Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (57)
- Clean Energy (77)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (11)
- Fusion Energy (2)
- Isotopes (5)
- Materials (45)
- Materials for Computing (10)
- National Security (21)
- Neutron Science (19)
- Nuclear Science and Technology (8)
- Quantum information Science (5)
- Sensors and Controls (1)
- Supercomputing (95)
News Type
News Topics
- (-) Advanced Reactors (18)
- (-) Big Data (29)
- (-) Biomedical (45)
- (-) Frontier (37)
- (-) Grid (38)
- (-) High-Performance Computing (68)
- (-) Polymers (20)
- (-) Quantum Science (54)
- (-) Security (21)
- (-) Sustainable Energy (74)
- 3-D Printing/Advanced Manufacturing (79)
- Artificial Intelligence (74)
- Bioenergy (73)
- Biology (79)
- Biotechnology (17)
- Buildings (30)
- Chemical Sciences (50)
- Clean Water (15)
- Climate Change (69)
- Composites (15)
- Computer Science (137)
- Coronavirus (34)
- Critical Materials (12)
- Cybersecurity (31)
- Decarbonization (61)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (69)
- Environment (136)
- Exascale Computing (33)
- Fossil Energy (5)
- Fusion (41)
- Hydropower (5)
- Isotopes (42)
- ITER (4)
- Machine Learning (34)
- Materials (99)
- Materials Science (92)
- Mathematics (5)
- Mercury (9)
- Microelectronics (2)
- Microscopy (36)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (51)
- Net Zero (11)
- Neutron Science (95)
- Nuclear Energy (77)
- Partnerships (41)
- Physics (50)
- Quantum Computing (27)
- Renewable Energy (2)
- Simulation (37)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (50)
- Transformational Challenge Reactor (7)
- Transportation (51)
Media Contacts
![The sensors measure parameters like temperature, chemicals and electric grid elements for industrial and electrical applications. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy The sensors measure parameters like temperature, chemicals and electric grid elements for industrial and electrical applications. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/drone%20inspecting%20EPB%20pole%20mounted%20transformers.jpg?itok=CiRIK4cC)
Brixon, Inc., has exclusively licensed a multiparameter sensor technology from the Department of Energy’s Oak Ridge National Laboratory. The integrated platform uses various sensors that measure physical and environmental parameters and respond to standard security applications.
![Radiochemical technicians David Denton and Karen Murphy use hot cell manipulators at Oak Ridge National Laboratory during the production of actinium-227. Radiochemical technicians David Denton and Karen Murphy use hot cell manipulators at Oak Ridge National Laboratory during the production of actinium-227.](/sites/default/files/styles/list_page_thumbnail/public/2016-P07827%5B1%5D.jpg?itok=yJbnFQLU)
The Department of Energy’s Oak Ridge National Laboratory is now producing actinium-227 (Ac-227) to meet projected demand for a highly effective cancer drug through a 10-year contract between the U.S. DOE Isotope Program and Bayer.
![Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy. Graphical representation of a deuteron, the bound state of a proton (red) and a neutron (blue). Credit: Andy Sproles/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/news/images/deuteron%5B4%5D.jpg?itok=hEV9C82i)
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
![From left, ORNL’s Rick Lowden, Chris Bryan and Jim Kiggans were troubled that target discs of a material needed to produce Mo-99 using an accelerator could deform after irradiation and get stuck in their holder. From left, ORNL’s Rick Lowden, Chris Bryan and Jim Kiggans were troubled that target discs of a material needed to produce Mo-99 using an accelerator could deform after irradiation and get stuck in their holder.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P01734.jpg?itok=IbSUl9Vc)
“Made in the USA.” That can now be said of the radioactive isotope molybdenum-99 (Mo-99), last made in the United States in the late 1980s. Its short-lived decay product, technetium-99m (Tc-99m), is the most widely used radioisotope in medical diagnostic imaging. Tc-99m is best known ...
![Default image of ORNL entry sign](/sites/default/files/styles/list_page_thumbnail/public/2023-09/default-thumbnail.jpg?h=553c93cc&itok=N_Kd1DVR)
James Peery, who led critical national security programs at Sandia National Laboratories and held multiple leadership positions at Los Alamos National Laboratory before arriving at the Department of Energy’s Oak Ridge National Laboratory last year, has been named a...
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy. Scientists will use ORNL’s computing resources such as the Titan supercomputer to develop deep learning solutions for data analysis. Credit: Jason Richards/Oak Ridge National Laboratory, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2012-P03136%281%29.jpg?itok=i0w1NZWs)
A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...