Filter News
Area of Research
- (-) National Security (21)
- (-) Supercomputing (86)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (124)
- Biology and Soft Matter (1)
- Clean Energy (97)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotopes (6)
- Materials (56)
- Materials for Computing (8)
- Mathematics (1)
- Neutron Science (28)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Transportation Systems (1)
News Topics
- (-) Biomedical (17)
- (-) Decarbonization (6)
- (-) Environment (25)
- (-) Machine Learning (23)
- (-) Microscopy (7)
- (-) Summit (42)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (45)
- Big Data (22)
- Bioenergy (11)
- Biology (14)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Energy Storage (9)
- Exascale Computing (22)
- Frontier (28)
- Fusion (2)
- Grid (11)
- High-Performance Computing (40)
- Isotopes (1)
- Materials (16)
- Materials Science (17)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (35)
- Net Zero (1)
- Neutron Science (15)
- Nuclear Energy (8)
- Partnerships (4)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
![A study led by ORNL researchers examines the causes behind ordering of cations, the positive ions that help make double perovskite oxides look promising as an energy source. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2023-05/CationBanner.png?h=ae114f5c&itok=czF5YUhD)
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
![An AI-generated image representing atoms and artificial neural networks. Credit: Maxim Ziatdinov, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-04/atoms3.jpg?h=ab622562&itok=dNMzrFw8)
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
![Artificial intelligence is becoming an increasingly valuable tool for ORNL researchers tackling the many mysteries of cancer. Credit: Getty Images.](/sites/default/files/styles/list_page_thumbnail/public/2023-04/GettyImages-1444892930_0.jpg?h=e91a75a9&itok=mIS2il3Q)
A team of researchers from ORNL was recognized by the National Cancer Institute in March for their unique contributions in the fight against cancer.
The Autonomous Systems group at ORNL is in high demand as it incorporates remote sensing into projects needing a bird’s-eye perspective.
![Students from UC Merced collect water samples at Guadalupe Reservoir in Santa Clara County, California. Credit: UC Merced](/sites/default/files/styles/list_page_thumbnail/public/2023-03/UCMercedPhoto1_FieldSampling.jpg?h=9f905945&itok=n8jRlaGi)
Environmental scientists at ORNL have recently expanded collaborations with minority-serving institutions and historically Black colleges and universities across the nation to broaden the experiences and skills of student scientists while bringing fresh insights to the national lab’s missions.
![A new license to U2opia pairs two technologies developed in ORNL’s Cyber Resilience and Intelligence Division: Situ and Heartbeat. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-02/cyber-illo_0_1.png?h=9e499333&itok=Ep_VYWNj)
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
![Philipe Ambrozio Dias. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-11/2022-P09862.jpg?h=4a7d1ed4&itok=CblZ5Rj4)
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
![This image from Sept. 30, 2022, shows how the Federal Emergency Management Agency used ORNL's USA Structures data along with new satellite images to identify structures that were destroyed in Lee County, Florida, during Hurricane Ian. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-11/ian_damage_example_03_0.png?h=aa63490b&itok=l063HHcH)
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
![ORNL will use its land surface modeling tools to determine Baltimore’s climate risk and analyze green infrastructure improvements that can help mitigate impacts on underserved communities as part of a DOE Urban Integrated Field Laboratory project. Source: Google Earth, accessed Sept. 12, 2022](/sites/default/files/styles/list_page_thumbnail/public/2022-09/baltimore_google_earth_0.png?h=252f27fa&itok=ZR6CzNnw)
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
![Shown here is the structure of the NEMO protein. A team from ORNL conducted extensive molecular dynamics work on Summit by using both quantum mechanics and machine-learning methods to look at the binding affinity of NEMO and 3CLpro in humans and other species and to consider the structural models derived from the sequences of other coronaviruses. Image courtesy Nature Communications, Dan Jacobson/ORNL.](/sites/default/files/styles/list_page_thumbnail/public/2022-09/bradykinin_1.png?h=53873e96&itok=iBwJwFaV)
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge National Laboratory.