Filter News
Area of Research
- (-) Materials (13)
- (-) National Security (13)
- (-) Quantum information Science (7)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (35)
- Clean Energy (15)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (6)
- Fusion and Fission (14)
- Fusion Energy (11)
- Isotopes (4)
- Materials for Computing (3)
- Mathematics (1)
- Neutron Science (13)
- Nuclear Science and Technology (8)
- Supercomputing (54)
News Type
News Topics
- (-) Big Data (7)
- (-) Biomedical (5)
- (-) Clean Water (3)
- (-) Fusion (4)
- (-) Machine Learning (9)
- (-) Quantum Science (9)
- (-) Summit (3)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (2)
- Artificial Intelligence (10)
- Bioenergy (6)
- Biology (3)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (11)
- Climate Change (4)
- Composites (6)
- Computer Science (23)
- Coronavirus (4)
- Critical Materials (5)
- Cybersecurity (10)
- Decarbonization (4)
- Energy Storage (14)
- Environment (11)
- Exascale Computing (1)
- Grid (8)
- High-Performance Computing (4)
- Isotopes (8)
- Materials (32)
- Materials Science (36)
- Mathematics (1)
- Microscopy (14)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (22)
- Neutron Science (14)
- Nuclear Energy (14)
- Partnerships (3)
- Physics (14)
- Polymers (10)
- Quantum Computing (2)
- Security (6)
- Simulation (1)
- Space Exploration (2)
- Sustainable Energy (8)
- Transformational Challenge Reactor (2)
- Transportation (11)
Media Contacts
![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.
![Cody Lloyd stands in front of images of historical nuclear field testing. The green and red dots are the machine learning algorithm recognizing features in the image. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P05797_0.jpg?h=4a7d1ed4&itok=S8h_wvJX)
Cody Lloyd became a nuclear engineer because of his interest in the Manhattan Project, the United States’ mission to advance nuclear science to end World War II. As a research associate in nuclear forensics at ORNL, Lloyd now teaches computers to interpret data from imagery of nuclear weapons tests from the 1950s and early 1960s, bringing his childhood fascination into his career
![Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/2023-P06111_0.jpg?h=c6980913&itok=dgI-yVRh)
After completing a bachelor’s degree in biology, Toya Beiswenger didn’t intend to go into forensics. But almost two decades later, the nuclear security scientist at ORNL has found a way to appreciate the art of nuclear forensics.
![Two researchers standing back to back in a grassy area](/sites/default/files/styles/list_page_thumbnail/public/2023-07/CSJ_1716_updated.jpg?h=2dfa0735&itok=U-3yNm3M)
When geoinformatics engineering researchers at the Department of Energy’s Oak Ridge National Laboratory wanted to better understand changes in land areas and points of interest around the world, they turned to the locals — their data, at least.
![HFIR](/sites/default/files/styles/list_page_thumbnail/public/2020-04/HFIR_0.jpg?h=56d0ca2e&itok=8tMcVdaT)
Creating energy the way the sun and stars do — through nuclear fusion — is one of the grand challenges facing science and technology. What’s easy for the sun and its billions of relatives turns out to be particularly difficult on Earth.
![The Fuel Pellet Fueling Laboratory at ORNL is part of a suite of fusion energy R&D capabilities and provides test equipment and related diagnostics for carrying out experiments to develop pellet injectors for plasma fueling applications. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2021-P02876_0.jpg?h=c6980913&itok=8fqWlX5k)
ORNL will team up with six of eight companies that are advancing designs and research and development for fusion power plants with the mission to achieve a pilot-scale demonstration of fusion within a decade.
![When an electron beam drills holes in heated graphene, single-atom vacancies, shown in purple, diffuse until they join with other vacancies to form stationary structures and chains, shown in blue. Credit: Ondrej Dyck/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/variation.jpg?h=bedff801&itok=9S6jmOVH)
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
![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.
![Researchers at Oak Ridge National Laboratory probed the chemistry of radium to gain key insights on advancing cancer treatments using radiation therapy. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/radium_0.jpg?h=dbdf53bf&itok=dMlhyVKO)
Researchers at ORNL explored radium’s chemistry to advance cancer treatments using ionizing radiation.
![Researchers at Oak Ridge National Laboratory designed an adsorbent material to rapidly remove toxic chromium and arsenic simultaneously from water resources. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-07/water%20image%20v2_0.jpg?h=021d9f92&itok=DIF0bOhP)
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.