![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- (-) Clean Energy (44)
- (-) Isotopes (2)
- Advanced Manufacturing (2)
- Biology and Environment (17)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (3)
- Fusion Energy (6)
- Materials (13)
- Materials for Computing (1)
- Mathematics (1)
- National Security (2)
- Neutron Science (4)
- Nuclear Science and Technology (3)
- Quantum information Science (3)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (9)
- Transportation Systems (1)
News Topics
- (-) Clean Water (4)
- (-) Climate Change (6)
- (-) Decarbonization (4)
- (-) Energy Storage (22)
- (-) Grid (15)
- (-) Hydropower (2)
- (-) Machine Learning (2)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (23)
- Artificial Intelligence (1)
- Big Data (1)
- Bioenergy (2)
- Biology (2)
- Biomedical (2)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Composites (9)
- Computer Science (9)
- Coronavirus (2)
- Critical Materials (4)
- Environment (15)
- High-Performance Computing (1)
- Irradiation (1)
- Isotopes (3)
- Materials (13)
- Materials Science (9)
- Mathematics (1)
- Mercury (1)
- Microscopy (2)
- Nanotechnology (1)
- Net Zero (1)
- Nuclear Energy (1)
- Polymers (5)
- Simulation (1)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (26)
Media Contacts
![The proposed Battery Identity Global Passport suggests a scannable QR code or other digital tag affixed to Li-ion batteries to identify materials for efficient end-of-life recycling. Credit: Andy Sproles, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-03/batteryRecycle3_0.png?h=53ec4ef3&itok=3cQV5K4R)
Scientists at Oak Ridge National Laboratory have devised a method to identify the unique chemical makeup of every lithium-ion battery around the world, information that could accelerate recycling, recover critical materials and resolve a growing waste stream.
![Urban climate modeling](/sites/default/files/styles/list_page_thumbnail/public/2021-03/urbanclimate_sized.jpeg?h=0d9d21a1&itok=-ICe9HqY)
Researchers at Oak Ridge National Laboratory have identified a statistical relationship between the growth of cities and the spread of paved surfaces like roads and sidewalks. These impervious surfaces impede the flow of water into the ground, affecting the water cycle and, by extension, the climate.
![ORNL researchers used an electrochemical process to heal dendrites that formed in a ceramic, garnet-based catalyst designed for a solid-state lithium battery. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/dendrite02.jpg?h=c3a160c7&itok=vJQ4TZ1d)
Scientists at Oak Ridge National Laboratory successfully demonstrated a technique to heal dendrites that formed in a solid electrolyte, resolving an issue that can hamper the performance of high energy-density, solid-state batteries.
![ORNL researchers are developing a method to print low-cost, high-fidelity, customizable sensors for monitoring power grid equipment. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/SAW%20sensors%202021-P01084_0.jpg?h=8f9cfe54&itok=H3Fe6A_G)
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
![ORNL welder Devin Johnson uses a new orbital welder to seal a hollow target in a glovebox in the lab’s Radiochemical Engineering Development Center. The new welder makes a clean seam on the metal target, eliminating the need for hand-finishing afterward. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/2021-P00359.jpg?h=8f9cfe54&itok=_g8_FpZZ)
A better way of welding targets for Oak Ridge National Laboratory’s plutonium-238 production has sped up the process and improved consistency and efficiency. This advancement will ultimately benefit the lab’s goal to make enough Pu-238 – the isotope that powers NASA’s deep space missions – to yield 1.5 kilograms of plutonium oxide annually by 2026.
![Pella Marion](/sites/default/files/styles/list_page_thumbnail/public/2021-03/WMMPA%20Pella%20Marion%20790_Small.jpg?h=f14a4ec1&itok=ItU-Ca6U)
A new Department of Energy report produced by Oak Ridge National Laboratory details national and international trends in hydropower, including the role waterpower plays in enhancing the flexibility and resilience of the power grid.
![The TRITON model provides a detailed visualization of the flooding that resulted when Hurricane Harvey stalled over Houston for four days in 2017. Credit: Mario Morales-Hernández/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/TRITON%20screenshot.png?h=4a7d1ed4&itok=IEra5eDk)
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.
![SPRUCE experiment](/sites/default/files/styles/list_page_thumbnail/public/2020-08/SPRUCE_0.png?h=9afda364&itok=zCibJUsI)
Oak Ridge National Laboratory scientists evaluating northern peatland responses to environmental change recorded extraordinary fine-root growth with increasing temperatures, indicating that this previously hidden belowground mechanism may play an important role in how carbon-rich peatlands respond to warming.
![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.
![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.