![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
Area of Research
- (-) Clean Energy (57)
- (-) Materials Under Extremes (1)
- Advanced Manufacturing (6)
- Biology and Environment (43)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (110)
- Materials Characterization (1)
- Materials for Computing (20)
- National Security (21)
- Neutron Science (43)
- Nuclear Science and Technology (4)
- Quantum information Science (9)
- Supercomputing (100)
- Transportation Systems (1)
News Topics
- (-) Big Data (5)
- (-) Coronavirus (12)
- (-) Machine Learning (7)
- (-) Materials Science (27)
- (-) Microscopy (8)
- (-) Nanotechnology (8)
- (-) Quantum Science (2)
- (-) Summit (4)
- 3-D Printing/Advanced Manufacturing (78)
- Advanced Reactors (6)
- Artificial Intelligence (8)
- Bioenergy (26)
- Biology (11)
- Biomedical (6)
- Biotechnology (4)
- Buildings (36)
- Chemical Sciences (14)
- Clean Water (8)
- Climate Change (21)
- Composites (17)
- Computer Science (25)
- Critical Materials (9)
- Cybersecurity (8)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (1)
- Grid (40)
- High-Performance Computing (6)
- Hydropower (2)
- Isotopes (1)
- Materials (36)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- Molten Salt (1)
- National Security (5)
- Net Zero (3)
- Neutron Science (11)
- Nuclear Energy (7)
- Partnerships (12)
- Physics (1)
- Polymers (11)
- Renewable Energy (1)
- Security (6)
- Simulation (4)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (69)
- Transformational Challenge Reactor (3)
- Transportation (65)
Media Contacts
![Emma Betters Thumbnail](/sites/default/files/styles/list_page_thumbnail/public/2020-10/emma%20betters_sized.jpg?h=e91a75a9&itok=k1X4xVjl)
Growing up in Florida, Emma Betters was fascinated by rockets and for good reason. Any time she wanted to see a space shuttle launch from NASA’s nearby Kennedy Space Center, all she had to do was sit on her front porch.
![Jianlin Li employs ORNL’s world-class battery research facility to validate the innovative safety technology. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/2020-P14810-blurred_0.jpg?h=245bf488&itok=DMmYlD02)
Soteria Battery Innovation Group has exclusively licensed and optioned a technology developed by Oak Ridge National Laboratory designed to eliminate thermal runaway in lithium ion batteries due to mechanical damage.
![ORNL researchers and energy storage startup Sparkz have developed a cobalt-free cathode material for use in lithium-ion batteries Credit: Ilias Belharouak/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-10/cobalt-sparkz_0.jpg?h=cd715a88&itok=vTU2FKUY)
Four research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received 2020 R&D 100 Awards.
![Researcher Chase Joslin uses Peregrine software to monitor and analyze a component being 3D printed at the Manufacturing Demonstration Facility at ORNL. Credit: Luke Scime/ORNL, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Peregrine%20Chase%20Joslin_0.jpg?h=51c7b451&itok=4Hc6PNwu)
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
![Cars and coronavirus](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Transportation-Gauging_pandemic_impact_ORNL_0.jpg?h=4a7d1ed4&itok=Xqx4kknO)
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
![Joe Hagerman is expanding connected neighborhood research at ORNL and envisions buildings of the future as resources capable of managing the flow and exchange of energy based on economic and market signals – a concept known as transactive energy. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Department of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-07/2020-P08672%5B2%5D_1.jpg?h=8f9cfe54&itok=CFroD1Y2)
Joe Hagerman, ORNL research lead for buildings integration and controls, understands the impact building technology innovations can have during times of crisis. Over a decade ago, he found himself in the middle of one of the most devastating natural disasters of the century, Hurricane Katrina.
![Sergei Kalinin](/sites/default/files/styles/list_page_thumbnail/public/2020-07/2019-P00126_0.png?h=5969a3b5&itok=66cucDCt)
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
![An organic solvent and water separate and form nanoclusters on the hydrophobic and hydrophilic sections of plant material, driving the efficient deconstruction of biomass. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-07/THF_high_res.gif?h=5a472534&itok=5peedFnF)
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable
![Map with focus on sub-saharan Africa](/sites/default/files/styles/list_page_thumbnail/public/2020-07/firms3-Africa-NASA_0.jpg?h=27f1d52b&itok=G8uUS5cH)
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
![Drawing of thin-film cathode technology](/sites/default/files/styles/list_page_thumbnail/public/2020-07/Solid%20state%20stability%20check-batteries.jpg?h=850c4449&itok=PNDLwIw7)
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.