Filter News
Area of Research
- (-) Advanced Manufacturing (8)
- (-) Computational Engineering (1)
- (-) National Security (14)
- Biology and Environment (32)
- Clean Energy (91)
- Computer Science (6)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (2)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (4)
- Materials (129)
- Materials Characterization (2)
- Materials for Computing (13)
- Materials Under Extremes (1)
- Neutron Science (27)
- Nuclear Science and Technology (6)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (50)
News Topics
- (-) Big Data (7)
- (-) Composites (3)
- (-) Grid (6)
- (-) Materials (8)
- (-) Physics (1)
- 3-D Printing/Advanced Manufacturing (24)
- Advanced Reactors (2)
- Artificial Intelligence (14)
- Bioenergy (6)
- Biology (5)
- Biomedical (4)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (6)
- Computer Science (23)
- Coronavirus (2)
- Cybersecurity (20)
- Decarbonization (2)
- Energy Storage (2)
- Environment (6)
- Exascale Computing (1)
- Frontier (1)
- Fusion (2)
- High-Performance Computing (5)
- Machine Learning (14)
- Materials Science (8)
- Mathematics (1)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (6)
- Nuclear Energy (7)
- Partnerships (4)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Space Exploration (1)
- Summit (3)
- Sustainable Energy (8)
- Transformational Challenge Reactor (1)
- Transportation (2)
Media Contacts
![3D printed “Frankenstein design” collimator show the “scars” where the individual parts are joined](/sites/default/files/styles/list_page_thumbnail/public/2024-04/2024-P03207%20collimator%20with%20scars%20highlighted.jpg?h=036a71b7&itok=4aO2i21j)
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
![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.
![Tristen Mullins. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/mullins_0.jpg?h=dab30fcb&itok=dsFGJyMz)
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
![ORNL’s Tyler Spano examines a sample of uranyl nitrate solution that she uses as a precursor to many uranium oxide syntheses. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-11/2019-P17103_cropped.jpg?h=164e9d09&itok=oEZFpgaQ)
The word “exotic” may not spark thoughts of uranium, but Tyler Spano’s investigations of exotic phases of uranium are bringing new knowledge to the nuclear nonproliferation industry.
![A team led by Raymond Borges Hink has developed a method using blockchain to protect communications between electronic devices in the electric grid, preventing cyberattacks and cascading blackouts. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-11/Blockchain%20Raymond%20portrait.jpg?h=c6980913&itok=g5Hnz0h2)
Although blockchain is best known for securing digital currency payments, researchers at the Department of Energy’s Oak Ridge National Laboratory are using it to track a different kind of exchange: It’s the first time blockchain has ever been used to validate communication among devices on the electric grid.
![A group of people standing outside in front of trees and buildings](/sites/default/files/styles/list_page_thumbnail/public/2022-11/2022-P10952.jpg?h=8f9cfe54&itok=Wd2coEC5)
Nine student physicists and engineers from the #1-ranked Nuclear Engineering and Radiological Sciences Program at the University of Michigan, or UM, attended a scintillation detector workshop at Oak Ridge National Laboratory Oct. 10-13.
![Thomaz Carvalhaes. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/2022-P06032_0.jpg?h=252f27fa&itok=A2HrJ-y6)
In human security research, Thomaz Carvalhaes says, there are typically two perspectives: technocentric and human centric. Rather than pick just one for his work, Carvalhaes uses data from both perspectives to understand how technology impacts the lives of people.
![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.
![LandScan Global depicts population distribution estimates across the planet. The darker orange and red colors above indicate higher population density. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/Picture1_0.jpg?h=9d172ced&itok=uYwYp-pW)
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
![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.