Filter News
Area of Research
- (-) Computer Science (6)
- (-) Fusion Energy (5)
- (-) Neutron Science (7)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (15)
- Clean Energy (49)
- Computational Biology (1)
- Computational Engineering (1)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (1)
- Isotopes (2)
- Materials (14)
- Materials for Computing (2)
- National Security (3)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (7)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (5)
- (-) Bioenergy (1)
- (-) Biomedical (2)
- (-) Energy Storage (3)
- (-) Grid (2)
- (-) Nuclear Energy (6)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (6)
- Big Data (3)
- Buildings (1)
- Chemical Sciences (1)
- Computer Science (12)
- Environment (2)
- Frontier (1)
- Fusion (6)
- High-Performance Computing (1)
- Machine Learning (3)
- Materials (3)
- Materials Science (5)
- Microscopy (1)
- Nanotechnology (1)
- Neutron Science (23)
- Physics (1)
- Quantum Science (2)
- Space Exploration (1)
- Summit (1)
- Sustainable Energy (3)
Media Contacts
![Researchers have shown how an all-solid lithium-based electrolyte material can be used to develop fast charging, long-range batteries for electric vehicles that are also safer than conventional designs. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-10/Lui_solid_state_0.png?h=27870e4a&itok=hd5IA-bH)
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.
![Neutron scattering experiments at the Spallation Neutron Source revealed how the dynamics between copper and oxygen make a special type of enzyme excel at breaking down biomass. Insights could lead to lowering the cost of biofuel production. Credit: Jill Hemman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2023-05/23-G02576_Meilleur_0.png?h=b6717701&itok=jPIOwV6b)
Nonfood, plant-based biofuels have potential as a green alternative to fossil fuels, but the enzymes required for production are too inefficient and costly to produce. However, new research is shining a light on enzymes from fungi that could make biofuels economically viable.
![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.
![An open-source code developed by an ORNL-led team could provide new insights into the everyday operation of the nation’s power grid. Credit: Pixabay](/sites/default/files/styles/list_page_thumbnail/public/2021-10/digitization-gef50ab16f_1920_0.jpg?h=e5aec6c8&itok=55oFYLLz)
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
![Fuel pellets sometimes degrade to a sandlike consistency and can disperse into the reactor core if a rod’s cladding bursts. ORNL researchers are studying how often this happens and what impact it has, in order to let reactors operate as long as possible without increasing risk.](/sites/default/files/styles/list_page_thumbnail/public/2020-08/X2001338_FuelFragmentation_GraphicUpdate_Bumpus_jnj-02_0.jpg?h=049a2720&itok=mzNfF2cS)
A developing method to gauge the occurrence of a nuclear reactor anomaly has the potential to save millions of dollars.
![Using the ASGarD mathematical framework, scientists can model and visualize the electric fields, shown as arrows, circling around magnetic fields that are colorized to represent field magnitude of a fusion plasma. Credit: David Green/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Max1_t5e-1_EB_0.png?h=35bae166&itok=iRtx2TVM)
Combining expertise in physics, applied math and computing, Oak Ridge National Laboratory scientists are expanding the possibilities for simulating electromagnetic fields that underpin phenomena in materials design and telecommunications.
![Nuclear — Seeing inside particles](/sites/default/files/styles/list_page_thumbnail/public/2020-04/Kernels-nuclear%20materials-2_0.jpg?h=ae51ec69&itok=_AWiopZz)
Oak Ridge National Laboratory researchers working on neutron imaging capabilities for nuclear materials have developed a process for seeing the inside of uranium particles – without cutting them open.
![Smart Neighborhood homes](/sites/default/files/styles/list_page_thumbnail/public/2020-01/04.09.TD-SMartHome_0.jpg?h=5b5a5437&itok=22S5Tle1)
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
![Argon pellet injection text](/sites/default/files/styles/list_page_thumbnail/public/2019-11/13966_Ar_20degree_enhanced_0.jpg?h=8450e950&itok=tmff0GX_)
As scientists study approaches to best sustain a fusion reactor, a team led by Oak Ridge National Laboratory investigated injecting shattered argon pellets into a super-hot plasma, when needed, to protect the reactor’s interior wall from high-energy runaway electrons.
![Motion sensing technology](/sites/default/files/styles/list_page_thumbnail/public/2019-07/Coin-spin-ORNL.jpg?h=dbfb0746&itok=LtrLTeNM)
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.