![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- Advanced Manufacturing (5)
- Biological Systems (2)
- Biology and Environment (96)
- Biology and Soft Matter (1)
- Clean Energy (74)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (13)
- Fusion Energy (8)
- Isotopes (25)
- Materials (68)
- Materials for Computing (8)
- Mathematics (1)
- National Security (27)
- Neutron Science (103)
- Nuclear Science and Technology (21)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (93)
News Topics
- (-) Advanced Reactors (34)
- (-) Artificial Intelligence (98)
- (-) Bioenergy (92)
- (-) Climate Change (104)
- (-) Education (4)
- (-) Frontier (45)
- (-) Isotopes (56)
- (-) Mercury (12)
- (-) Neutron Science (134)
- (-) Security (25)
- 3-D Printing/Advanced Manufacturing (125)
- Big Data (60)
- Biology (100)
- Biomedical (60)
- Biotechnology (23)
- Buildings (62)
- Chemical Sciences (71)
- Clean Water (31)
- Composites (29)
- Computer Science (195)
- Coronavirus (46)
- Critical Materials (29)
- Cybersecurity (35)
- Decarbonization (82)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (112)
- Environment (198)
- Exascale Computing (41)
- Fossil Energy (6)
- Fusion (57)
- Grid (66)
- High-Performance Computing (91)
- Hydropower (11)
- Irradiation (3)
- ITER (7)
- Machine Learning (49)
- Materials (146)
- Materials Science (145)
- Mathematics (9)
- Microelectronics (4)
- Microscopy (51)
- Molten Salt (9)
- Nanotechnology (60)
- National Security (71)
- Net Zero (14)
- Nuclear Energy (111)
- Partnerships (49)
- Physics (64)
- Polymers (33)
- Quantum Computing (37)
- Quantum Science (71)
- Renewable Energy (2)
- Simulation (50)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (59)
- Sustainable Energy (130)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
![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.
![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.
![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.
![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.
![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.
![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.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
![This photo is of four men standing in front of a wall of monitors that are showing a tree looking image.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P18264.jpg?h=c6980913&itok=5vhjgeck)
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
![Arial view of the Atchafalaya Basin](/sites/default/files/styles/list_page_thumbnail/public/2024-07/CoastalEco_atchafalayadelta_pho_2010113.jpg?h=34e43602&itok=_bt6Z5Va)
In the wet, muddy places where America’s rivers and lands meet the sea, scientists from the Department of Energy’s Oak Ridge National Laboratory are unearthing clues to better understand how these vital landscapes are evolving under climate change.
![Digital image of molecules would look like. There are 10 clusters of these shapes in grey, red and blue with a teal blue background](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Picture6.jpg?h=7e1075cf&itok=YSLnbbso)
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.