Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (51)
- Biology and Soft Matter (1)
- Clean Energy (45)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (13)
- Isotope Development and Production (2)
- Isotopes (28)
- Materials (68)
- Materials for Computing (3)
- Mathematics (1)
- National Security (37)
- Neutron Science (25)
- Nuclear Science and Technology (43)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (2)
- Supercomputing (91)
News Topics
- (-) Advanced Reactors (34)
- (-) Artificial Intelligence (101)
- (-) Climate Change (105)
- (-) Cybersecurity (35)
- (-) Frontier (45)
- (-) Irradiation (3)
- (-) Isotopes (57)
- (-) Molten Salt (9)
- (-) Nuclear Energy (111)
- (-) Physics (64)
- (-) Space Exploration (25)
- 3-D Printing/Advanced Manufacturing (128)
- Big Data (60)
- Bioenergy (92)
- Biology (101)
- Biomedical (61)
- Biotechnology (24)
- Buildings (67)
- Chemical Sciences (73)
- Clean Water (31)
- Composites (30)
- Computer Science (198)
- Coronavirus (46)
- Critical Materials (29)
- Decarbonization (85)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (200)
- Exascale Computing (42)
- Fossil Energy (6)
- Fusion (58)
- Grid (66)
- High-Performance Computing (93)
- Hydropower (11)
- ITER (7)
- Machine Learning (50)
- Materials (147)
- Materials Science (146)
- Mathematics (9)
- Mercury (12)
- Microelectronics (4)
- Microscopy (51)
- Nanotechnology (60)
- National Security (72)
- Net Zero (14)
- Neutron Science (137)
- Partnerships (51)
- Polymers (33)
- Quantum Computing (37)
- Quantum Science (72)
- Renewable Energy (2)
- Security (25)
- Simulation (51)
- Software (1)
- Statistics (3)
- Summit (59)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
- Transportation (99)
Media Contacts
Kevin Field at the Department of Energy’s Oak Ridge National Laboratory synthesizes and scrutinizes materials for nuclear power systems that must perform safely and efficiently over decades of irradiation.
OAK RIDGE, Tenn., March 11, 2019—An international collaboration including scientists at the Department of Energy’s Oak Ridge National Laboratory solved a 50-year-old puzzle that explains why beta decays of atomic nuclei
Oak Ridge National Laboratory is using ultrasonic additive manufacturing to embed highly accurate fiber optic sensors in heat- and radiation-resistant materials, allowing for real-time monitoring that could lead to greater insights and safer reactors.
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.
More than 1800 years ago, Chinese astronomers puzzled over the sudden appearance of a bright “guest star” in the sky, unaware that they were witnessing the cosmic forge of a supernova, an event repeated countless times scattered across the universe.
Scientists have tested a novel heat-shielding graphite foam, originally created at Oak Ridge National Laboratory, at Germany’s Wendelstein 7-X stellarator with promising results for use in plasma-facing components of fusion reactors.
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).
Oak Ridge National Laboratory scientists analyzed more than 50 years of data showing puzzlingly inconsistent trends about corrosion of structural alloys in molten salts and found one factor mattered most—salt purity.
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.