H. Delmau, a distinguished researcher and radiochemist at Oak Ridge National Laboratory, has received the 2024 Glenn T. Seaborg Actinide Separations Award.
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.
Scientists have uncovered the properties of a rare earth element that was first discovered 80 years ago at the very same laboratory, opening a new pathway for the exploration of elements critical in modern technology, from medicine to space travel.
Students from the first class of ORNL and Pellissippi State Community College's joint Chemical Radiation Technology Pathway toured isotope facilities at ORNL.
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.