![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
- Biology and Environment (4)
- Clean Energy (6)
- Computational Biology (1)
- Fusion and Fission (8)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (10)
- Materials for Computing (6)
- National Security (1)
- Neutron Science (7)
- Nuclear Science and Technology (3)
- Supercomputing (10)
News Type
News Topics
- (-) Artificial Intelligence (6)
- (-) Frontier (4)
- (-) Materials Science (16)
- (-) Microscopy (7)
- (-) Nanotechnology (8)
- (-) Nuclear Energy (9)
- (-) Physics (3)
- (-) Security (3)
- 3-D Printing/Advanced Manufacturing (12)
- Advanced Reactors (1)
- Big Data (2)
- Bioenergy (10)
- Biology (19)
- Biomedical (10)
- Biotechnology (4)
- Buildings (6)
- Chemical Sciences (6)
- Clean Water (3)
- Climate Change (4)
- Composites (3)
- Computer Science (23)
- Coronavirus (6)
- Critical Materials (3)
- Cybersecurity (4)
- Decarbonization (4)
- Energy Storage (14)
- Environment (24)
- Exascale Computing (2)
- Fusion (7)
- Grid (4)
- High-Performance Computing (14)
- Isotopes (10)
- ITER (2)
- Machine Learning (1)
- Materials (14)
- Mercury (3)
- National Security (7)
- Neutron Science (12)
- Polymers (4)
- Quantum Computing (4)
- Quantum Science (9)
- Space Exploration (3)
- Summit (9)
- Sustainable Energy (13)
- Transportation (10)
Media Contacts
![ORNL’s Sergei Kalinin and Rama Vasudevan (foreground) use scanning probe microscopy to study bulk ferroelectricity and surface electrochemistry -- and generate a lot of data. Credit: Jason Richards/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-05/KalininVasudevan_2017-P03014_0.jpg?h=1116cd87&itok=KEEOB4hi)
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
![Oak Ridge National Laboratory’s MENNDL AI software system can design thousands of neural networks in a matter of hours. One example uses a driving simulator to evaluate a network’s ability to perceive objects under various lighting conditions. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-04/CARLA%20MENNDL%20sim001_1.png?h=e2caa22a&itok=tvE9seMo)
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
![Heavy-duty vehicles contribute 23% of transportation emissions of greenhouse gases and account for almost one-quarter of the fuel consumed annually in the U.S. Credit: Chris Bair/Unsplash](/sites/default/files/styles/list_page_thumbnail/public/2021-04/highways_stock_0.jpg?h=1cbed347&itok=0cBMibFU)
Through a consortium of Department of Energy national laboratories, ORNL scientists are applying their expertise to provide solutions that enable the commercialization of emission-free hydrogen fuel cell technology for heavy-duty
![Nuclear engineer Nesrin Ozgan Cetiner led ORNL’s collaboration with AMS Corp. to test instrument and control sensors for the next generation of nuclear power reactor technology. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-04/Nesrin_Cetiner_AMS_article_2021-P02224%5B2%5D.jpg?h=acaf5000&itok=YDUKbigy)
Toward the goal of bringing the next generation of nuclear power reactor technology online this decade, ORNL and Analysis and Measurement Services Corporation have successfully completed loop testing of instrument and control sensors for an advanced reactor design for small modular reactors.
![INCITE logo](/sites/default/files/styles/list_page_thumbnail/public/2021-04/INCITE_2021.png?h=ae114f5c&itok=JWYnqxg5)
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
![Parans Paranthaman, a researcher in the Chemical Sciences Division at ORNL, coordinated research efforts to study the filter efficiency of the N95 material. His published results represent one of the first studies on polypropylene as it relates to COVID-19. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-04/2021-P01675.jpg?h=18f5407d&itok=B3UCcJxT)
When COVID-19 was declared a pandemic in March 2020, Oak Ridge National Laboratory’s Parans Paranthaman suddenly found himself working from home like millions of others.
![ATOM logo](/sites/default/files/styles/list_page_thumbnail/public/2021-03/ATOM_Logo_small.png?h=8f9cfe54&itok=Qpezfk8V)
The Accelerating Therapeutics for Opportunities in Medicine , or ATOM, consortium today announced the U.S. Department of Energy’s Oak Ridge, Argonne and Brookhaven national laboratories are joining the consortium to further develop ATOM’s artificial intelligence, or AI-driven, drug discovery platform.
![Nesaraja split her effort between nuclear data evaluation and experimentation at ORNL’s now-closed Holifield Radioactive Ion Beam Facility. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-03/2021-P00917_0.jpg?h=8f9cfe54&itok=8oV5bH2S)
Nuclear physicist Caroline Nesaraja of the Department of Energy’s Oak Ridge National Laboratory evaluates nuclear data vital to applied and basic sciences.
![Researchers at ORNL and the University of Tennessee developed an automated workflow that combines chemical robotics and machine learning to speed the search for stable perovskites. Credit: Jaimee Janiga/ORNL, U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-03/AutomatedWorkflow_PressRelease_022621-07_0.jpg?h=d6adbc87&itok=nfL25uee)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and the University of Tennessee are automating the search for new materials to advance solar energy technologies.
![Verónica Melesse Vergara speaks with third and fourth graders at East Side Intermediate School in Brownsville. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/EWeek_vergara_0.jpg?h=c44fcfa1&itok=-FdYpHed)
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.