Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (27)
- Building Technologies (3)
- Clean Energy (120)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (11)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (59)
- Materials for Computing (6)
- National Security (33)
- Neutron Science (18)
- Nuclear Science and Technology (9)
- Quantum information Science (2)
- Supercomputing (85)
News Topics
- (-) Artificial Intelligence (91)
- (-) Big Data (55)
- (-) Buildings (57)
- (-) Cybersecurity (35)
- (-) Energy Storage (109)
- (-) Frontier (42)
- (-) Isotopes (53)
- (-) Space Exploration (25)
- 3-D Printing/Advanced Manufacturing (122)
- Advanced Reactors (34)
- Bioenergy (92)
- Biology (99)
- Biomedical (58)
- Biotechnology (22)
- Chemical Sciences (65)
- Clean Water (29)
- Climate Change (100)
- Composites (26)
- Computer Science (189)
- Coronavirus (46)
- Critical Materials (26)
- Decarbonization (80)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Environment (195)
- Exascale Computing (37)
- Fossil Energy (6)
- Fusion (55)
- Grid (63)
- High-Performance Computing (85)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Machine Learning (48)
- Materials (144)
- Materials Science (141)
- Mathematics (8)
- Mercury (12)
- Microelectronics (3)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (62)
- Net Zero (14)
- Neutron Science (131)
- Nuclear Energy (109)
- Partnerships (44)
- Physics (61)
- Polymers (33)
- Quantum Computing (34)
- Quantum Science (69)
- Renewable Energy (2)
- Security (24)
- Simulation (48)
- Software (1)
- Statistics (3)
- Summit (57)
- Sustainable Energy (126)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.
The use of lithium-ion batteries has surged in recent years, starting with electronics and expanding into many applications, including the growing electric and hybrid vehicle industry. But the technologies to optimize recycling of these batteries have not kept pace.
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
A University of South Carolina research team is investigating the oxygen reduction performance of energy conversion materials called perovskites by using neutron diffraction at Oak Ridge National Laboratory’s Spallation Neutron Source.
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
OAK RIDGE, Tenn., Jan. 31, 2019—A new electron microscopy technique that detects the subtle changes in the weight of proteins at the nanoscale—while keeping the sample intact—could open a new pathway for deeper, more comprehensive studies of the basic building blocks of life.
By automating the production of neptunium oxide-aluminum pellets, Oak Ridge National Laboratory scientists have eliminated a key bottleneck when producing plutonium-238 used by NASA to fuel deep space exploration.
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.