Filter News
Area of Research
- (-) Clean Energy (151)
- (-) Supercomputing (83)
- Advanced Manufacturing (4)
- Biology and Environment (112)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (6)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (2)
- Fusion and Fission (26)
- Fusion Energy (13)
- Isotopes (1)
- Materials (93)
- Materials for Computing (15)
- Mathematics (1)
- National Security (33)
- Neutron Science (101)
- Nuclear Science and Technology (12)
- Quantum information Science (8)
- Sensors and Controls (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Climate Change (34)
- (-) Environment (60)
- (-) Fusion (2)
- (-) Grid (39)
- (-) Machine Learning (18)
- (-) Microscopy (14)
- (-) Neutron Science (18)
- (-) Quantum Science (24)
- (-) Transportation (64)
- 3-D Printing/Advanced Manufacturing (75)
- Advanced Reactors (6)
- Artificial Intelligence (39)
- Big Data (20)
- Bioenergy (29)
- Biology (19)
- Biomedical (21)
- Biotechnology (6)
- Buildings (33)
- Chemical Sciences (16)
- Clean Water (8)
- Composites (16)
- Computer Science (104)
- Coronavirus (24)
- Critical Materials (11)
- Cybersecurity (14)
- Decarbonization (31)
- Energy Storage (70)
- Exascale Computing (21)
- Fossil Energy (2)
- Frontier (26)
- High-Performance Computing (35)
- Hydropower (2)
- Isotopes (1)
- Materials (43)
- Materials Science (38)
- Mathematics (3)
- Mercury (3)
- Microelectronics (1)
- Molten Salt (1)
- Nanotechnology (15)
- National Security (11)
- Net Zero (4)
- Nuclear Energy (11)
- Partnerships (12)
- Physics (7)
- Polymers (13)
- Quantum Computing (19)
- Renewable Energy (1)
- Security (9)
- Simulation (14)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Summit (42)
- Sustainable Energy (67)
- Transformational Challenge Reactor (3)
Media Contacts
![ZEISS Head of Additive Manufacturing Technology Claus Hermannstaedter, left, and ORNL Interim Associate Laboratory Director for Energy Science and Technology Rick Raines sign a licensing agreement that allows ORNL’s machine-learning algorithm, Simurgh, to be used for rapid evaluations of 3D-printed components with industrial X-ray computed tomography, or CT. Using machine learning in CT scanning is expected to reduce the time and cost of inspections of 3D-printed parts by more than ten times.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/ZEISS%20signing%20handshake_0.jpg?h=c6980913&itok=4J8nVrPc)
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine
![Jonathan Harter, a technical professional in ORNL’s Engineering Science and Technology Directorate, uses a robot and other automated methods to disassemble electric vehicle batteries for recycling or reuse in the electric grid. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2021-P06328_0.jpg?h=036a71b7&itok=elZeutaQ)
After being stabilized in an ambulance as he struggled to breathe, Jonathan Harter hit a low point. It was 2020, he was very sick with COVID-19, and his job as a lab technician at ORNL was ending along with his research funding.
![Yarom Polsky studio portrait](/sites/default/files/styles/list_page_thumbnail/public/2023-07/Yarom%20Polsky_0.jpg?h=0e6c7b49&itok=9H4BJ5Wm)
Yarom Polsky, director of the Manufacturing Science Division, or MSD, at the Department of Energy’s Oak Ridge National Laboratory, has been elected a Fellow of the American Society of Mechanical Engineers, or ASME.
![Clouds of gray smoke in the lower left are funneled northward from wildfires in Western Canada, reaching the edge of the sea ice covering the Arctic Ocean. A second path of thick smoke is visible at the top center of the image, emanating from wildfires in the boreal areas of Russia’s Far East, in this image captured on July 13, 2023. Credit: NASA MODIS](/sites/default/files/styles/list_page_thumbnail/public/2023-07/NASA%20Arctic%20Circle%20wildfire%20smoke_image07182023_1km_1.jpg?h=dbdc3f84&itok=oHQVs6Bn)
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
![ORNL researchers used geotagged photos to map crude oil train routes in the U.S. The mapping gives transportation planners insight into understanding potential impacts along the routes. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-07/trainMap%5B69%5D.png?h=804c67fb&itok=LM393FRy)
Oak Ridge National Laboratory researchers used images from a photo-sharing website to identify crude oil train routes across the nation to provide data that could help transportation planners better understand regional impacts.
![This map illustrates the natural climate variability that affects the cold-season climate of the Central Southwest Asian region. Credit: Moetasim Ashfaq/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-07/moet_pr_v2.png?h=0bda418b&itok=V62vm4cC)
As extreme weather devastates communities worldwide, scientists are using modeling and simulation to understand how climate change impacts the frequency and intensity of these events. Although long-term climate projections and models are important, they are less helpful for short-term prediction of extreme weather that may rapidly displace thousands of people or require emergency aid.
![small power module](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2023-P08143_0.jpg?h=c6980913&itok=Si2ShyhX)
Researchers at the Department of Energy’s Oak Ridge National Laboratory are supporting the grid by improving its smallest building blocks: power modules that act as digital switches.
![TIP graphic](/sites/default/files/styles/list_page_thumbnail/public/2023-06/TIPbg_1200.png?h=da33fe38&itok=y7ggwHLV)
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
![ORNL researchers have enabled standard raised pavement markers to transmit GPS information that helps autonomous driving features function better in remote areas or in bad weather. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/markers_0.jpg?h=804c67fb&itok=xstjOxQo)
Working with Western Michigan University and other partners, ORNL engineers are placing low-powered sensors in the reflective raised pavement markers that are already used to help drivers identify lanes. Microchips inside the markers transmit information to passing cars about the road shape to help autonomous driving features function even when vehicle cameras or remote laser sensing, called LiDAR, are unreliable because of fog, snow, glare or other obstructions.
![CFM’s RISE open fan engine architecture. Image: GE Aerospace](/sites/default/files/styles/list_page_thumbnail/public/2023-06/02-CFM_RISE_Program_Open_Fan%5B1%5D_0.jpg?h=790be497&itok=Ulzp5W_p)
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.