Filter News
Area of Research
- (-) Materials (11)
- (-) National Security (4)
- Biology and Environment (14)
- Clean Energy (12)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Isotopes (2)
- Materials for Computing (3)
- Neutron Science (6)
- Supercomputing (13)
News Topics
- (-) Biomedical (2)
- (-) Materials Science (8)
- (-) Neutron Science (3)
- (-) Nuclear Energy (1)
- (-) Partnerships (1)
- (-) Summit (1)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Artificial Intelligence (5)
- Big Data (2)
- Bioenergy (5)
- Biology (4)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (5)
- Clean Water (1)
- Climate Change (4)
- Composites (2)
- Computer Science (6)
- Coronavirus (2)
- Critical Materials (3)
- Cybersecurity (3)
- Decarbonization (3)
- Energy Storage (8)
- Environment (4)
- Frontier (1)
- Fusion (1)
- Grid (3)
- High-Performance Computing (4)
- Isotopes (2)
- Machine Learning (4)
- Materials (17)
- Microscopy (3)
- Nanotechnology (5)
- National Security (9)
- Physics (3)
- Polymers (1)
- Quantum Science (1)
- Security (2)
- Simulation (2)
- Transformational Challenge Reactor (1)
- Transportation (1)
Media Contacts
![Seven scientists at the Department of Energy’s Oak Ridge National Laboratory have been named Battelle Distinguished Inventors, in recognition of their obtaining 14 or more patents during their careers at the lab. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/InventorWinners_0.png?h=b6717701&itok=MO7KGBMz)
Seven scientists at the Department of Energy’s Oak Ridge National Laboratory have been named Battelle Distinguished Inventors, in recognition of their obtaining 14 or more patents during their careers at the lab.
![Ilias Belharouak, Grace Burke and Phil Snyder represent ORNL’s strengths in battery technology, materials science and fusion energy research.](/sites/default/files/styles/list_page_thumbnail/public/2022-12/22-G04341_Corporate-Fellows-photos.jpg?h=e91a75a9&itok=skT1h7xu)
Three researchers at ORNL have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
![Oak Ridge National Laboratory materials scientist Zhili Feng, left, looks on as senior technician Doug Kyle operates a welding robot inside a robotic welding cell. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/2022-P02510.png?h=73ad5f11&itok=fvydYheR)
The U.S. Departments of Energy and Defense teamed up to create a series of weld filler materials that could dramatically improve high-strength steel repair in vehicles, bridges and pipelines.
![When an electron beam drills holes in heated graphene, single-atom vacancies, shown in purple, diffuse until they join with other vacancies to form stationary structures and chains, shown in blue. Credit: Ondrej Dyck/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/variation.jpg?h=bedff801&itok=9S6jmOVH)
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
![Researchers at Oak Ridge National Laboratory probed the chemistry of radium to gain key insights on advancing cancer treatments using radiation therapy. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/radium_0.jpg?h=dbdf53bf&itok=dMlhyVKO)
Researchers at ORNL explored radium’s chemistry to advance cancer treatments using ionizing radiation.
![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.
![Bobby Sumpter. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-08/sumptersummit_0.jpg?h=8f9cfe54&itok=UScKP4yF)
ORNL Corporate Fellow and Center for Nanophase Materials Sciences researcher Bobby Sumpter has been named fellow of two scientific professional societies: the Institute of Physics and the International Association of Advanced Materials.
![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.
![ORNL, VA and Harvard researchers developed a sparse matrix full of anonymized information on what is thought to be the largest cohort of healthcare data used for this type of research in the U.S. The matrix can be probed with different methods, such as KESER, to gain new insights into human health. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-04/2022-G00330_KESER%20Illustration_0.jpg?h=1cb48fc4&itok=c6ZuDdDg)
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
![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.