Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (32)
- Building Technologies (2)
- Clean Energy (72)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (9)
- Energy Sciences (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotopes (2)
- Materials (28)
- Materials for Computing (7)
- Mathematics (1)
- National Security (13)
- Neutron Science (9)
- Nuclear Science and Technology (2)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (33)
News Type
News Topics
- (-) Big Data (24)
- (-) Climate Change (44)
- (-) Machine Learning (23)
- (-) Quantum Science (36)
- (-) Security (12)
- (-) Sustainable Energy (75)
- (-) Transformational Challenge Reactor (4)
- 3-D Printing/Advanced Manufacturing (75)
- Advanced Reactors (23)
- Artificial Intelligence (42)
- Bioenergy (39)
- Biology (39)
- Biomedical (28)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (38)
- Clean Water (14)
- Composites (18)
- Computer Science (96)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (26)
- Education (3)
- Element Discovery (1)
- Energy Storage (72)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Fusion (23)
- Grid (35)
- High-Performance Computing (37)
- Hydropower (6)
- Irradiation (2)
- Isotopes (22)
- ITER (5)
- Materials (94)
- Materials Science (83)
- Mathematics (1)
- Mercury (5)
- Microscopy (27)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Nuclear Energy (44)
- Partnerships (28)
- Physics (28)
- Polymers (21)
- Quantum Computing (13)
- Renewable Energy (1)
- Simulation (15)
- Space Exploration (13)
- Statistics (3)
- Summit (26)
- Transportation (59)
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.
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.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed lubricant additives that protect both water turbine equipment and the surrounding environment.
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.
A first-ever dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released by a team of DOE scientists led by ORNL. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
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.