![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (61)
- Biology and Soft Matter (1)
- Clean Energy (46)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Energy Frontier Research Centers (1)
- Fusion and Fission (5)
- Isotopes (22)
- Materials (70)
- Materials for Computing (12)
- National Security (33)
- Neutron Science (82)
- Nuclear Science and Technology (7)
- Quantum information Science (3)
- Supercomputing (103)
News Type
News Topics
- (-) Artificial Intelligence (75)
- (-) Clean Water (15)
- (-) Climate Change (70)
- (-) Computer Science (139)
- (-) Isotopes (45)
- (-) Machine Learning (35)
- (-) Nanotechnology (42)
- (-) Neutron Science (96)
- 3-D Printing/Advanced Manufacturing (81)
- Advanced Reactors (18)
- Big Data (30)
- Bioenergy (74)
- Biology (80)
- Biomedical (45)
- Biotechnology (18)
- Buildings (31)
- Chemical Sciences (51)
- Composites (15)
- Coronavirus (34)
- Critical Materials (13)
- Cybersecurity (31)
- Decarbonization (64)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (69)
- Environment (137)
- Exascale Computing (34)
- Fossil Energy (5)
- Frontier (38)
- Fusion (43)
- Grid (38)
- High-Performance Computing (69)
- Hydropower (5)
- ITER (4)
- Materials (100)
- Materials Science (94)
- Mathematics (6)
- Mercury (9)
- Microelectronics (3)
- Microscopy (36)
- Molten Salt (3)
- National Security (53)
- Net Zero (11)
- Nuclear Energy (80)
- Partnerships (43)
- Physics (52)
- Polymers (20)
- Quantum Computing (29)
- Quantum Science (56)
- Renewable Energy (2)
- Security (22)
- Simulation (38)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (50)
- Sustainable Energy (74)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
![From left, Andrew Lupini and Juan Carlos Idrobo use ORNL’s new monochromated, aberration-corrected scanning transmission electron microscope, a Nion HERMES to take the temperatures of materials at the nanoscale. Image credit: Oak Ridge National Laboratory From left, Andrew Lupini and Juan Carlos Idrobo use ORNL’s new monochromated, aberration-corrected scanning transmission electron microscope, a Nion HERMES to take the temperatures of materials at the nanoscale. Image credit: Oak Ridge National Laboratory](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P00413.jpg?itok=UKejk7r2)
A scientific team led by the Department of Energy’s Oak Ridge National Laboratory has found a new way to take the local temperature of a material from an area about a billionth of a meter wide, or approximately 100,000 times thinner than a human hair. This discove...
![Germina Ilas (left) and Ian Gauld review spent fuel data entries in the SFCOMPO 2.0 database. Germina Ilas (left) and Ian Gauld review spent fuel data entries in the SFCOMPO 2.0 database.](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P00005_r3_0.jpg?itok=FrGhhOuK)
![A conceptual illustration of proton-proton fusion in which two protons fuse to form a deuteron. Image courtesy of William Detmold. A conceptual illustration of proton-proton fusion in which two protons fuse to form a deuteron. Image courtesy of William Detmold.](/sites/default/files/styles/list_page_thumbnail/public/news/images/ppfusion%5B2%5D%20R1.png?itok=i8NTzm-5)
Nuclear physicists are using the nation’s most powerful supercomputer, Titan, at the Oak Ridge Leadership Computing Facility to study particle interactions important to energy production in the Sun and stars and to propel the search for new physics discoveries Direct calculatio...
![ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system. ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.](/sites/default/files/styles/list_page_thumbnail/public/news/images/RAvENNA%20release%20pic.png?itok=2bDpK5Mo)
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the
![The interior of the Massachusetts Institute of Technology’s (MIT’s) Alcator C-Mod tokamak. A team led by Princeton Plasma Physics Laboratory’s C.S. Chang recently used the Titan supercomputer The interior of the Massachusetts Institute of Technology’s (MIT’s) Alcator C-Mod tokamak. A team led by Princeton Plasma Physics Laboratory’s C.S. Chang recently used the Titan supercomputer](/sites/default/files/styles/list_page_thumbnail/public/Chang1%20copy_0.jpg?itok=4mDUjXsj)
The same fusion reactions that power the sun also occur inside a tokamak, a device that uses magnetic fields to confine and control plasmas of 100-plus million degrees. Under extreme temperatures and pressure, hydrogen atoms can fuse together, creating new helium atoms and simulta...
![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...
![COHERENT collaborators were the first to observe coherent elastic neutrino–nucleus scattering. Their results, published in the journal Science, confirm a prediction of the Standard Model and establish constraints on alternative theoretical models. Image c COHERENT collaborators were the first to observe coherent elastic neutrino–nucleus scattering. Their results, published in the journal Science, confirm a prediction of the Standard Model and establish constraints on alternative theoretical models. Image c](/sites/default/files/styles/list_page_thumbnail/public/SLIDESHOW%202_collaboration.jpg?itok=icKSVyYi)
After more than a year of operation at the Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL), the COHERENT experiment, using the world’s smallest neutrino detector, has found a big fingerprint of the elusive, electrically neutral particles that interact only weakly with matter.
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/2017-S00094_2.jpg?itok=ZGWBnMOv)
Researchers used neutrons to probe a running engine at ORNL’s Spallation Neutron Source
![ORNL-Lenvio_tech_license_signing_ceremony2 ORNL-Lenvio_tech_license_signing_ceremony2](/sites/default/files/styles/list_page_thumbnail/public/ORNL-Lenvio_tech_license_signing_ceremony2.jpg?itok=xcfN-PbJ)
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.