Filter News
Area of Research
- (-) Biology and Environment (18)
- (-) Materials (67)
- (-) Neutron Science (23)
- Advanced Manufacturing (2)
- Clean Energy (29)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (32)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- National Security (8)
- Nuclear Science and Technology (23)
- Supercomputing (34)
News Type
News Topics
- (-) Exascale Computing (6)
- (-) ITER (1)
- (-) Materials Science (63)
- (-) Mercury (6)
- (-) Nuclear Energy (12)
- (-) Polymers (12)
- 3-D Printing/Advanced Manufacturing (24)
- Advanced Reactors (2)
- Artificial Intelligence (15)
- Big Data (10)
- Bioenergy (44)
- Biology (61)
- Biomedical (24)
- Biotechnology (11)
- Buildings (3)
- Chemical Sciences (30)
- Clean Water (11)
- Climate Change (33)
- Composites (7)
- Computer Science (37)
- Coronavirus (17)
- Critical Materials (8)
- Cybersecurity (5)
- Decarbonization (23)
- Energy Storage (30)
- Environment (84)
- Fossil Energy (1)
- Frontier (6)
- Fusion (5)
- Grid (5)
- High-Performance Computing (22)
- Hydropower (5)
- Isotopes (11)
- Machine Learning (11)
- Materials (65)
- Mathematics (3)
- Microscopy (25)
- Molten Salt (2)
- Nanotechnology (34)
- National Security (6)
- Net Zero (3)
- Neutron Science (78)
- Partnerships (12)
- Physics (28)
- Quantum Computing (3)
- Quantum Science (12)
- Renewable Energy (2)
- Security (4)
- Simulation (13)
- Space Exploration (3)
- Summit (15)
- Sustainable Energy (30)
- Transformational Challenge Reactor (3)
- Transportation (11)
Media Contacts
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
In a finding that helps elucidate how molten salts in advanced nuclear reactors might behave, scientists have shown how electrons interacting with the ions of the molten salt can form three states with different properties. Understanding these states can help predict the impact of radiation on the performance of salt-fueled reactors.
ORNL, a bastion of nuclear physics research for the past 80 years, is poised to strengthen its programs and service to the United States over the next decade if national recommendations of the Nuclear Science Advisory Committee, or NSAC, are enacted.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.
Madhavi Martin brings a physicist’s tools and perspective to biological and environmental research at the Department of Energy’s Oak Ridge National Laboratory, supporting advances in bioenergy, soil carbon storage and environmental monitoring, and even helping solve a murder mystery.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
With the world’s first exascale supercomputer now fully open for scientific business, researchers can thank the early users who helped get the machine up to speed.