![Prasanna Balaprakash](/sites/default/files/styles/featured_square_large/public/2024-08/2023-P02525.jpg?h=502e75fa&itok=ePVQC-A5)
Filter News
Area of Research
- Advanced Manufacturing (22)
- Biology and Environment (57)
- Building Technologies (2)
- Clean Energy (154)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (3)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (3)
- Isotopes (25)
- Materials (94)
- Materials for Computing (17)
- Mathematics (1)
- National Security (57)
- Neutron Science (109)
- Nuclear Science and Technology (15)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (124)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (125)
- (-) Big Data (58)
- (-) Clean Water (30)
- (-) Computer Science (194)
- (-) Fossil Energy (6)
- (-) Grid (65)
- (-) Isotopes (54)
- (-) Machine Learning (48)
- (-) National Security (67)
- (-) Neutron Science (132)
- (-) Quantum Science (69)
- Advanced Reactors (34)
- Artificial Intelligence (95)
- Bioenergy (92)
- Biology (100)
- Biomedical (59)
- Biotechnology (23)
- Buildings (59)
- Chemical Sciences (68)
- Climate Change (101)
- Composites (29)
- Coronavirus (46)
- Critical Materials (28)
- Cybersecurity (35)
- Decarbonization (81)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (110)
- Environment (197)
- Exascale Computing (39)
- Frontier (44)
- Fusion (55)
- High-Performance Computing (88)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Materials (144)
- Materials Science (143)
- Mathematics (9)
- Mercury (12)
- Microelectronics (3)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- Net Zero (14)
- Nuclear Energy (110)
- Partnerships (49)
- Physics (63)
- Polymers (33)
- Quantum Computing (35)
- Renewable Energy (2)
- Security (24)
- Simulation (49)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (59)
- Sustainable Energy (129)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
![Students listen as ORNL instrument scientist Hanyu Wang explains the intricacies of the LIQREF instrument at the Spallation Neutron Source](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2024-P14425.jpg?h=c6980913&itok=4mINtyca)
The 26th annual National School on Neutron and X-ray Scattering School concluded on August 9, 2024. Each year, more than 200 graduate students in North America studying physics, chemistry, engineering, biological matter and more compete to participate in NXS. However, given limited space, only 60 can be accepted. The school exposes graduate students to neutron and X-ray scattering techniques through lectures, experiments, and tutorials.
![Benjamin Manard](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2021-P08328.jpg?h=8f0b2d98&itok=ZKVil-VE)
Benjamin Manard, an analytical chemist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, will receive the 2024 Lester W. Strock Award from the Society of Applied Spectroscopy.
![Ten future U.S. Army officers](/sites/default/files/styles/list_page_thumbnail/public/2024-08/army.png?h=eb64f19d&itok=Id5jZd2m)
Ten future U.S. Army officers recently visited ORNL to learn about the legacy of nuclear science. As students of the Nuclear Science and Engineering Research Center, or NSERC, with the Defense Threat Reduction Agency, or DTRA, they stopped in East Tennessee as part of a larger tour across nuclear facilities supporting the military. In Oak Ridge, they visited ORNL to gain an appreciation of the history of the Manhattan Project and how research at a national lab contributes new materials and electronics for the nuclear industry.
![Prasanna Balaprakash](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2023-P02525.jpg?h=502e75fa&itok=4dkxoqpK)
Prasanna Balaprakash, director of AI programs at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
![Green and blue background of a graphic image that says Honors and Awards](/sites/default/files/styles/list_page_thumbnail/public/2024-07/HonorsandAwards4.jpg?h=d1cb525d&itok=5_BrUH4R)
Two additive manufacturing researchers from ORNL received prestigious awards from national organizations. Amy Elliott and Nadim Hmeidat, who both work in the Manufacturing Science Division, were recognized recently for their early career accomplishments.
![Image with a grey and black backdrop - in front is a diamond with two circles coming out from it, showing the insides.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/thumbnail_OLCF_BC8.jpg?h=b5b1176d&itok=LE-EYtQH)
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
Joe Tuccillo, a human geography research scientist, leads the UrbanPop project that uses census data to create synthetic populations. Using a Python software suite called Likeness on ORNL’s high-performance computers, Tuccillo’s team generates a population with individual ‘agents’ designed to represent people that interact with other agents, facilities and services in a simulated neighborhood.
![Dmytro Bykov, left, and Hector Corzo participate in a value proposition development exercise as part Energy I-Corps](/sites/default/files/styles/list_page_thumbnail/public/2024-07/ICorps18a.jpg?h=92704f59&itok=58Y6bvrB)
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
![ORNL researchers Phani Marthi and Suman Debnath work on developing and scaling up new EMT simulation software to analyze how power electronics in the electric grid will respond to brief interruptions in power flow. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Suman%20%26%20Phani%20working%20in%20GRID-C.jpg?h=c6980913&itok=NvMil7os)
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P08173.jpg?h=c6980913&itok=Ed354_C-)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.