Filter News
Area of Research
News Type
News Topics
- (-) Biomedical (32)
- (-) Cybersecurity (20)
- 3-D Printing/Advanced Manufacturing (52)
- Advanced Reactors (13)
- Artificial Intelligence (53)
- Big Data (25)
- Bioenergy (55)
- Biology (63)
- Biotechnology (10)
- Buildings (22)
- Chemical Sciences (32)
- Clean Water (14)
- Climate Change (54)
- Composites (10)
- Computer Science (96)
- Coronavirus (21)
- Critical Materials (2)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (43)
- Environment (114)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (26)
- Fusion (36)
- Grid (26)
- High-Performance Computing (53)
- Hydropower (5)
- Irradiation (1)
- Isotopes (32)
- ITER (3)
- Machine Learning (23)
- Materials (71)
- Materials Science (62)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (28)
- Molten Salt (2)
- Nanotechnology (28)
- National Security (40)
- Net Zero (9)
- Neutron Science (58)
- Nuclear Energy (65)
- Partnerships (19)
- Physics (32)
- Polymers (13)
- Quantum Computing (20)
- Quantum Science (32)
- Renewable Energy (1)
- Security (13)
- Simulation (33)
- Software (1)
- Space Exploration (13)
- Summit (32)
- Sustainable Energy (51)
- Transformational Challenge Reactor (4)
- Transportation (36)
Media Contacts
![Mike Huettel](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P00819.jpg?h=4a7d1ed4&itok=SHi9F_hH)
Mike Huettel is a cyber technical professional. He also recently completed the 6-month Cyber Warfare Technician course for the United States Army, where he learned technical and tactical proficiency leadership in operations throughout the cyber domain.
![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 researchers encoded grid hardware operating data into a color band hidden inside photographs, video or artwork, as shown in this photo. The visual can then be transmitted to a utility’s control center for decoding. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-05/Color%20bar.ORNL_.jpg?h=a49d782d&itok=eX3P5GZU)
Inspired by one of the mysteries of human perception, an ORNL researcher invented a new way to hide sensitive electric grid information from cyberattack: within a constantly changing color palette.
![Samantha Peters co-designed and conducted experiments using ORNL’s high-performance mass spectrometry techniques to prove that bacteriophages deploy genetic code-switching to overwhelm and destroy host bacteria. Credit: Genevieve Martin, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-03/2023-P00717_0.jpg?h=2b2da530&itok=Ae7uW6ug)
Scientists at ORNL have confirmed that bacteria-killing viruses called bacteriophages deploy a sneaky tactic when targeting their hosts: They use a standard genetic code when invading bacteria, then switch to an alternate code at later stages of
![ORNL’s Tomás Rush explores the secret lives of fungi and plants for insights into the interactions that determine plant health. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-10/Tomas%20Thumbnail.png?h=c6980913&itok=lhmIQFW4)
Tomás Rush began studying the mysteries of fungi in fifth grade and spent his college intern days tromping through forests, swamps and agricultural lands searching for signs of fungal plant pathogens causing disease on host plants.
![From left to right, Cortney Piper, executive director of the Tennessee Advanced Energy Business Council; Susan Hubbard, ORNL deputy for science and technology; Dan Miller, innovation Crossroads program lead; and Mike Paulus, ORNL director of technology transfer, attend the Innovation Crossroads Showcase at the Knoxville Chamber on Sept. 22. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/2022-P09861_0.jpg?h=7a8a8cdf&itok=9Id0uRI9)
A crowd of investors and supporters turned out for last week’s Innovation Crossroads Showcase at the Knoxville Chamber as part of Innov865 Week. Sponsored by ORNL and the Tennessee Advanced Energy Business Council, the event celebrated deep-tech entrepreneurs and the Oak Ridge Corridor as a growing energy innovation hub for the nation.
![Maj. Maria McClelland, ORNL’s chief information security officer, nominated UT-Battelle for the Department of Defense's Freedom Award. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/McClelland.jpg?h=f7d9296c&itok=fPOVvw4k)
The Department of Defense has recognized UT-Battelle with a 2022 Secretary of Defense Employer Support Freedom Award, the highest recognition given by the United States government to employers for their support of staff members who serve as reserve members of the U.S. Armed Forces, known collectively as the Reserve component.
![ORNL identity science researcher Nell Barber works on a facial recognition camera. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-07/Picture1.jpg?h=47322e82&itok=CTajZTiF)
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
![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.