Filter News
Area of Research
- (-) Clean Energy (55)
- Advanced Manufacturing (1)
- Biology and Environment (28)
- Building Technologies (3)
- Climate and Environmental Systems (3)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (6)
- Isotopes (1)
- Materials (14)
- Materials for Computing (2)
- Mathematics (1)
- National Security (4)
- Neutron Science (5)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (12)
News Type
News Topics
- (-) Buildings (16)
- (-) Environment (23)
- (-) Fusion (1)
- (-) Grid (17)
- (-) Hydropower (2)
- (-) Machine Learning (4)
- (-) Molten Salt (1)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (2)
- Artificial Intelligence (4)
- Big Data (3)
- Bioenergy (5)
- Biology (4)
- Biomedical (2)
- Biotechnology (1)
- Chemical Sciences (6)
- Clean Water (4)
- Climate Change (8)
- Composites (11)
- Computer Science (12)
- Coronavirus (4)
- Critical Materials (5)
- Cybersecurity (1)
- Decarbonization (6)
- Energy Storage (32)
- Frontier (1)
- High-Performance Computing (3)
- Isotopes (1)
- Materials (20)
- Materials Science (15)
- Mathematics (1)
- Mercury (1)
- Microscopy (4)
- Nanotechnology (5)
- Net Zero (1)
- Neutron Science (2)
- Nuclear Energy (2)
- Partnerships (1)
- Physics (1)
- Polymers (7)
- Simulation (2)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (34)
- Transformational Challenge Reactor (1)
- Transportation (32)
Media Contacts
Higher carbon dioxide levels caused 30 percent more wood growth in young forest stands across the temperate United States over a decade, according to an analysis led by Oak Ridge National Laboratory.
![Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w](/sites/default/files/styles/list_page_thumbnail/public/rs2019_highlight_plot_3d.png?itok=5bROV_ys)
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
![hvac_grid03.png hvac_grid03.png](/sites/default/files/styles/list_page_thumbnail/public/hvac_grid03.png?itok=ysav4oYi)
Oak Ridge National Laboratory scientists have devised a method to control the heating and cooling systems of a large network of buildings for power grid stability—all while ensuring the comfort of occupants.
![Methanogen_mercury_study3.jpg Methanogen_mercury_study3.jpg](/sites/default/files/styles/list_page_thumbnail/public/Methanogen_mercury_study3.jpg?itok=a79hsOOv)
Biologists from Oak Ridge National Laboratory and the Smithsonian Environmental Research Center have confirmed that microorganisms called methanogens can transform mercury into the neurotoxin methylmercury with varying efficiency across species.
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
Through a network that consists of hundreds of low-cost monitors that plug into standard 110-volt outlets, GridEye can play a role in ensuring the reliability of the nation's power grids. The system, developed by researchers at Oak Ridge National Laboratory, provides real-time information about dyna...