Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Energy Science (9)
- Functional Materials for Energy (1)
- Materials (8)
- National Security (12)
- Neutron Science (3)
- Nuclear Science and Technology (3)
- Supercomputing (15)
News Topics
- (-) Machine Learning (67)
- 3-D Printing/Advanced Manufacturing (143)
- Advanced Reactors (40)
- Artificial Intelligence (124)
- Big Data (77)
- Bioenergy (110)
- Biology (126)
- Biomedical (73)
- Biotechnology (37)
- Buildings (73)
- Chemical Sciences (84)
- Clean Water (32)
- Composites (33)
- Computer Science (223)
- Coronavirus (48)
- Critical Materials (29)
- Cybersecurity (35)
- Education (5)
- Element Discovery (1)
- Emergency (4)
- Energy Storage (114)
- Environment (217)
- Exascale Computing (64)
- Fossil Energy (8)
- Frontier (62)
- Fusion (65)
- Grid (74)
- High-Performance Computing (128)
- Hydropower (12)
- Irradiation (3)
- Isotopes (62)
- ITER (9)
- Materials (156)
- Materials Science (156)
- Mathematics (12)
- Mercury (12)
- Microelectronics (4)
- Microscopy (56)
- Molten Salt (10)
- Nanotechnology (62)
- National Security (86)
- Neutron Science (169)
- Nuclear Energy (121)
- Partnerships (66)
- Physics (68)
- Polymers (34)
- Quantum Computing (52)
- Quantum Science (88)
- Security (30)
- Simulation (64)
- Software (1)
- Space Exploration (26)
- Statistics (4)
- Summit (70)
- Transportation (102)
Media Contacts

ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.

ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.

Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.

A novel method to 3D print components for nuclear reactors, developed by the Department of Energy’s Oak Ridge National Laboratory, has been licensed by Ultra Safe Nuclear Corporation.

A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.

The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.

Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.

ORNL has added 10 virtual tours to its campus map, each with multiple views to show floor plans, rotating dollhouse views and 360-degree navigation. As a user travels through a map, pop-out informational windows deliver facts, videos, graphics and links to other related content.

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.

It’s a new type of nuclear reactor core. And the materials that will make it up are novel — products of Oak Ridge National Laboratory’s advanced materials and manufacturing technologies.