![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
News Topics
- (-) Biomedical (13)
- (-) Cybersecurity (7)
- (-) Nuclear Energy (13)
- (-) Partnerships (5)
- (-) Space Exploration (4)
- (-) Summit (22)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (3)
- Artificial Intelligence (23)
- Big Data (13)
- Bioenergy (15)
- Biology (9)
- Biotechnology (2)
- Buildings (12)
- Chemical Sciences (8)
- Clean Water (6)
- Climate Change (19)
- Composites (3)
- Computer Science (50)
- Coronavirus (12)
- Decarbonization (18)
- Energy Storage (23)
- Environment (35)
- Exascale Computing (12)
- Fossil Energy (2)
- Frontier (13)
- Fusion (2)
- Grid (13)
- High-Performance Computing (20)
- Isotopes (6)
- Machine Learning (9)
- Materials (28)
- Materials Science (26)
- Mathematics (2)
- Mercury (1)
- Microelectronics (1)
- Microscopy (9)
- Nanotechnology (11)
- National Security (4)
- Net Zero (2)
- Neutron Science (39)
- Physics (13)
- Polymers (5)
- Quantum Computing (11)
- Quantum Science (11)
- Security (4)
- Simulation (10)
- Software (1)
- Sustainable Energy (16)
- Transformational Challenge Reactor (2)
- Transportation (22)
Media Contacts
![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.
![An ORNL-led team studied the SARS-CoV-2 spike protein in the trimer state, shown here, to pinpoint structural transitions that could be disrupted to destabilize the protein and negate its harmful effects. Credit: Debsindhu Bhowmik/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/sars_cov_2_bk.png?h=05c2797f&itok=jQ2D9aTr)
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
![This protein drives key processes for sulfide use in many microorganisms that produce methane, including Thermosipho melanesiensis. Researchers used supercomputing and deep learning tools to predict its structure, which has eluded experimental methods such as crystallography. Credit: Ada Sedova/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/thermosipho_collabfold2_0.jpg?h=3432ff3c&itok=4xhLbjKZ)
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
![As part of the Next-Generation Ecosystem Experiments Arctic project, scientists are gathering and incorporating new data about the Alaskan tundra into global models that predict the future of our planet. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-08/NGEE_eddy%20covariance%20Busey.jpg?h=2d5be524&itok=VFtVDdzq)
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
![ORNL used novel additive manufacturing techniques to 3D print channel fasteners for Framatome’s boiling water reactor fuel assembly. Four components, like the one shown here, were installed at the TVA Browns Ferry nuclear plant. Credit: Framatome](/sites/default/files/styles/list_page_thumbnail/public/2021-08/3D-printed%20channel%20fastener_0.jpg?h=17d1be53&itok=xLToVHZi)
Four first-of-a-kind 3D-printed fuel assembly brackets, produced at the Department of Energy’s Manufacturing Demonstration Facility at Oak Ridge National Laboratory, have been installed and are now under routine operating
![An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-06/frame1.png?h=d1cb525d&itok=51pwBWyP)
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
![The Perseverance rover](/sites/default/files/styles/list_page_thumbnail/public/2020-07/pia23492_0.jpg?h=d1cb525d&itok=A5U6cgBE)
On Feb. 18, the world will be watching as NASA’s Perseverance rover makes its final descent into Jezero Crater on the surface of Mars. Mars 2020 is the first NASA mission that uses plutonium-238 produced at the Department of Energy’s Oak Ridge National Laboratory.
![The researchers embedded a programmable model into a D-Wave quantum computer chip. Credit: D-Wave](/sites/default/files/styles/list_page_thumbnail/public/2021-02/P5-o5czF_0.jpg?h=b69e0e0e&itok=wCU6WIp_)
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.
![ORNL researchers in advanced manufacturing, materials science and engineering collaborated to produce face shields and reusable mask molds so that industry can quickly mass produce. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-05/MDF_group_shot.jpg?h=5e9da067&itok=hx6y5O6o)
The University of Texas at San Antonio (UTSA) has formally launched the Cybersecurity Manufacturing Innovation Institute (CyManII), a $111 million public-private partnership.