![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/featured_square_large/public/2024-07/2023-P08173.jpg?h=c6980913&itok=LnJLvflD)
Filter News
Area of Research
- (-) Materials (71)
- (-) Materials for Computing (12)
- (-) Neutron Science (29)
- Advanced Manufacturing (4)
- Biology and Environment (38)
- Clean Energy (79)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (26)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (5)
- National Security (57)
- Nuclear Science and Technology (15)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (71)
News Topics
- (-) Artificial Intelligence (12)
- (-) Coronavirus (14)
- (-) Cybersecurity (5)
- (-) Fusion (8)
- (-) Grid (5)
- (-) Microscopy (31)
- (-) Nanotechnology (50)
- (-) National Security (5)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (5)
- Big Data (3)
- Bioenergy (16)
- Biology (10)
- Biomedical (19)
- Biotechnology (1)
- Buildings (5)
- Chemical Sciences (37)
- Clean Water (4)
- Climate Change (6)
- Composites (10)
- Computer Science (29)
- Critical Materials (13)
- Decarbonization (10)
- Energy Storage (42)
- Environment (22)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (4)
- High-Performance Computing (6)
- Irradiation (1)
- Isotopes (14)
- ITER (1)
- Machine Learning (7)
- Materials (90)
- Materials Science (99)
- Mathematics (1)
- Molten Salt (3)
- Net Zero (1)
- Neutron Science (108)
- Nuclear Energy (18)
- Partnerships (11)
- Physics (31)
- Polymers (24)
- Quantum Computing (4)
- Quantum Science (17)
- Renewable Energy (1)
- Security (3)
- Simulation (2)
- Summit (6)
- Sustainable Energy (19)
- Transformational Challenge Reactor (3)
- Transportation (23)
Media Contacts
![Susan Hubbard, ORNL’s deputy for science and technology, and Ricardo Marc-Antoni Duncanson, founder of Marc-Antoni Racing, celebrated the company's licensing of ORNL-developed technologies during an event on Oct. 17. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-10/2022-P11258.png?h=8284b974&itok=kufDQ7m4)
Marc-Antoni Racing has licensed a collection of patented energy storage technologies developed at ORNL. The technologies focus on components that enable fast-charging, energy-dense batteries for electric and hybrid vehicles and grid storage.
![A team of researchers used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate. Credit: Jill Hemman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/covid19_jh_0_0.png?h=252f27fa&itok=c3Qts7j0)
Researchers from ORNL, the University of Tennessee at Chattanooga and Tuskegee University used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate.
![Technology Innovation Program](/sites/default/files/styles/list_page_thumbnail/public/2022-08/TIPbg_0.jpg?h=a50b7bdc&itok=_3vRlbkP)
Five technologies invented by scientists at the Department of Energy’s Oak Ridge National Laboratory have been selected for targeted investment through ORNL’s Technology Innovation Program.
![ORNL’s RapidCure improves lithium-ion electrode production by producing electrodes faster, reducing the energy necessary for manufacturing and eliminating the need for a solvent recycling unit. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/RapidCure_0.jpg?h=def3cf70&itok=BFENW6Cu)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
![Larry Allard](/sites/default/files/styles/list_page_thumbnail/public/2022-08/Allard.png?h=748cb951&itok=GvagcEmh)
Larry Allard, a distinguished research staff member at Oak Ridge National Laboratory, has been named a Fellow of the Microanalysis Society.
![The AI-driven HyperCT platform has three primary points of articulation that can rotate a sample in almost any direction, eliminating the need for human intervention and significantly reducing lengthy experiment times. Credit: Genevieve Martin, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-07/acquisition_0.jpg?h=c6980913&itok=9M0eCGXt)
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
![MDF Exterior](/sites/default/files/styles/list_page_thumbnail/public/2022-06/2021-p07609.jpg?h=be3e4b3a&itok=YfKK7Wy2)
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
![A smart approach to microscopy and imaging developed at Oak Ridge National Laboratory could drive discoveries in materials for future technologies. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/PFC%20Surface%20v3%20300dpi_1.jpg?h=9c3ba2fc&itok=s8arZbEt)
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
![The ORNL researchers’ findings may enable better detection of uranium tetrafluoride hydrate, a little-studied byproduct of the nuclear fuel cycle, and better understanding of how environmental conditions influence the chemical behavior of fuel cycle materials. Credit: Kevin Pastoor/Colorado School of Mines](/sites/default/files/styles/list_page_thumbnail/public/2022-05/UF4%20hydrate.png?h=d318f057&itok=spT-Dg48)
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
![Oak Ridge National Laboratory researchers used an invertible neural network, a type of artificial intelligence that mimics the human brain, to select the most suitable materials for desired properties, such as flexibility or heat resistance, with high chemical accuracy. The study could lead to more customizable materials design for industry.](/sites/default/files/styles/list_page_thumbnail/public/2022-04/CCSD_NeuralNetworkBanner.png?h=b16f811b&itok=fxqDEvs_)
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.