Filter News
Area of Research
- (-) Clean Energy (103)
- (-) Fusion and Fission (7)
- (-) Materials (79)
- (-) Materials for Computing (10)
- Advanced Manufacturing (3)
- Biology and Environment (35)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Isotope Development and Production (1)
- Isotopes (27)
- Mathematics (1)
- National Security (37)
- Neutron Science (19)
- Nuclear Science and Technology (12)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (34)
News Topics
- (-) Clean Water (10)
- (-) Cybersecurity (10)
- (-) Energy Storage (86)
- (-) Isotopes (15)
- (-) Machine Learning (10)
- (-) Microscopy (33)
- (-) Security (8)
- (-) Space Exploration (6)
- (-) Transformational Challenge Reactor (5)
- 3-D Printing/Advanced Manufacturing (91)
- Advanced Reactors (12)
- Artificial Intelligence (14)
- Big Data (7)
- Bioenergy (30)
- Biology (13)
- Biomedical (12)
- Biotechnology (4)
- Buildings (36)
- Chemical Sciences (39)
- Climate Change (23)
- Composites (19)
- Computer Science (41)
- Coronavirus (17)
- Critical Materials (19)
- Decarbonization (35)
- Environment (65)
- Exascale Computing (4)
- Fossil Energy (2)
- Frontier (4)
- Fusion (27)
- Grid (41)
- High-Performance Computing (10)
- Hydropower (2)
- Irradiation (1)
- ITER (6)
- Materials (103)
- Materials Science (103)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Molten Salt (3)
- Nanotechnology (47)
- National Security (7)
- Net Zero (4)
- Neutron Science (48)
- Nuclear Energy (45)
- Partnerships (17)
- Physics (30)
- Polymers (24)
- Quantum Computing (4)
- Quantum Science (15)
- Renewable Energy (1)
- Simulation (7)
- Statistics (1)
- Summit (7)
- Sustainable Energy (74)
- Transportation (72)
Media Contacts
About 60 years ago, scientists discovered that a certain rare earth metal-hydrogen mixture, yttrium, could be the ideal moderator to go inside small, gas-cooled nuclear reactors.
Researchers at ORNL used quantum optics to advance state-of-the-art microscopy and illuminate a path to detecting material properties with greater sensitivity than is possible with traditional tools.
A team led by Oak Ridge National Laboratory developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential leading toward faster charging, longer-lasting devices.
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Joe Hagerman, ORNL research lead for buildings integration and controls, understands the impact building technology innovations can have during times of crisis. Over a decade ago, he found himself in the middle of one of the most devastating natural disasters of the century, Hurricane Katrina.
Scientists seeking ways to improve a battery’s ability to hold a charge longer, using advanced materials that are safe, stable and efficient, have determined that the materials themselves are only part of the solution.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.