
Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (11)
- Computational Engineering (1)
- Computer Science (1)
- Energy Science (24)
- Fusion and Fission (3)
- Isotopes (2)
- Materials (26)
- Materials for Computing (4)
- National Security (12)
- Neutron Science (41)
- Nuclear Science and Technology (2)
- Sensors and Controls (1)
- Supercomputing (25)
News Type
News Topics
- (-) Artificial Intelligence (35)
- (-) Biomedical (17)
- (-) Grid (16)
- (-) Neutron Science (54)
- (-) Security (12)
- 3-D Printing/Advanced Manufacturing (48)
- Advanced Reactors (12)
- Big Data (8)
- Bioenergy (25)
- Biology (26)
- Biotechnology (10)
- Buildings (15)
- Chemical Sciences (35)
- Clean Water (2)
- Composites (12)
- Computer Science (63)
- Coronavirus (17)
- Critical Materials (11)
- Cybersecurity (17)
- Education (3)
- Element Discovery (1)
- Energy Storage (43)
- Environment (38)
- Exascale Computing (13)
- Fossil Energy (1)
- Frontier (16)
- Fusion (17)
- High-Performance Computing (32)
- Isotopes (20)
- ITER (2)
- Machine Learning (13)
- Materials (60)
- Materials Science (56)
- Mercury (2)
- Microelectronics (1)
- Microscopy (17)
- Molten Salt (3)
- Nanotechnology (29)
- National Security (18)
- Nuclear Energy (28)
- Partnerships (31)
- Physics (26)
- Polymers (13)
- Quantum Computing (13)
- Quantum Science (31)
- Simulation (10)
- Space Exploration (3)
- Statistics (1)
- Summit (22)
- Transportation (26)
Media Contacts
To help reduce the likelihood of losing future cultivated crops to drought and other seasonal hardships, researchers from ORNL, Budapest and Hungary are using neutrons, light microscopy and transmission electron microscopy to study the 'Never Never' plant, known for its ability to endure periods of little to no rain.

A team of scientists led by a professor from Duke University discovered a way to help make batteries safer, charge faster and last longer. They relied on neutrons at ORNL to understand at the atomic scale how lithium moves in lithium phosphorus sulfur chloride, a promising new type of solid-state battery material known as a superionic compound.

The Department of Energy announced a $67 million investment in several AI projects from institutions in both government and academia as part of its AI for Science initiative. Six ORNL-led (or co-led) projects received funding.

Oak Ridge National Laboratory has launched its Neutron Nexus pilot program with Florida Agricultural & Mechanical University and Florida State University through the FAMU-FSU College of Engineering. The first program of its kind nationwide, it’s aimed at broadening and diversifying the scientific user community with outreach to universities and colleges.

A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.

A new technical collaboration program at the Department of Energy’s Oak Ridge National Laboratory will help businesses develop and launch electric grid innovations. Sponsored by the Transformer Resilience and Advanced Components program in DOE’s Office of Electricity, the initiative will provide companies with access to national laboratory resources, enabling them to capture market opportunities.

U2opia Technology has licensed Situ and Heartbeat, a package of technologies from the Department of Energy’s Oak Ridge National Laboratory that offer a new method for advanced cybersecurity monitoring in real time.

ORNL’s Matthew Loyd will receive a Department of Energy Office of Science Early Career Research award.

A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.

DOE commissioned a neutron imaging instrument, VENUS, at the Spallation Neutron Source in July. VENUS instrument scientists will use AI to deliver 3D models to researchers in half the time it typically takes.