![Man in blue button down shirt poses outside for a picture with his arms crossed.](/sites/default/files/styles/featured_square_large/public/2024-07/Troy_Carter_headshot.jpeg?h=8a7fc05e&itok=VFmZIzHo)
Filter News
Area of Research
- (-) Clean Energy (95)
- (-) Computational Engineering (2)
- (-) Materials (40)
- (-) Neutron Science (18)
- Advanced Manufacturing (6)
- Biology and Environment (57)
- Building Technologies (2)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (6)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials for Computing (11)
- National Security (23)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (82)
News Topics
- (-) Artificial Intelligence (17)
- (-) Machine Learning (13)
- (-) Mercury (3)
- (-) Polymers (22)
- (-) Space Exploration (8)
- (-) Summit (10)
- (-) Sustainable Energy (71)
- 3-D Printing/Advanced Manufacturing (91)
- Advanced Reactors (9)
- Big Data (9)
- Bioenergy (33)
- Biology (17)
- Biomedical (21)
- Biotechnology (5)
- Buildings (36)
- Chemical Sciences (34)
- Clean Water (11)
- Climate Change (23)
- Composites (19)
- Computer Science (44)
- Coronavirus (21)
- Critical Materials (19)
- Cybersecurity (11)
- Decarbonization (35)
- Energy Storage (89)
- Environment (67)
- Exascale Computing (3)
- Fossil Energy (3)
- Frontier (4)
- Fusion (8)
- Grid (41)
- High-Performance Computing (12)
- Hydropower (2)
- Irradiation (1)
- Isotopes (13)
- ITER (1)
- Materials (100)
- Materials Science (99)
- Mathematics (3)
- Microelectronics (1)
- Microscopy (29)
- Molten Salt (3)
- Nanotechnology (45)
- National Security (7)
- Net Zero (3)
- Neutron Science (107)
- Nuclear Energy (23)
- Partnerships (16)
- Physics (31)
- Quantum Computing (4)
- Quantum Science (16)
- Renewable Energy (1)
- Security (8)
- Simulation (4)
- Statistics (1)
- Transformational Challenge Reactor (5)
- Transportation (71)
Media Contacts
![Melton Hill Dam](/sites/default/files/styles/list_page_thumbnail/public/2022-08/Melton%20Hill%20Dam_Thumbnail.jpg?h=10d202d3&itok=2XzUkPIq)
To further the potential benefits of the nation’s hydropower resources, researchers at Oak Ridge National Laboratory have developed and maintain a comprehensive water energy digital platform called HydroSource.
![The AI-driven HyperCT platform has three primary points of articulation that can rotate a sample in almost any direction, eliminating the need for human intervention and significantly reducing lengthy experiment times. Credit: Genevieve Martin, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-07/acquisition_0.jpg?h=c6980913&itok=9M0eCGXt)
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
![Innovation Crossroads Cohort Six includes: Bianca Bailey, Agriwater; Rajan Kumar, Ateois Systems; Alex Stiles, Vitriform3D; Kim Tutin, Captis Aire; Anca Timofte, Holocene Climate; and Pete Willette, facil.ai. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-07/innovationcrossroads_0.jpg?h=e91a75a9&itok=hktN6L5d)
Oak Ridge National Laboratory’s Innovation Crossroads program welcomes six new science and technology innovators from across the United States to the sixth cohort.
![ORNL mechanical engineer Marm Dixit focuses his research on solid-state batteries and their potential use in electric vehicles. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-07/2022-P00549.jpg?h=c6980913&itok=lWzasKTC)
Mechanical engineer Marm Dixit’s work is all about getting electricity to flow efficiently from one end of a solid-state battery to the other. It’s a high-stakes problem
![ORNL polymer scientists Tomonori Saito, left, and Sungjin Kim upcycled waste plastic to create a stronger, tougher, solvent-resistant material for new additive manufacturing applications. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-06/2022-P04745_2.jpg?h=c6980913&itok=9DI9K-vJ)
ORNL researchers have developed an upcycling approach that adds value to discarded plastics for reuse in additive manufacturing, or 3D printing.
![Jim Szybist, Propulsion Science section head at ORNL, is applying his years of alternative fuel combustion and thermodynamics research to the challenge of cleaning up the hard-to-decarbonize, heavy-duty mobility sector. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2022-05/Picture1_6.jpg?h=b67478d5&itok=3BWDWSU8)
What’s getting Jim Szybist fired up these days? It’s the opportunity to apply his years of alternative fuel combustion and thermodynamics research to the challenge of cleaning up the hard-to-decarbonize, heavy-duty mobility sector — from airplanes to locomotives to ships and massive farm combines.
![A smart approach to microscopy and imaging developed at Oak Ridge National Laboratory could drive discoveries in materials for future technologies. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/PFC%20Surface%20v3%20300dpi_1.jpg?h=9c3ba2fc&itok=s8arZbEt)
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
![The ORNL researchers’ findings may enable better detection of uranium tetrafluoride hydrate, a little-studied byproduct of the nuclear fuel cycle, and better understanding of how environmental conditions influence the chemical behavior of fuel cycle materials. Credit: Kevin Pastoor/Colorado School of Mines](/sites/default/files/styles/list_page_thumbnail/public/2022-05/UF4%20hydrate.png?h=d318f057&itok=spT-Dg48)
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
![Oak Ridge National Laboratory researchers used an invertible neural network, a type of artificial intelligence that mimics the human brain, to select the most suitable materials for desired properties, such as flexibility or heat resistance, with high chemical accuracy. The study could lead to more customizable materials design for industry.](/sites/default/files/styles/list_page_thumbnail/public/2022-04/CCSD_NeuralNetworkBanner.png?h=b16f811b&itok=fxqDEvs_)
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
![Earth Day](/sites/default/files/styles/list_page_thumbnail/public/2022-04/Earth%20image.png?h=8f74817f&itok=5rQ_su9Z)
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.