Filter News
Area of Research
- Biology and Environment (47)
- Biology and Soft Matter (1)
- Clean Energy (95)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (5)
- Isotopes (2)
- Materials (49)
- Materials for Computing (5)
- Mathematics (1)
- National Security (7)
- Neutron Science (7)
- Supercomputing (28)
News Topics
- (-) Climate Change (96)
- (-) Critical Materials (25)
- (-) Energy Storage (108)
- 3-D Printing/Advanced Manufacturing (117)
- Advanced Reactors (34)
- Artificial Intelligence (89)
- Big Data (51)
- Bioenergy (89)
- Biology (97)
- Biomedical (58)
- Biotechnology (22)
- Buildings (55)
- Chemical Sciences (61)
- Clean Water (29)
- Composites (25)
- Computer Science (185)
- Coronavirus (46)
- Cybersecurity (35)
- Decarbonization (76)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Environment (193)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (42)
- Fusion (53)
- Grid (61)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (50)
- ITER (7)
- Machine Learning (47)
- Materials (141)
- Materials Science (137)
- Mathematics (7)
- Mercury (12)
- Microelectronics (2)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (60)
- Net Zero (12)
- Neutron Science (130)
- Nuclear Energy (105)
- Partnerships (41)
- Physics (59)
- Polymers (31)
- Quantum Computing (31)
- Quantum Science (66)
- Renewable Energy (2)
- Security (24)
- Simulation (45)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (57)
- Sustainable Energy (122)
- Transformational Challenge Reactor (7)
- Transportation (94)
Media Contacts
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
Researchers at ORNL are developing battery technologies to fight climate change in two ways, by expanding the use of renewable energy and capturing airborne carbon dioxide.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
A collection of seven technologies for lithium recovery developed by scientists from ORNL has been licensed to Element3, a Texas-based company focused on extracting lithium from wastewater produced by oil and gas production.
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
An international team using neutrons set the first benchmark (one nanosecond) for a polymer-electrolyte and lithium-salt mixture. Findings could produce safer, more powerful lithium batteries.