Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (41)
- Building Technologies (3)
- Clean Energy (61)
- Climate and Environmental Systems (3)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Fusion and Fission (6)
- Fusion Energy (8)
- Materials (16)
- Materials for Computing (1)
- Mathematics (1)
- National Security (7)
- Neutron Science (28)
- Nuclear Science and Technology (8)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (10)
News Type
News Topics
- (-) Advanced Reactors (15)
- (-) Buildings (28)
- (-) Climate Change (37)
- (-) Environment (80)
- (-) Fusion (16)
- (-) Grid (27)
- (-) Machine Learning (15)
- (-) Neutron Science (35)
- (-) Physics (20)
- 3-D Printing/Advanced Manufacturing (43)
- Artificial Intelligence (17)
- Big Data (22)
- Bioenergy (32)
- Biology (38)
- Biomedical (19)
- Biotechnology (7)
- Chemical Sciences (18)
- Clean Water (19)
- Composites (11)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (23)
- Energy Storage (45)
- Exascale Computing (4)
- Frontier (4)
- High-Performance Computing (20)
- Hydropower (8)
- Irradiation (2)
- Isotopes (15)
- ITER (4)
- Materials (42)
- Materials Science (45)
- Mathematics (5)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Nuclear Energy (33)
- Partnerships (1)
- 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.
A technology developed by Oak Ridge National Laboratory works to keep food refrigerated with phase change materials, or PCMs, while reducing carbon emissions by 30%.
Howard Wilson explores how to accelerate the delivery of fusion energy as Fusion Pilot Plant R&D lead at ORNL. Wilson envisions a fusion hub with ORNL at the center, bringing together the lab's unique expertise and capabilities with domestic and international partnerships to realize the potential of fusion energy.
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.
Cheekatamarla is a researcher in the Multifunctional Equipment Integration group with previous experience in product deployment. He is researching alternative energy sources such as hydrogen for cookstoves and his research supports the decarbonization of building technologies.
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.
Alyssa Carrell started her science career studying the tallest inhabitants in the forest, but today is focused on some of its smallest — the microbial organisms that play an outsized role in plant health.
ORNL’s Assaf Anyamba has spent his career using satellite images to determine where extreme weather may lead to vector-borne disease outbreaks. His work has helped the U.S. government better prepare for outbreaks that happen during periods of extended weather events such as El Niño and La Niña, climate patterns in the Pacific Ocean that can affect weather worldwide.