Filter News
Area of Research
- Biology and Environment (27)
- Clean Energy (18)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (1)
- Fusion Energy (1)
- Materials (7)
- Materials for Computing (3)
- National Security (4)
- Neutron Science (9)
- Nuclear Science and Technology (1)
- Supercomputing (42)
News Topics
- (-) Biotechnology (22)
- (-) Coronavirus (46)
- (-) Education (4)
- (-) Frontier (42)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Artificial Intelligence (91)
- Big Data (52)
- Bioenergy (91)
- Biology (98)
- Biomedical (58)
- Buildings (57)
- Chemical Sciences (62)
- Clean Water (29)
- Climate Change (99)
- Composites (26)
- Computer Science (185)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (78)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Fusion (53)
- Grid (61)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (51)
- 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)
- Security (24)
- Simulation (46)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (124)
- Transformational Challenge Reactor (7)
- Transportation (95)
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.
A group of high school graduates and community college students visited ORNL to meet staff and find out just what goes on at a DOE national laboratory. The Job Shadow Day was arranged by tnAchieves, a student support organization that works to increase higher educational opportunities for students across Tennessee through scholarships and mentorship.
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.
The U.S. Environmental Protection Agency has approved the registration and use of a renewable gasoline blendstock developed by Vertimass LLC and ORNL that can significantly reduce the emissions profile of vehicles when added to conventional fuels.
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.
ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
Ilenne Del Valle is merging her expertise in synthetic biology and environmental science to develop new technologies to help scientists better understand and engineer ecosystems for climate resilience.