Filter News
Area of Research
- (-) Materials (33)
- (-) National Security (4)
- (-) Supercomputing (34)
- Advanced Manufacturing (2)
- Biology and Environment (10)
- Clean Energy (31)
- Computational Engineering (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials for Computing (5)
- Neutron Science (15)
- Nuclear Science and Technology (6)
News Topics
- (-) Advanced Reactors (2)
- (-) Frontier (12)
- (-) Microscopy (13)
- (-) Physics (17)
- (-) Space Exploration (1)
- (-) Summit (14)
- (-) Sustainable Energy (10)
- 3-D Printing/Advanced Manufacturing (16)
- Artificial Intelligence (19)
- Big Data (1)
- Bioenergy (13)
- Biology (8)
- Biomedical (7)
- Biotechnology (1)
- Buildings (3)
- Chemical Sciences (20)
- Climate Change (7)
- Composites (3)
- Computer Science (36)
- Coronavirus (7)
- Critical Materials (8)
- Cybersecurity (13)
- Decarbonization (5)
- Energy Storage (20)
- Environment (11)
- Exascale Computing (7)
- Fusion (3)
- Grid (6)
- High-Performance Computing (13)
- Isotopes (5)
- ITER (1)
- Machine Learning (8)
- Materials (41)
- Materials Science (37)
- Molten Salt (2)
- Nanotechnology (23)
- National Security (11)
- Net Zero (1)
- Neutron Science (23)
- Nuclear Energy (5)
- Partnerships (11)
- Polymers (6)
- Quantum Computing (5)
- Quantum Science (17)
- Renewable Energy (1)
- Security (7)
- Simulation (1)
- Transformational Challenge Reactor (1)
- Transportation (6)
Media Contacts
![A beam of excited sodium-32 nuclei implants in the FRIB Decay Station initiator is used to detect decay signatures of isotopes. Credit: Gary Hollenhead, Toby King and Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-08/render_03_0.jpg?h=8f74817f&itok=AZQPthBf)
Timothy Gray of ORNL led a study that may have revealed an unexpected change in the shape of an atomic nucleus. The surprise finding could affect our understanding of what holds nuclei together, how protons and neutrons interact and how elements form.
![TIP graphic](/sites/default/files/styles/list_page_thumbnail/public/2023-06/TIPbg_1200.png?h=da33fe38&itok=y7ggwHLV)
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
![Frontier supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2023-06/Frontier-logos_0.jpg?h=c6980913&itok=yuF5A0wj)
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
![ORNL seismic researcher Chengping Chai placed seismic sensors on the ground at various distances from an ORNL nuclear reactor to learn whether they could detect its operating state. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-06/2023-P03398.jpg?h=3e43625b&itok=TXK8tthh)
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
![Matt Sieger. Credit: Carlos Jones/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2023-05/2022-P00437_0.jpg?h=c6980913&itok=bGz_GUB0)
The Oak Ridge Leadership Computing Facility’s Matt Sieger has been named the project director for the OLCF-6 effort. This next OLCF undertaking will plan and build a world-class successor to the OLCF’s still-new exascale system, Frontier.
![ORNL researchers Michael Smith, Steven Pain and Kelly Chipps use JENSA, a unique gas jet system, for laboratory studies of nuclear reactions that also occur in neutron stars in binary systems. Credit: Steven Pain/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-05/20160213_182909aa.jpg?h=5c7e1372&itok=p13IVvRC)
Led by Kelly Chipps of ORNL, scientists working in the lab have produced a signature nuclear reaction that occurs on the surface of a neutron star gobbling mass from a companion star. Their achievement improves understanding of stellar processes generating diverse nuclear isotopes.
![The Frontier supercomputer at ORNL remains in the number one spot on the May 2023 TOP500 rankings, with an updated high-performance Linpack score of 1.194 exaflops. Engineers at the Oak Ridge Leadership Computing Facility, which houses Frontier and its predecessor Summit, expect that Frontier’s speeds could ultimately top 1.4 exaflops, or 1.4 quintillion calculations per second. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-05/2022-P07496_0.jpg?h=c6980913&itok=lkvzQLQ6)
With the world’s first exascale supercomputing system now open to full user operations, research teams are harnessing Frontier’s power and speed to tackle some of the most challenging problems in modern science.
![Kelly Chipps of Oak Ridge National Laboratory has been appointed to the Nuclear Sciences Advisory Committee, which advises the Department of Energy and National Science Foundation. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-05/2023-P04798_1.jpg?h=8f9cfe54&itok=YXG6JZyW)
Kelly Chipps, a nuclear astrophysicist at ORNL, has been appointed to the Nuclear Science Advisory Committee, or NSAC. The committee provides official advice to DOE and the National Science Foundation, or NSF, about issues relating to the national program for basic nuclear science research.
![Andrew Lupini](/sites/default/files/styles/list_page_thumbnail/public/2023-04/lupini.png?h=181bc054&itok=c-ov-WoV)
Andrew Lupini, a scientist and inventor at ORNL, has been elected Fellow of the Microscopy Society of America.
![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.