![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
- Advanced Manufacturing (13)
- Biology and Environment (14)
- Building Technologies (2)
- Clean Energy (87)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (12)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (10)
- Fusion Energy (8)
- Isotopes (1)
- Materials (41)
- Materials for Computing (9)
- Mathematics (1)
- National Security (7)
- Neutron Science (9)
- Nuclear Science and Technology (8)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (29)
- Transportation Systems (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (50)
- (-) Advanced Reactors (18)
- (-) Computer Science (57)
- (-) Frontier (4)
- (-) Fusion (17)
- (-) Grid (25)
- (-) Machine Learning (13)
- (-) Molten Salt (6)
- (-) Physics (10)
- (-) Polymers (14)
- (-) Quantum Science (14)
- (-) Transportation (47)
- Artificial Intelligence (21)
- Big Data (21)
- Bioenergy (22)
- Biology (25)
- Biomedical (15)
- Biotechnology (3)
- Buildings (25)
- Chemical Sciences (24)
- Clean Water (13)
- Climate Change (29)
- Composites (13)
- Coronavirus (15)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (13)
- Energy Storage (48)
- Environment (59)
- Exascale Computing (4)
- Fossil Energy (1)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- Isotopes (14)
- ITER (4)
- Materials (68)
- Materials Science (54)
- Mathematics (2)
- Mercury (3)
- Microscopy (20)
- Nanotechnology (24)
- National Security (10)
- Net Zero (3)
- Neutron Science (41)
- Nuclear Energy (35)
- Partnerships (7)
- Quantum Computing (6)
- Security (4)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (56)
- Transformational Challenge Reactor (1)
Media Contacts
![Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w](/sites/default/files/styles/list_page_thumbnail/public/rs2019_highlight_plot_3d.png?itok=5bROV_ys)
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
![At the salt–metal interface, thermodynamic forces drive chromium from the bulk of a nickel alloy, leaving a porous, weakened layer. Impurities in the salt drive further corrosion of the structural material. Credit: Stephen Raiman/Oak Ridge National Labora At the salt–metal interface, thermodynamic forces drive chromium from the bulk of a nickel alloy, leaving a porous, weakened layer. Impurities in the salt drive further corrosion of the structural material. Credit: Stephen Raiman/Oak Ridge National Labora](/sites/default/files/styles/list_page_thumbnail/public/story%20tip%20image%20BW%20only.jpg?itok=Vbc0iTLt)
Oak Ridge National Laboratory scientists analyzed more than 50 years of data showing puzzlingly inconsistent trends about corrosion of structural alloys in molten salts and found one factor mattered most—salt purity.
![ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La ORNL scientists used commuting behavior data from East Tennessee to demonstrate how machine learning models can easily accept new data, quickly re-train themselves and update predictions about commuting patterns. Credit: April Morton/Oak Ridge National La](/sites/default/files/styles/list_page_thumbnail/public/study_area_one_dest_2.jpg?itok=2cWFkQvW)
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
![Supercomputing-Memory_boost1.jpg Supercomputing-Memory_boost1.jpg](/sites/default/files/styles/list_page_thumbnail/public/Supercomputing-Memory_boost1.jpg?itok=dDR8CnYC)
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
![Picture2.png Picture2.png](/sites/default/files/styles/list_page_thumbnail/public/Picture2_1.png?itok=IV4n9XEh)
Oak Ridge National Laboratory scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.
![18-G01703 PinchPoint-v2.jpg 18-G01703 PinchPoint-v2.jpg](/sites/default/files/styles/list_page_thumbnail/public/18-G01703%20PinchPoint-v2.jpg?itok=paJUPDI1)
Researchers used neutron scattering at Oak Ridge National Laboratory’s Spallation Neutron Source to investigate bizarre magnetic behavior, believed to be a possible quantum spin liquid rarely found in a three-dimensional material. QSLs are exotic states of matter where magnetism continues to fluctuate at low temperatures instead of “freezing” into aligned north and south poles as with traditional magnets.
![exp_in_10_dry_tube.jpg exp_in_10_dry_tube.jpg](/sites/default/files/styles/list_page_thumbnail/public/exp_in_10_dry_tube.jpg?itok=cmBuu2CQ)
Scientists from Oak Ridge National Laboratory performed a corrosion test in a neutron radiation field to support the continued development of molten salt reactors.
![X1800-REED-Maritime Risk Symposium 2018 logo-AM V5-01.jpg X1800-REED-Maritime Risk Symposium 2018 logo-AM V5-01.jpg](/sites/default/files/styles/list_page_thumbnail/public/X1800-REED-Maritime%20Risk%20Symposium%202018%20logo-AM%20V5-01.jpg?itok=_AN4HV63)
Thought leaders from across the maritime community came together at Oak Ridge National Laboratory to explore the emerging new energy landscape for the maritime transportation system during the Ninth Annual Maritime Risk Symposium.
![Autonomous_vehicle_simulation_ORNL.jpg Autonomous_vehicle_simulation_ORNL.jpg](/sites/default/files/styles/list_page_thumbnail/public/Autonomous_vehicle_simulation_ORNL.jpg?itok=2pnITULi)
Self-driving cars promise to keep traffic moving smoothly and reduce fuel usage, but proving those advantages has been a challenge with so few connected and automated vehicles, or CAVs, currently on the road.
![Physics_silicon-detectors.jpg](/sites/default/files/styles/list_page_thumbnail/public/Physics_silicon-detectors.jpg?h=c920d705&itok=Q1fP5ZTi)
Physicists turned to the “doubly magic” tin isotope Sn-132, colliding it with a target at Oak Ridge National Laboratory to assess its properties as it lost a neutron to become Sn-131.