
Filter News
Area of Research
- Biology and Environment (11)
- Computational Engineering (1)
- Computer Science (1)
- Energy Science (19)
- Fusion and Fission (4)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (48)
- Materials Characterization (1)
- Materials for Computing (6)
- Materials Under Extremes (1)
- National Security (3)
- Neutron Science (43)
- Nuclear Science and Technology (3)
- Supercomputing (15)
News Type
News Topics
- (-) Biomedical (17)
- (-) Materials Science (56)
- (-) Neutron Science (54)
- 3-D Printing/Advanced Manufacturing (48)
- Advanced Reactors (12)
- Artificial Intelligence (35)
- 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)
- Grid (16)
- High-Performance Computing (32)
- Isotopes (20)
- ITER (2)
- Machine Learning (13)
- Materials (60)
- 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)
- Security (12)
- Simulation (10)
- Space Exploration (3)
- Statistics (1)
- Summit (22)
- Transportation (26)
Media Contacts

Researchers at ORNL have developed an innovative new technique using carbon nanofibers to enhance binding in carbon fiber and other fiber-reinforced polymer composites – an advance likely to improve structural materials for automobiles, airplanes and other applications that require lightweight and strong materials.
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.

Working at nanoscale dimensions, billionths of a meter in size, a team of scientists led by ORNL revealed a new way to measure high-speed fluctuations in magnetic materials. Knowledge obtained by these new measurements could be used to advance technologies ranging from traditional computing to the emerging field of quantum computing.

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.

P&G is using simulations on the ORNL Summit supercomputer to study how surfactants in cleaners cause eye irritation. By modeling the corneal epithelium, P&G aims to develop safer, concentrated cleaning products that meet performance and safety standards while supporting sustainability goals.

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.

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.