Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (19)
- Clean Energy (51)
- Computer Science (1)
- Fusion and Fission (4)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (44)
- Materials for Computing (6)
- National Security (14)
- Neutron Science (42)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (30)
News Type
News Topics
- (-) Bioenergy (23)
- (-) Buildings (12)
- (-) Cybersecurity (17)
- (-) Grid (15)
- (-) Isotopes (18)
- (-) Microscopy (16)
- (-) Neutron Science (49)
- (-) Quantum Computing (9)
- (-) Security (11)
- (-) Space Exploration (3)
- (-) Transportation (25)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (10)
- Artificial Intelligence (30)
- Big Data (7)
- Biology (21)
- Biomedical (17)
- Biotechnology (7)
- Chemical Sciences (28)
- Clean Water (2)
- Climate Change (22)
- Composites (9)
- Computer Science (57)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (18)
- Education (3)
- Element Discovery (1)
- Energy Storage (41)
- Environment (35)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (15)
- Fusion (14)
- High-Performance Computing (28)
- ITER (2)
- Machine Learning (13)
- Materials (57)
- Materials Science (49)
- Mercury (2)
- Microelectronics (1)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Nuclear Energy (26)
- Partnerships (27)
- Physics (24)
- Polymers (12)
- Quantum Science (26)
- Renewable Energy (1)
- Simulation (8)
- Statistics (1)
- Summit (21)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
Media Contacts
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
The Spallation Neutron Source — already the world’s most powerful accelerator-based neutron source — will be on a planned hiatus through June 2024 as crews work to upgrade the facility. Much of the work — part of the facility’s Proton Power Upgrade project — will involve building a connector between the accelerator and the planned Second Target Station.
Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.
Bryan Maldonado, a dynamic systems and controls researcher at ORNL, has been recognized by the 2023 Hispanic Engineer National Achievements Awards Conference, or HENAAC, with the Most Promising Engineer Award.
After a highly lauded research campaign that successfully redesigned a hepatitis C drug into one of the leading drug treatments for COVID-19, scientists at ORNL are now turning their drug design approach toward cancer.
Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at ORNL. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.
Wildfires are an ancient force shaping the environment, but they have grown in frequency, range and intensity in response to a changing climate. At ORNL, scientists are working on several fronts to better understand and predict these events and what they mean for the carbon cycle and biodiversity.