![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (12)
- Building Technologies (2)
- Clean Energy (48)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Energy Sciences (2)
- Fusion and Fission (3)
- Fusion Energy (6)
- Isotopes (4)
- Materials (22)
- Materials for Computing (5)
- Mathematics (1)
- National Security (2)
- Neutron Science (3)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Supercomputing (18)
News Type
News Topics
- (-) Computer Science (40)
- (-) Energy Storage (31)
- (-) Exascale Computing (1)
- (-) Frontier (1)
- (-) Fusion (9)
- (-) Isotopes (5)
- (-) Microscopy (11)
- (-) Partnerships (1)
- (-) Polymers (9)
- (-) Sustainable Energy (45)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Artificial Intelligence (13)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biomedical (11)
- Biotechnology (3)
- Buildings (19)
- Chemical Sciences (11)
- Clean Water (13)
- Climate Change (23)
- Composites (9)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (9)
- Environment (44)
- Fossil Energy (1)
- Grid (21)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- ITER (3)
- Machine Learning (11)
- Materials (35)
- Materials Science (34)
- Mathematics (2)
- Mercury (3)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Neutron Science (27)
- Nuclear Energy (19)
- Physics (4)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Transportation (35)
Media Contacts
![Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2022-05/CCSD%20Neuro-climate.png?h=845c699a&itok=AJbSKZF8)
Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions.
![A large generator is installed at the Meldahl hydropower plant in Kentucky. The energy sector anticipates longer lead times in procuring such large components for increasing construction and modernization of U.S. hydropower plants. Credit: American Municipal Power](/sites/default/files/styles/list_page_thumbnail/public/2022-04/Turbine.jpg?h=d6da01b6&itok=GxSyq_DK)
A new Department of Energy report produced by Oak Ridge National Laboratory identifies several supply chain must-haves in maintaining the pivotal role hydropower will play in decarbonizing the nation’s grid.
![Virginia-based battery technology company, BTRY, has licensed several electrolyte and thin-film coating technologies, developed at Oak Ridge National Laboratory, to make batteries with increased energy density, at lower cost, and with an improved safety profile in crashes. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-03/2021-P11907.jpg?h=c6980913&itok=dPCyvLmj)
Several electrolyte and thin-film coating technologies, developed at Oak Ridge National Laboratory, have been licensed by BTRY, a battery technology company based in Virginia, to make batteries with increased energy density, at lower cost, and with an improved safety profile in crashes.
![Researchers at Oak Ridge National Laboratory demonstrated center-of-mass scanning transmission electron microscopy to observe lithium along with heavier elements in battery materials at atomic resolution. Credit: Chad Malone/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-03/X2200362_Ashley%20Huff_PressReleaseIllustration_CM-04_0.png?h=8ad5a422&itok=zNjz98cr)
Oak Ridge National Laboratory researchers demonstrated an electron microscopy technique for imaging lithium in energy storage materials, such as lithium ion batteries, at the atomic scale.
![The ORNL-developed AquaBOT measures a range of water quality indicators, providing data for studies focused on clean water and sustainable energy. Credit: Natalie Griffiths/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-03/IMG_0202.jpeg?h=71976bb4&itok=s06JSk1o)
Measuring water quality throughout river networks with precision, speed and at lower cost than traditional methods is now possible with AquaBOT, an aquatic drone developed by Oak Ridge National Laboratory.
![ORNL researchers worked with partners at the Colorado School of Mines and Baylor University to develop a new process optimization and control method for a closed-circuit reverse osmosis desalination system. The work is intended to support fully automated, decentralized water treatment plants. Credit: Andrew Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-02/seay_nawiStoryTip01-01_0.png?h=8f76a359&itok=1YanCIho)
Oak Ridge National Laboratory scientists worked with the Colorado School of Mines and Baylor University to develop and test control methods for autonomous water treatment plants that use less energy and generate less waste.
![ORNL’s Brenda Pracheil, left, and Kristine Moody collect water samples at Melton Hill Lake using a sophisticated instrument that collects DNA in the water to determine fish species and number of fish in the water, which could prove useful for monitoring hydropower impacts. Credit: Carlos Jones, ORNL/U.S Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/2020-P17436_0.jpg?h=c6980913&itok=BXPhSslk)
Researchers at Oak Ridge National Laboratory are using a novel approach in determining environmental impacts to aquatic species near hydropower facilities, potentially leading to smarter facility designs that can support electrical grid reliability.
![ORNL has developed the SolidPAC tool to help researchers design energy-dense, long-lived and safe solid-state batteries. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/SolidPac%20Battery_0.jpg?h=1819934d&itok=MvNKBb1v)
Scientists can speed the design of energy-dense solid-state batteries using a new tool created by Oak Ridge National Laboratory.
![ORNL is making underused or inaccessible bioenergy data available to accelerate innovation for the bioeconomy. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/refineryData03_0.jpg?h=bb83cc06&itok=k0NhyfH7)
A research team from Oak Ridge National Laboratory has identified and improved the usability of data that can help accelerate innovation for the growing bioeconomy.
![ORNL’s Eva Zarkadoula seeks piezoelectric materials for sensors that can withstand irradiation, which causes cascading collisions that displace atoms and produces defects. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/2021-P10023_0.jpg?h=8f9cfe54&itok=6mtG9JEk)
To advance sensor technologies, Oak Ridge National Laboratory researchers studied piezoelectric materials, which convert mechanical stress into electrical energy, to see how they could handle bombardment with energetic neutrons.