![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- (-) Clean Energy (46)
- Advanced Manufacturing (11)
- Biology and Environment (8)
- Building Technologies (2)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Fusion Energy (3)
- Isotopes (1)
- Materials (20)
- Materials for Computing (5)
- Mathematics (1)
- National Security (3)
- Neutron Science (23)
- Nuclear Science and Technology (4)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (18)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (23)
- (-) Big Data (1)
- (-) Computer Science (9)
- (-) Grid (15)
- (-) Machine Learning (2)
- (-) Nanotechnology (1)
- (-) Space Exploration (2)
- Artificial Intelligence (1)
- Bioenergy (2)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Coronavirus (2)
- Critical Materials (4)
- Decarbonization (4)
- Energy Storage (21)
- Environment (15)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (12)
- Materials Science (9)
- Mathematics (1)
- Mercury (1)
- Microscopy (2)
- Net Zero (1)
- Nuclear Energy (1)
- Polymers (5)
- Simulation (1)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (26)
Media Contacts
![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.
![Wireless charging – Special delivery for UPS](/sites/default/files/styles/list_page_thumbnail/public/2020-05/UPS_wireless_power_story%20tip_3000.jpg?h=3748d94f&itok=Xf2MDLEi)
Researchers at Oak Ridge National Laboratory demonstrated a 20-kilowatt bi-directional wireless charging system on a UPS plug-in hybrid electric delivery truck, advancing the technology to a larger class of vehicles and enabling a new energy storage method for fleet owners and their facilities.
![ORNL researchers developed sodium-ion batteries by pairing a high-energy oxide or phosphate cathode with a hard carbon anode and achieved 100 usage cycles at a one-hour charge and discharge rate. Credit: Mengya Li/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Sodium-ion_batteries_thumb.jpg?h=d91dfa5a&itok=gPCNMJ6R)
Researchers at ORNL demonstrated that sodium-ion batteries can serve as a low-cost, high performance substitute for rechargeable lithium-ion batteries commonly used in robotics, power tools, and grid-scale energy storage.
![Smart Neighborhood homes](/sites/default/files/styles/list_page_thumbnail/public/2020-01/04.09.TD-SMartHome_0.jpg?h=5b5a5437&itok=22S5Tle1)
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
![Shown here is a computer-aided design of the hot stamping die with visible cooling channels. Credit: Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2019-11/Built-to-last.png?h=a86e7ddf&itok=3DoSQK7P)
Researchers demonstrated that an additively manufactured hot stamping die can withstand up to 25,000 usage cycles, proving that this technique is a viable solution for production.
![Layering on the strength](/sites/default/files/styles/list_page_thumbnail/public/2019-09/Z-pinning-printed%20wall_ORNL-2_0.png?h=c8a62123&itok=EnqQdQih)
A team including Oak Ridge National Laboratory and University of Tennessee researchers demonstrated a novel 3D printing approach called Z-pinning that can increase the material’s strength and toughness by more than three and a half times compared to conventional additive manufacturing processes.
![Heat impact map](/sites/default/files/2019-07/Winter_HDD_Change_ORNL.gif)
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns
![Desalination process](/sites/default/files/styles/list_page_thumbnail/public/2019-07/hydrophopicDesal04_0.jpg?h=5473d993&itok=bUBkpGOa)
A new method developed at Oak Ridge National Laboratory improves the energy efficiency of a desalination process known as solar-thermal evaporation.
![Low-cost, compact, printed sensor that can collect and transmit data on electrical appliances for better load monitoring](/sites/default/files/styles/list_page_thumbnail/public/2019-03/2019-P01301_0.jpg?h=c6980913&itok=y0S4bq0p)
Scientists at Oak Ridge National Laboratory have developed a low-cost, printed, flexible sensor that can wrap around power cables to precisely monitor electrical loads from household appliances to support grid operations.