![Researcher Brittany Rodriguez works with an ORNL-developed Additive Manufacturing/Compression Molding system that 3D prints large-scale, high-volume parts made from lightweight composites. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/featured_square_large/public/2024-07/Rodriguez%20profile%20photo%202.jpg?h=b3660f0d&itok=xn0NRyVn)
Filter News
Area of Research
- (-) Clean Energy (108)
- (-) Fusion Energy (10)
- (-) Materials Characterization (1)
- Advanced Manufacturing (10)
- Biological Systems (1)
- Biology and Environment (44)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (32)
- Isotope Development and Production (1)
- Isotopes (11)
- Materials (123)
- Materials for Computing (18)
- Materials Under Extremes (1)
- National Security (28)
- Neutron Science (107)
- Nuclear Science and Technology (41)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (58)
- Transportation Systems (1)
News Topics
- (-) Biomedical (6)
- (-) Composites (17)
- (-) Grid (40)
- (-) Machine Learning (7)
- (-) Materials Science (29)
- (-) Mercury (3)
- (-) Neutron Science (11)
- (-) Nuclear Energy (17)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (79)
- Advanced Reactors (13)
- Artificial Intelligence (8)
- Big Data (5)
- Bioenergy (26)
- Biology (11)
- Biotechnology (4)
- Buildings (36)
- Chemical Sciences (14)
- Clean Water (8)
- Climate Change (21)
- Computer Science (27)
- Coronavirus (12)
- Critical Materials (9)
- Cybersecurity (8)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (3)
- Fusion (14)
- High-Performance Computing (6)
- Hydropower (2)
- Isotopes (1)
- Materials (38)
- Mathematics (2)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (5)
- Net Zero (3)
- Partnerships (12)
- Physics (1)
- Polymers (11)
- Quantum Science (2)
- Renewable Energy (1)
- Security (6)
- Simulation (4)
- Statistics (1)
- Summit (5)
- Sustainable Energy (71)
- Transformational Challenge Reactor (3)
- Transportation (65)
Media Contacts
![EERE Assistant Secretary Daniel Simmons, center right, with ORNL’s Xin Sun, EERE Deputy Assistant Secretary Alex Fitzsimmons and ORNL’s Moe Khaleel, helped launch new capabilities to advance connected and automated vehicle technologies at the DOE National Transportation Research Center at ORNL. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-10/25acbb45-a7e5-43e8-844d-598afb8150c4_0.jpg?h=165596a9&itok=5Bt--mUR)
ORNL and Department of Energy officials dedicated the launch of two clean energy research initiatives that focus on the recycling and recovery of advanced manufacturing materials and on connected and
![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.
![Researcher Chase Joslin uses Peregrine software to monitor and analyze a component being 3D printed at the Manufacturing Demonstration Facility at ORNL. Credit: Luke Scime/ORNL, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Peregrine%20Chase%20Joslin_0.jpg?h=51c7b451&itok=4Hc6PNwu)
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
![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.
![Cars and coronavirus](/sites/default/files/styles/list_page_thumbnail/public/2020-08/Transportation-Gauging_pandemic_impact_ORNL_0.jpg?h=4a7d1ed4&itok=Xqx4kknO)
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
![The hybrid inverter developed by ORNL is an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and interact efficiently with the utility power grid. Credit: Carlos Jones, ORNL/U.S. Dept of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2020-07/2020-P09169.jpg?h=42d56c10&itok=Yb1_gWYE)
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
![Sergei Kalinin](/sites/default/files/styles/list_page_thumbnail/public/2020-07/2019-P00126_0.png?h=5969a3b5&itok=66cucDCt)
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
![An organic solvent and water separate and form nanoclusters on the hydrophobic and hydrophilic sections of plant material, driving the efficient deconstruction of biomass. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/2020-07/THF_high_res.gif)
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable
![Map with focus on sub-saharan Africa](/sites/default/files/styles/list_page_thumbnail/public/2020-07/firms3-Africa-NASA_0.jpg?h=27f1d52b&itok=G8uUS5cH)
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
![Drawing of thin-film cathode technology](/sites/default/files/styles/list_page_thumbnail/public/2020-07/Solid%20state%20stability%20check-batteries.jpg?h=850c4449&itok=PNDLwIw7)
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.