Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (35)
- Biology and Soft Matter (1)
- Clean Energy (46)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (5)
- Isotopes (15)
- Materials (25)
- Materials for Computing (5)
- National Security (15)
- Neutron Science (35)
- Nuclear Science and Technology (7)
- Supercomputing (32)
News Type
News Topics
- (-) Advanced Reactors (8)
- (-) Clean Water (14)
- (-) Climate Change (46)
- (-) Composites (5)
- (-) Cybersecurity (14)
- (-) Exascale Computing (24)
- (-) Grid (23)
- (-) Isotopes (25)
- (-) Neutron Science (46)
- (-) Transportation (27)
- 3-D Printing/Advanced Manufacturing (35)
- Artificial Intelligence (43)
- Big Data (21)
- Bioenergy (48)
- Biology (56)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Computer Science (80)
- Coronavirus (17)
- Critical Materials (1)
- Decarbonization (43)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Fossil Energy (4)
- Frontier (23)
- Fusion (28)
- High-Performance Computing (42)
- Hydropower (5)
- ITER (2)
- Machine Learning (21)
- Materials (39)
- Materials Science (41)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (33)
- Net Zero (8)
- Nuclear Energy (52)
- Partnerships (14)
- Physics (26)
- Polymers (7)
- Quantum Computing (17)
- Quantum Science (27)
- Renewable Energy (1)
- Security (10)
- Simulation (29)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (42)
- Transformational Challenge Reactor (3)
Media Contacts
ORNL scientists and researchers attended the annual American Geophysical Union meeting and came away inspired for the year ahead in geospatial, earth and climate science.
A key industrial isotope, iridium-192, has not been produced in the U.S. in almost 20 years. DOE's Isotope Program and QSA Global Inc. announced a joint product development agreement to initiate U.S. production of iridium-192.
Scientists at ORNL are looking for a happy medium to enable the grid of the future, filling a gap between high and low voltages for power electronics technology that underpins the modern U.S. electric grid.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.
The 21st Symposium on Separation Science and Technology for Energy Applications, Oct. 23-26 at the Embassy Suites by Hilton West in Knoxville, attracted 109 researchers, including some from Austria and the Czech Republic. Besides attending many technical sessions, they had the opportunity to tour the Graphite Reactor, High Flux Isotope Reactor and both supercomputers at ORNL.
The 2023 top science achievements from HFIR and SNS feature a broad range of materials research published in high impact journals such as Nature and Advanced Materials.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.
A team of eight scientists won the Association for Computing Machinery’s 2023 Gordon Bell Prize for their study that used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.