![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/featured_square_large/public/2024-07/2023-P08173.jpg?h=c6980913&itok=LnJLvflD)
Filter News
Area of Research
- (-) Materials (78)
- (-) Supercomputing (67)
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Environment (34)
- Building Technologies (1)
- Clean Energy (99)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (13)
- Electricity and Smart Grid (1)
- Fusion and Fission (13)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials Characterization (1)
- Materials for Computing (14)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (16)
- Neutron Science (31)
- Nuclear Science and Technology (7)
- Quantum information Science (4)
- Sensors and Controls (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Bioenergy (13)
- (-) Biomedical (13)
- (-) Computer Science (48)
- (-) Fusion (5)
- (-) Grid (5)
- (-) Materials Science (56)
- (-) Quantum Science (21)
- (-) Summit (20)
- (-) Transportation (12)
- 3-D Printing/Advanced Manufacturing (21)
- Advanced Reactors (3)
- Artificial Intelligence (15)
- Big Data (5)
- Biology (8)
- Biotechnology (1)
- Buildings (4)
- Chemical Sciences (24)
- Clean Water (1)
- Climate Change (9)
- Composites (7)
- Coronavirus (10)
- Critical Materials (15)
- Cybersecurity (6)
- Decarbonization (6)
- Energy Storage (28)
- Environment (15)
- Exascale Computing (8)
- Frontier (13)
- High-Performance Computing (16)
- Isotopes (7)
- ITER (1)
- Machine Learning (6)
- Materials (53)
- Microscopy (19)
- Molten Salt (3)
- Nanotechnology (31)
- National Security (5)
- Net Zero (1)
- Neutron Science (26)
- Nuclear Energy (7)
- Partnerships (8)
- Physics (19)
- Polymers (13)
- Quantum Computing (9)
- Renewable Energy (1)
- Security (4)
- Simulation (2)
- Space Exploration (3)
- Sustainable Energy (13)
- Transformational Challenge Reactor (1)
Media Contacts
![Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-11/2008-P01679_0.jpg?h=6acbff97&itok=ewBiiftq)
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
![Watermarks, considered the most efficient mechanisms for tracking how complete streaming data processing is, allow new tasks to be processed immediately after prior tasks are completed. Image Credit: Nathan Armistead, ORNL](/sites/default/files/styles/list_page_thumbnail/public/2021-11/Watermarks%5B1%5D.jpg?h=f7cc716d&itok=Er5k0WwK)
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
![INCITE_narrow_logo](/sites/default/files/styles/list_page_thumbnail/public/2021-11/incite_narrow_1.png?h=a08abdbb&itok=2O5LBHgQ)
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.
![Larry Baylor, left, and Andrew Lupini have been elected fellows of the American Physical Society. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-10/APSfellows.jpg?h=e91a75a9&itok=rDVqiCkQ)
ORNL's Larry Baylor and Andrew Lupini have been elected fellows of the American Physical Society.
![Oak Ridge National Laboratory entrance sign](/themes/custom/ornl/images/default-thumbnail.jpg)
A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL
![Compression (red arrows) alters crystal symmetry (green arrows), which changes band dispersion (left and right), leading to highly mobile electrons. Credit: Jaimee Janiga, Andrew Sproles, Satoshi Okamoto/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-09/2021-G01361_NewsReleaseGraphic1_091321.jpg?h=d1cb525d&itok=P863Du6G)
A team led by the ORNL has found a rare quantum material in which electrons move in coordinated ways, essentially “dancing.”
![From top to bottom respectively, alloys were made without nanoprecipitates or with coarse or fine nanoprecipitates to assess effects of their sizes and spacings on mechanical behavior. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/beat1.jpg?h=97c79c76&itok=_hh-NOFW)
Scientists at ORNL and the University of Tennessee, Knoxville, have found a way to simultaneously increase the strength and ductility of an alloy by introducing tiny precipitates into its matrix and tuning their size and spacing.
![Sergei Kalinin](/sites/default/files/styles/list_page_thumbnail/public/2021-05/2019-P00127%20%281%29.jpg?h=49ab6177&itok=anhrhQ-g)
Sergei Kalinin, a scientist and inventor at the Department of Energy’s Oak Ridge National Laboratory, has been elected a fellow of the Microscopy Society of America professional society.
![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.
![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.