![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
News Topics
- (-) Computer Science (58)
- (-) Energy Storage (29)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (10)
- Artificial Intelligence (38)
- Big Data (17)
- Bioenergy (31)
- Biology (29)
- Biomedical (12)
- Biotechnology (7)
- Buildings (14)
- Chemical Sciences (24)
- Clean Water (10)
- Climate Change (31)
- Composites (8)
- Coronavirus (4)
- Critical Materials (6)
- Cybersecurity (14)
- Decarbonization (30)
- Education (3)
- Emergency (1)
- Environment (62)
- Exascale Computing (17)
- Fossil Energy (2)
- Frontier (21)
- Fusion (14)
- Grid (21)
- High-Performance Computing (33)
- Hydropower (3)
- Irradiation (2)
- Isotopes (12)
- Machine Learning (20)
- Materials (59)
- Materials Science (36)
- Mathematics (2)
- Mercury (3)
- Microelectronics (2)
- Microscopy (12)
- Molten Salt (2)
- Nanotechnology (13)
- National Security (21)
- Net Zero (5)
- Neutron Science (50)
- Nuclear Energy (38)
- Partnerships (24)
- Physics (20)
- Polymers (6)
- Quantum Computing (12)
- Quantum Science (19)
- Renewable Energy (2)
- Security (5)
- Simulation (29)
- Software (1)
- Space Exploration (8)
- Summit (18)
- Sustainable Energy (25)
- Transportation (30)
Media Contacts
![Laminations such as these are compiled to form the core of modern electric vehicle motors. ORNL has developed a software toolkit to speed the development of new motor designs and to improve the accuracy of their real-world performance.](/sites/default/files/styles/list_page_thumbnail/public/2019-02/Motors_OeRSTED_0.jpg?h=af53702d&itok=mT24R4WI)
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
![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.
![Researchers analyzed the oxygen structure (highlighted in red) found in a perovskite’s crystal structure at room temperature, 500°C and 900°C using neutron scattering at ORNL’s Spallation Neutron Source. Analyzing how these structures impact solid oxide f Researchers analyzed the oxygen structure (highlighted in red) found in a perovskite’s crystal structure at room temperature, 500°C and 900°C using neutron scattering at ORNL’s Spallation Neutron Source. Analyzing how these structures impact solid oxide f](/sites/default/files/styles/list_page_thumbnail/public/Neutron-Fueling_better_power_image1.jpg?itok=tZtIORnX)
A University of South Carolina research team is investigating the oxygen reduction performance of energy conversion materials called perovskites by using neutron diffraction at Oak Ridge National Laboratory’s Spallation Neutron Source.
![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.