Filter News
Area of Research
- (-) Clean Energy (33)
- (-) Computational Engineering (1)
- (-) Quantum information Science (1)
- Advanced Manufacturing (1)
- Biology and Environment (19)
- Computational Biology (1)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Fusion and Fission (17)
- Fusion Energy (11)
- Materials (12)
- National Security (18)
- Neutron Science (6)
- Nuclear Science and Technology (11)
- Sensors and Controls (1)
- Supercomputing (47)
News Type
News Topics
- (-) Artificial Intelligence (4)
- (-) Big Data (2)
- (-) Grid (29)
- (-) Machine Learning (3)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (2)
- Bioenergy (12)
- Biology (6)
- Biomedical (3)
- Biotechnology (2)
- Buildings (24)
- Chemical Sciences (4)
- Clean Water (7)
- Climate Change (14)
- Composites (11)
- Computer Science (21)
- Coronavirus (7)
- Critical Materials (4)
- Cybersecurity (6)
- Decarbonization (19)
- Energy Storage (41)
- Environment (33)
- Fossil Energy (1)
- High-Performance Computing (3)
- Hydropower (2)
- Materials (17)
- Materials Science (13)
- Mathematics (2)
- Mercury (2)
- Microelectronics (1)
- Microscopy (5)
- Nanotechnology (4)
- National Security (1)
- Net Zero (2)
- Neutron Science (2)
- Nuclear Energy (3)
- Partnerships (4)
- Physics (1)
- Polymers (6)
- Quantum Science (7)
- Security (3)
- Simulation (2)
- Space Exploration (3)
- Statistics (1)
- Summit (2)
- Sustainable Energy (41)
- Transportation (43)
Media Contacts
![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.
![Oak Ridge National Laboratory researchers demonstrated on Feb. 27 a 20-kilowatt, bi-directional wireless charging system on a medium-class hybrid electric delivery truck. Credit: Brittany Cramer/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-04/UPS%20Demo%20rear%20view_0.jpg?h=d6078784&itok=SOL9HQ_c)
Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) in late February demonstrated a 20-kilowatt bi-directional wireless charging system installed on a UPS medium-duty, plug-in hybrid electric delivery truck.
![Examples from the ORNL Overhead Vehicle Dataset, generated with images captured by GRIDSMART cameras. Image: Thomas Karnowski/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-02/truckgrid-corrected-1024x745.png?h=bc62b519&itok=HY9xstgl)
Each year, approximately 6 billion gallons of fuel are wasted as vehicles wait at stop lights or sit in dense traffic with engines idling, according to US Department of Energy estimates.
![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.
![The students analyzed diatom images like this one to compare wild and genetically modified strains of these organisms. Credit: Alison Pawlicki/Oak Ridge National Laboratory, US Department of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2019-11/RI4362007.png?h=37702503&itok=9lQReLRe)
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
![Isabelle Snyder standing in front of screen dislaying national map of US power grids](/sites/default/files/styles/list_page_thumbnail/public/2021-02/isabellesnyder_small.jpg?h=33dc0d3a&itok=xvqSkqXw)
Isabelle Snyder calls faults as she sees them, whether it’s modeling operations for the nation’s power grid or officiating at the US Open Tennis Championships.
![Quantum—Widening the net](/sites/default/files/styles/list_page_thumbnail/public/2019-06/2018-P04780_0.jpg?h=c6980913&itok=IRxCZtUy)
Scientists at Oak Ridge National Laboratory studying quantum communications have discovered a more practical way to share secret messages among three parties, which could ultimately lead to better cybersecurity for the electric grid
![Computing—Routing out the bugs](/sites/default/files/styles/list_page_thumbnail/public/2019-11/VA-HealthIT-2019-P04263.jpg?h=784bd909&itok=uwv091uK)
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool