Filter News
Area of Research
- (-) Materials (93)
- (-) Nuclear Science and Technology (21)
- (-) Supercomputing (137)
- Advanced Manufacturing (3)
- Biology and Environment (67)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (127)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (16)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials for Computing (16)
- Mathematics (1)
- National Security (34)
- Neutron Science (28)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
News Topics
- (-) Advanced Reactors (15)
- (-) Chemical Sciences (32)
- (-) Climate Change (21)
- (-) Computer Science (99)
- (-) Cybersecurity (9)
- (-) Energy Storage (37)
- (-) Frontier (28)
- (-) Isotopes (16)
- (-) Quantum Science (32)
- (-) Space Exploration (10)
- 3-D Printing/Advanced Manufacturing (28)
- Artificial Intelligence (38)
- Big Data (19)
- Bioenergy (18)
- Biology (14)
- Biomedical (23)
- Biotechnology (2)
- Buildings (8)
- Clean Water (3)
- Composites (9)
- Coronavirus (17)
- Critical Materials (15)
- Decarbonization (11)
- Environment (35)
- Exascale Computing (22)
- Fusion (16)
- Grid (9)
- High-Performance Computing (40)
- Irradiation (1)
- ITER (1)
- Machine Learning (14)
- Materials (79)
- Materials Science (84)
- Mathematics (1)
- Microscopy (29)
- Molten Salt (7)
- Nanotechnology (42)
- National Security (8)
- Net Zero (2)
- Neutron Science (46)
- Nuclear Energy (52)
- Partnerships (11)
- Physics (36)
- Polymers (18)
- Quantum Computing (20)
- Renewable Energy (1)
- Security (6)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (19)
- Transformational Challenge Reactor (5)
- Transportation (19)
Media Contacts
For the first time, Oak Ridge National Laboratory has completed testing of nuclear fuels using MiniFuel, an irradiation vehicle that allows for rapid experimentation.
A team led by scientists at the Department of Energy’s Oak Ridge National Laboratory explored how atomically thin two-dimensional (2D) crystals can grow over 3D objects and how the curvature of those objects can stretch and strain the
Environmental conditions, lifestyle choices, chemical exposure, and foodborne and airborne pathogens are among the external factors that can cause disease. In contrast, internal genetic factors can be responsible for the onset and progression of diseases ranging from degenerative neurological disorders to some cancers.
OAK RIDGE, Tenn., May 7, 2019—The U.S. Department of Energy today announced a contract with Cray Inc. to build the Frontier supercomputer at Oak Ridge National Laboratory, which is anticipated to debut in 2021 as the world’s most powerful computer with a performance of greater than 1.5 exaflops.
OAK RIDGE, Tenn., May 7, 2019—Energy Secretary Rick Perry, Congressman Chuck Fleischmann and lab officials today broke ground on a multipurpose research facility that will provide state-of-the-art laboratory space
Using Summit, the world’s most powerful supercomputer housed at Oak Ridge National Laboratory, a team led by Argonne National Laboratory ran three of the largest cosmological simulations known to date.
In a step toward advancing small modular nuclear reactor designs, scientists at Oak Ridge National Laboratory have run reactor simulations on ORNL supercomputer Summit with greater-than-expected computational efficiency.
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.