![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
- Biology and Environment (38)
- Clean Energy (35)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (16)
- Materials (21)
- Materials for Computing (2)
- National Security (17)
- Neutron Science (8)
- Nuclear Science and Technology (16)
- Quantum information Science (4)
- Supercomputing (40)
News Type
News Topics
- (-) Biotechnology (11)
- (-) Clean Water (14)
- (-) Grid (23)
- (-) High-Performance Computing (43)
- (-) Isotopes (27)
- (-) Machine Learning (22)
- (-) Nuclear Energy (54)
- (-) Quantum Science (30)
- (-) Space Exploration (12)
- (-) Sustainable Energy (43)
- 3-D Printing/Advanced Manufacturing (37)
- Advanced Reactors (8)
- Artificial Intelligence (46)
- Big Data (22)
- Bioenergy (50)
- Biology (58)
- Biomedical (28)
- Buildings (18)
- Chemical Sciences (22)
- Climate Change (48)
- Composites (6)
- Computer Science (82)
- Coronavirus (17)
- Critical Materials (2)
- Cybersecurity (14)
- Decarbonization (45)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (101)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (24)
- Fusion (30)
- Hydropower (5)
- ITER (2)
- Materials (41)
- Materials Science (44)
- Mathematics (6)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (35)
- Net Zero (8)
- Neutron Science (47)
- Partnerships (16)
- Physics (28)
- Polymers (8)
- Quantum Computing (20)
- Renewable Energy (1)
- Security (11)
- Simulation (30)
- Software (1)
- Summit (30)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
![Plutonium oxide is loaded onto a truck for shipping. Adam Parkison/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/PXL_20230620_120836896_0.jpg?h=2848f5af&itok=Nh31DLuy)
In June, ORNL hit a milestone not seen in more than three decades: producing a production-quality amount of plutonium-238
![Steven Hamilton, an R&D scientist in the HPC Methods for Nuclear Applications group at ORNL, leads the ExaSMR project. ExaSMR was developed to run on the Oak Ridge Leadership Computing Facility’s exascale-class supercomputer, Frontier. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/2023-P00165_1.jpg?h=c6980913&itok=YE6_qVLk)
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
![ORNL researchers are demonstrating an automation system for this portable system, currently based in Colorado, for treatment of non-traditional water sources to drinking water standards. Credit: Tzahi Cath/Colorado School of Mines](/sites/default/files/styles/list_page_thumbnail/public/2023-09/NAWI_comp01_0.jpg?h=d1cb525d&itok=I2fCHpSN)
Researchers at ORNL are developing advanced automation techniques for desalination and water treatment plants, enabling them to save energy while providing affordable drinking water to small, parched communities without high-quality water supplies.
![Cadet Elyse Wages, Mike Shaffer and Amanda Sandifer pose with a collected sample of air. Credit: Liz Neunsinger/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/20230627_140821.png?h=b6fd9b7a&itok=ESPeHBk1)
Cadet Elyse Wages, a rising junior at the United States Air Force Academy, visited ORNL with one goal in mind: collect air.
![The DEMAND single crystal diffractometer at the High Flux Isotope Reactor, or HFIR, is the latest neutron instrument at the Department of Energy’s Oak Ridge National Laboratory to be equipped with machine learning-assisted software, called ReTIA. Credit: Jeremy Rumsey/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-09/DEMAND%20thumbnail%20image_0.jpg?h=c673cd1c&itok=5YAVwaP6)
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
![oxygen isotope 28](/sites/default/files/styles/list_page_thumbnail/public/2023-08/oxygen-28-square_0.png?h=cd2a7045&itok=kqKmINwS)
Rare isotope oxygen-28 has been determined to be "barely unbound" by experiments led by researchers at the Tokyo Institute of Technology and by computer simulations conducted at ORNL. The findings from this first-ever observation of 28O answer a longstanding question in nuclear physics: can you get bound isotopes in a very neutron-rich region of the nuclear chart, where instability and radioactivity are the norm?
![Rose Montgomery](/sites/default/files/styles/list_page_thumbnail/public/2023-08/Rose%20Montgomery%202022.jpg?h=a3aaed75&itok=W7lx1mwq)
Rose Montgomery, a distinguished researcher and leader of the Used Fuel and Nuclear Material Disposition group at ORNL, has been selected to participate in the U.S. WIN Nuclear Executives of Tomorrow, or NEXT, class of 2023 to 2024.
![Diagram of faults affecting a conventional power system.](/sites/default/files/styles/list_page_thumbnail/public/2023-08/23-G04595-line-faults-pcg_0.jpg?h=d48ba2e6&itok=Gc2T0Rmr)
Researchers at the Department of Energy’s Oak Ridge National Laboratory are leading the way in understanding the effects of electrical faults in the modern U.S. power grid.
![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
![Ken Engle portrait](/sites/default/files/styles/list_page_thumbnail/public/2023-08/engle%20profile.jpg?h=72898f5b&itok=ZIKd9Gn1)
It was reading about current nuclear discoveries in textbooks that first made Ken Engle want to work at a national lab. It was seeing the real-world impact of the isotopes produced at ORNL