Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (17)
- Clean Energy (21)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Isotopes (16)
- Materials (32)
- Materials for Computing (4)
- National Security (7)
- Neutron Science (12)
- Nuclear Science and Technology (4)
- Quantum information Science (4)
- Supercomputing (31)
News Type
News Topics
- (-) Biomedical (28)
- (-) Grid (23)
- (-) Isotopes (27)
- (-) Materials Science (44)
- (-) Mercury (7)
- (-) Physics (28)
- (-) Quantum Computing (20)
- (-) Quantum Science (30)
- 3-D Printing/Advanced Manufacturing (37)
- Advanced Reactors (8)
- Artificial Intelligence (46)
- Big Data (22)
- Bioenergy (50)
- Biology (58)
- Biotechnology (11)
- Buildings (18)
- Chemical Sciences (22)
- Clean Water (14)
- Climate Change (48)
- Composites (6)
- Computer Science (82)
- Coronavirus (17)
- Critical Materials (2)
- Cybersecurity (14)
- Decarbonization (45)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (101)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (24)
- Fusion (30)
- High-Performance Computing (43)
- Hydropower (5)
- ITER (2)
- Machine Learning (22)
- Materials (41)
- Mathematics (6)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (35)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (54)
- Partnerships (16)
- Polymers (8)
- Renewable Energy (1)
- Security (11)
- Simulation (30)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (43)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
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.
From July 15 to 26, 2024, the Department of Energy’s Oak Ridge National Laboratory will host the second U.S. Quantum Information Science, or QIS, Summer School.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
ORNL’s successes in QIS and its forward-looking strategy were recently recognized in the form of three funding awards that will help ensure the laboratory remains a leader in advancing quantum computers and networks.
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.
On Nov. 1, about 250 employees at Oak Ridge National Laboratory gathered in person and online for Quantum on the Quad, an event designed to collect input for a quantum roadmap currently in development. This document will guide the laboratory's efforts in quantum science and technology, including strategies for expanding its expertise to all facets of the field.
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.