Filter News
Area of Research
- (-) Electricity and Smart Grid (3)
- (-) National Security (11)
- (-) Nuclear Science and Technology (11)
- (-) Quantum information Science (1)
- Advanced Manufacturing (22)
- Biological Systems (1)
- Biology and Environment (32)
- Building Technologies (1)
- Clean Energy (165)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotopes (26)
- Materials (95)
- Materials for Computing (8)
- Neutron Science (31)
- Sensors and Controls (1)
- Supercomputing (36)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (6)
- (-) Biomedical (4)
- (-) Energy Storage (3)
- (-) Grid (10)
- (-) Isotopes (5)
- (-) Physics (4)
- Advanced Reactors (12)
- Artificial Intelligence (13)
- Big Data (6)
- Bioenergy (5)
- Biology (5)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (27)
- Coronavirus (3)
- Cybersecurity (21)
- Decarbonization (4)
- Environment (7)
- Exascale Computing (1)
- Frontier (2)
- Fusion (9)
- High-Performance Computing (5)
- Machine Learning (13)
- Materials (3)
- Materials Science (7)
- Microelectronics (1)
- Microscopy (2)
- Molten Salt (4)
- Nanotechnology (2)
- National Security (34)
- Neutron Science (9)
- Nuclear Energy (40)
- Partnerships (4)
- Quantum Science (10)
- Security (11)
- Simulation (2)
- Space Exploration (5)
- Summit (2)
- Sustainable Energy (6)
- Transformational Challenge Reactor (3)
- Transportation (2)
Media Contacts
![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.
![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.
![Portrait of Craig Blue](/sites/default/files/styles/list_page_thumbnail/public/2023-04/2019-P06772_craig%20blue%20landscape_0.jpg?h=8f9cfe54&itok=Et3RssPF)
Craig Blue, Defense Manufacturing Program Director at the Department of Energy’s Oak Ridge National Laboratory, was recently elected to a two-year term on the Institute for Advanced Composites Manufacturing Innovation Consortium Council, a body of professionals from academia, state governments, and national laboratories that provides strategic direction and oversight to IACMI.
![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.
![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.
![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.
![Logan Sturm, Alvin M. Weinberg Fellow at ORNL, creates a mashup between additive manufacturing and cybersecurity research. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/sturm-lab.jpg?h=1de2f7a8&itok=nYiuVTGx)
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
![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.