Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (21)
- Clean Energy (45)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion and Fission (1)
- Fusion Energy (2)
- Isotopes (3)
- Materials (30)
- Materials for Computing (6)
- Mathematics (1)
- National Security (4)
- Neutron Science (5)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (9)
- Transportation Systems (1)
News Type
News Topics
- (-) Big Data (22)
- (-) Biomedical (19)
- (-) Clean Water (19)
- (-) Composites (11)
- (-) Grid (27)
- (-) Materials Science (45)
- (-) Mathematics (5)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (15)
- Artificial Intelligence (17)
- Bioenergy (32)
- Biology (38)
- Biotechnology (7)
- Buildings (28)
- Chemical Sciences (18)
- Climate Change (37)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- Frontier (4)
- Fusion (16)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (15)
- ITER (4)
- Machine Learning (15)
- Materials (42)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Neutron Science (35)
- Nuclear Energy (33)
- Partnerships (1)
- Physics (20)
- Polymers (14)
- Quantum Computing (5)
- Quantum Science (12)
- Security (7)
- Simulation (11)
- Space Exploration (10)
- Statistics (1)
- Summit (8)
- Sustainable Energy (57)
- Transportation (47)
Media Contacts
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
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.
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.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.