Filter News
Area of Research
- Advanced Manufacturing (11)
- Biology and Environment (13)
- Building Technologies (1)
- Clean Energy (45)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Fusion Energy (6)
- Materials (14)
- Materials for Computing (4)
- Mathematics (1)
- National Security (2)
- Neutron Science (1)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (4)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (31)
- (-) Climate Change (22)
- (-) Fusion (9)
- (-) Grid (20)
- (-) Machine Learning (10)
- (-) Microscopy (11)
- (-) Physics (4)
- (-) Statistics (1)
- Advanced Reactors (13)
- Artificial Intelligence (13)
- Big Data (16)
- Bioenergy (15)
- Biology (17)
- Biomedical (11)
- Biotechnology (3)
- Buildings (19)
- Chemical Sciences (9)
- Clean Water (13)
- Composites (9)
- Computer Science (39)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (8)
- Energy Storage (31)
- Environment (43)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Materials (35)
- Materials Science (33)
- Mathematics (1)
- Mercury (3)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (1)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Summit (6)
- Sustainable Energy (44)
- Transportation (35)
Media Contacts
![Melton Hill Dam](/sites/default/files/styles/list_page_thumbnail/public/2022-08/Melton%20Hill%20Dam_Thumbnail.jpg?h=10d202d3&itok=2XzUkPIq)
To further the potential benefits of the nation’s hydropower resources, researchers at Oak Ridge National Laboratory have developed and maintain a comprehensive water energy digital platform called HydroSource.
![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.
![Physicist Charles Havener uses the NASA end station at ORNL’s Multicharged Ion Research Facility to simulate the origin of X-ray emissions from space. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/2021-P08920_0.jpg?h=c6980913&itok=zfXx31gD)
Scientists are using Oak Ridge National Laboratory’s Multicharged Ion Research Facility to simulate the cosmic origin of X-ray emissions resulting when highly charged ions collide with neutral atoms and molecules, such as helium and gaseous hydrogen.
![With seismic and acoustic data recorded by remote sensors near ORNL’s High Flux Isotope Reactor, researchers could predict whether the reactor was on or off with 98% accuracy. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/Seismo%20acoustic%20draft%20v3_0.jpg?h=2e111cc1&itok=0oLpYDc8)
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
![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.
![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.
![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.
![Oak Ridge National Laboratory researchers used big area additive manufacturing with metal to 3D print a steel component for a wind turbine, proving the technique as a viable alternative to conventional fabrication methods. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/Picture1_1.jpg?h=2fa4ad28&itok=tr6lrVrr)
Oak Ridge National Laboratory researchers recently used large-scale additive manufacturing with metal to produce a full-strength steel component for a wind turbine, proving the technique as a viable alternative to
![Results show change in annual aridity for the years 2071-2100 compared to 1985-2014. Brown shadings (negative numbers) indicate drier conditions. Black dots indicate statistical significance at the 90% confidence level. Credit: Jiafu Mao/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/aridMap-02_0.jpg?h=a87f0b51&itok=qE0e2qbs)
A new analysis from Oak Ridge National Laboratory shows that intensified aridity, or drier atmospheric conditions, is caused by human-driven increases in greenhouse gas emissions. The findings point to an opportunity to address and potentially reverse the trend by reducing emissions.
![A new process developed by Oak Ridge National Laboratory leverages deep learning techniques to study cell movements in a simulated environment, guided by simple physics rules similar to video-game play. Credit: MSKCC and UTK](/sites/default/files/styles/list_page_thumbnail/public/2022-01/Observed%20data%20AI%20story%20tip.jpg?h=8e5dac0a&itok=wrAOsfIs)
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.