Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (48)
- Building Technologies (2)
- Clean Energy (93)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (6)
- Energy Sciences (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotopes (1)
- Materials (48)
- Materials for Computing (12)
- Mathematics (1)
- National Security (16)
- Neutron Science (11)
- Nuclear Science and Technology (1)
- Supercomputing (49)
News Type
News Topics
- (-) Environment (81)
- (-) Frontier (16)
- (-) Machine Learning (25)
- (-) Microscopy (27)
- (-) National Security (21)
- (-) Polymers (21)
- (-) Summit (27)
- (-) Sustainable Energy (75)
- 3-D Printing/Advanced Manufacturing (76)
- Advanced Reactors (23)
- Artificial Intelligence (47)
- Big Data (24)
- Bioenergy (39)
- Biology (40)
- Biomedical (28)
- Biotechnology (11)
- Buildings (35)
- Chemical Sciences (43)
- Clean Water (15)
- Climate Change (46)
- Composites (20)
- Computer Science (100)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (31)
- Education (3)
- Element Discovery (1)
- Energy Storage (74)
- Exascale Computing (11)
- Fossil Energy (2)
- Fusion (25)
- Grid (36)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Materials (94)
- Materials Science (86)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Molten Salt (8)
- Nanotechnology (38)
- Net Zero (5)
- Neutron Science (78)
- Nuclear Energy (46)
- Partnerships (30)
- Physics (28)
- Quantum Computing (14)
- Quantum Science (37)
- Renewable Energy (1)
- Security (12)
- Simulation (16)
- Space Exploration (13)
- Statistics (2)
- Transformational Challenge Reactor (4)
- Transportation (61)
Media Contacts
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
ORNL researchers have produced the most comprehensive power outage dataset ever compiled for the United States. This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.
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.
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.
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.
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.
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.