![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
News Topics
- (-) Advanced Reactors (3)
- (-) Artificial Intelligence (26)
- (-) Clean Water (5)
- (-) Coronavirus (4)
- (-) Frontier (19)
- (-) Grid (16)
- (-) Machine Learning (15)
- (-) Neutron Science (32)
- (-) Transportation (18)
- 3-D Printing/Advanced Manufacturing (20)
- Big Data (10)
- Bioenergy (22)
- Biology (29)
- Biomedical (7)
- Biotechnology (6)
- Buildings (14)
- Chemical Sciences (24)
- Climate Change (31)
- Composites (6)
- Computer Science (23)
- Critical Materials (6)
- Cybersecurity (9)
- Decarbonization (30)
- Education (3)
- Emergency (1)
- Energy Storage (21)
- Environment (43)
- Exascale Computing (15)
- Fossil Energy (2)
- Fusion (9)
- High-Performance Computing (33)
- Hydropower (3)
- Irradiation (2)
- Isotopes (11)
- Materials (59)
- Materials Science (16)
- Mathematics (2)
- Mercury (2)
- Microelectronics (2)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (21)
- Net Zero (5)
- Nuclear Energy (21)
- Partnerships (24)
- Physics (14)
- Polymers (4)
- Quantum Computing (12)
- Quantum Science (9)
- Renewable Energy (2)
- Security (3)
- Simulation (29)
- Software (1)
- Space Exploration (4)
- Summit (9)
- Sustainable Energy (17)
Media Contacts
![Mat Doucet, left, of Oak Ridge National Laboratory and Sarah Blair of the National Renewable Energy Lab used neutrons to understand an electrochemical way to produce ammonia](/sites/default/files/styles/list_page_thumbnail/public/2023-12/electrothumbnail_0.jpg?h=8ec2c545&itok=znghlL0A)
Scientists from Stanford University and the Department of Energy’s Oak Ridge National Laboratory are turning air into fertilizer without leaving a carbon footprint. Their discovery could deliver a much-needed solution to help meet worldwide carbon-neutral goals by 2050.
![Eric Nafziger, a technical staff member at the National Transportation Research Center at Oak Ridge National Laboratory’s Hardin Valley Campus, supports the installation of the largest alternative fuels research engines for marine and rail in the U.S. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2023-P16593.jpeg?h=a73d1746&itok=jpdVXbUY)
Within the Department of Energy’s National Transportation Research Center at ORNL’s Hardin Valley Campus, scientists investigate engines designed to help the U.S. pivot to a clean mobility future.
![Sangkeun “Matt” Lee received the Best Poster Award at the Institute of Electrical and Electronics Engineers 24th International Conference on Information Reuse and Integration.](/sites/default/files/styles/list_page_thumbnail/public/2023-12/MattLee.jpg?h=4a7d1ed4&itok=V-iscVnI)
Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.
![Gina Tourassi. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-12/2023-P18395%5B30%5D_1.jpg?h=8f9cfe54&itok=pTv9bdLA)
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
![ORNL researchers are establishing a digital thread of data, algorithms and workflows to produce a continuously updated model of earth systems.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/MicrosoftTeams-image%20%2823%29_0.png?h=c6980913&itok=cK99Pg3y)
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
![A small droplet of water is suspended in midair via an electrostatic levitator that lifts charged particles using an electric field that counteracts gravity. Credit: Iowa State University/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/droplet.png?h=ddb1ad0c&itok=3nblnUcm)
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
![Frontier, the fastest supercomputer in the world, provides expansive and energy-efficient power, which gives scientists the capability to train large AI models in a responsible way.](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Frontier.jpg?h=c6980913&itok=Xugo8LTI)
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
![ORNL researchers Lu Yu and Yaocai Bai examine vials that contain a chemical solution that causes the cobalt and lithium to separate from a spent battery, followed by a second stage when cobalt precipitates in the bottom. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/2023-P12386_0.jpg?h=8f9cfe54&itok=CVJOHRVM)
Used lithium-ion batteries from cell phones, laptops and a growing number of electric vehicles are piling up, but options for recycling them remain limited mostly to burning or chemically dissolving shredded batteries.
![The Frontier exascale supercomputer at Oak Ridge National Laboratory. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/52117623843_512fd5631b_c.jpg?h=58082582&itok=N8ldUZ5g)
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
![Conceptual art depicts machine learning finding an ideal material for capacitive energy storage. Its carbon framework (black) has functional groups with oxygen (pink) and nitrogen (turquoise). Credit: Tao Wang/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/Press%20release%20image_0.jpg?h=706c9a24&itok=zX1lC5ud)
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.