Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (40)
- Clean Energy (71)
- Climate and Environmental Systems (4)
- Computational Engineering (2)
- Computer Science (11)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (13)
- Fusion Energy (8)
- Isotopes (1)
- Materials (46)
- Materials for Computing (6)
- Mathematics (1)
- National Security (12)
- Neutron Science (14)
- Nuclear Science and Technology (6)
- Quantum information Science (5)
- Sensors and Controls (1)
- Supercomputing (36)
News Type
News Topics
- (-) Big Data (25)
- (-) Chemical Sciences (37)
- (-) Environment (85)
- (-) Fusion (23)
- (-) Grid (37)
- (-) Machine Learning (23)
- (-) Molten Salt (7)
- (-) Quantum Science (39)
- 3-D Printing/Advanced Manufacturing (79)
- Advanced Reactors (25)
- Artificial Intelligence (42)
- Bioenergy (39)
- Biology (40)
- Biomedical (29)
- Biotechnology (10)
- Buildings (32)
- Clean Water (14)
- Climate Change (43)
- Composites (19)
- Computer Science (99)
- Coronavirus (28)
- Critical Materials (21)
- Cybersecurity (21)
- Decarbonization (27)
- Education (3)
- Element Discovery (1)
- Energy Storage (73)
- Exascale Computing (13)
- Fossil Energy (1)
- Frontier (17)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (3)
- Isotopes (23)
- ITER (5)
- Materials (101)
- Materials Science (84)
- Mathematics (1)
- Mercury (5)
- Microscopy (29)
- Nanotechnology (40)
- National Security (21)
- Net Zero (4)
- Neutron Science (83)
- Nuclear Energy (49)
- Partnerships (27)
- Physics (28)
- Polymers (21)
- Quantum Computing (13)
- Renewable Energy (1)
- Security (12)
- Simulation (17)
- Software (1)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Sustainable Energy (77)
- Transformational Challenge Reactor (4)
- Transportation (64)
Media Contacts
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.
ORNL researchers are working to make EV charging more resilient by developing algorithms to deal with both internal and external triggers of charger failure. This will help charging stations remain available to traveling EV drivers, reducing range anxiety.
ORNL was front and center recently at one of the world’s largest optical networking conferences, the 2024 Optic Fiber Communication Conference and Exhibition, or OFC. ORNL researchers had major roles at the OFC 2024, a three-day event held in San Diego, California from March 26-28 which featured thousands of the world’s leading optical communications and networking professionals.
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.
Chuck Greenfield, former assistant director of the DIII-D National Fusion Program at General Atomics, has joined ORNL as ITER R&D Lead.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
In a win for chemistry, inventors at ORNL have designed a closed-loop path for synthesizing an exceptionally tough carbon-fiber-reinforced polymer, or CFRP, and later recovering all of its starting materials.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane and nitrous oxide