Filter News
Area of Research
- (-) Materials (28)
- (-) Supercomputing (27)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (19)
- Clean Energy (52)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotopes (6)
- Materials for Computing (5)
- National Security (11)
- Neutron Science (15)
- Nuclear Science and Technology (16)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Advanced Reactors (1)
- (-) Big Data (13)
- (-) Biomedical (8)
- (-) Energy Storage (7)
- (-) Grid (3)
- (-) Materials Science (20)
- (-) Nuclear Energy (11)
- Artificial Intelligence (21)
- Bioenergy (5)
- Biology (6)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (7)
- Clean Water (2)
- Climate Change (12)
- Composites (2)
- Computer Science (47)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Environment (18)
- Exascale Computing (12)
- Frontier (13)
- Fusion (2)
- High-Performance Computing (20)
- Isotopes (6)
- Machine Learning (7)
- Materials (21)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (9)
- National Security (3)
- Net Zero (1)
- Neutron Science (14)
- Partnerships (3)
- Physics (13)
- Polymers (4)
- Quantum Computing (11)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Space Exploration (2)
- Summit (21)
- Sustainable Energy (5)
- Transformational Challenge Reactor (2)
- Transportation (7)
Media Contacts
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are working to understand both the complex nature of uranium and the various oxide forms it can take during processing steps that might occur throughout the nuclear fuel cycle.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
Carbon fiber composites—lightweight and strong—are great structural materials for automobiles, aircraft and other transportation vehicles. They consist of a polymer matrix, such as epoxy, into which reinforcing carbon fibers have been embedded. Because of differences in the mecha...
Oak Ridge National Laboratory scientists have developed a crucial component for a new kind of low-cost stationary battery system utilizing common materials and designed for grid-scale electricity storage. Large, economical electricity storage systems can benefit the nation’s grid ...
A tiny vial of gray powder produced at the Department of Energy’s Oak Ridge National Laboratory is the backbone of a new experiment to study the intense magnetic fields created in nuclear collisions.
“Made in the USA.” That can now be said of the radioactive isotope molybdenum-99 (Mo-99), last made in the United States in the late 1980s. Its short-lived decay product, technetium-99m (Tc-99m), is the most widely used radioisotope in medical diagnostic imaging. Tc-99m is best known ...
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...