![Sphere that has the top right fourth removed (exposed) Colors from left are orange, dark blue with orange dots, light blue with horizontal lines, then black. Inside the exposure is green and black with boxes.](/sites/default/files/styles/featured_square_large/public/2024-06/slicer.jpg?h=56311bf6&itok=bCZz09pJ)
Filter News
Area of Research
- (-) Materials (22)
- (-) Supercomputing (28)
- Advanced Manufacturing (4)
- Clean Energy (13)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (8)
- Fusion Energy (5)
- National Security (3)
- Neutron Science (5)
- Nuclear Science and Technology (1)
- Quantum information Science (3)
- Transportation Systems (1)
News Topics
- (-) Computer Science (26)
- (-) Fusion (2)
- (-) Grid (1)
- (-) Materials Science (19)
- (-) Quantum Science (5)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (2)
- Artificial Intelligence (6)
- Big Data (5)
- Bioenergy (3)
- Biomedical (2)
- Clean Water (2)
- Composites (1)
- Cybersecurity (3)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (2)
- Frontier (2)
- Isotopes (1)
- Microscopy (6)
- Molten Salt (1)
- Nanotechnology (6)
- Neutron Science (5)
- Nuclear Energy (8)
- Physics (3)
- Polymers (2)
- Security (1)
- Space Exploration (2)
- Summit (9)
- Sustainable Energy (6)
- Transportation (6)
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.
![Jon Poplawsky of Oak Ridge National Laboratory combines atom probe tomography (revealed by this LEAP 4000XHR instrument) with electron microscopy to characterize the compositions, structures, and functions of materials for energy and information technolog Jon Poplawsky of Oak Ridge National Laboratory combines atom probe tomography (revealed by this LEAP 4000XHR instrument) with electron microscopy to characterize the compositions, structures, and functions of materials for energy and information technolog](/sites/default/files/styles/list_page_thumbnail/public/2018-P09428_0.jpg?itok=rCMBpuR3)
Jon Poplawsky, a materials scientist at the Department of Energy’s Oak Ridge National Laboratory, develops and links advanced characterization techniques that improve our ability to see and understand atomic-scale features of diverse materials
![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.
![Joseph Lukens, Raphael Pooser, and Nick Peters (from left) of ORNL’s Quantum Information Science Group developed and tested a new interferometer made from highly nonlinear fiber in pursuit of improved sensitivity at the quantum scale. Credit: Carlos Jones](/sites/default/files/styles/list_page_thumbnail/public/news/images/2018-P09674%5B4%5D.jpg?h=1d98ccbd&itok=ztuyXqpm)
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![ORNL-Lenvio_tech_license_signing_ceremony2 ORNL-Lenvio_tech_license_signing_ceremony2](/sites/default/files/styles/list_page_thumbnail/public/ORNL-Lenvio_tech_license_signing_ceremony2.jpg?itok=xcfN-PbJ)
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.
![ORNL’s Xiahan Sang unambiguously resolved the atomic structure of MXene, a 2D material promising for energy storage, catalysis and electronic conductivity. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Carlos Jones ORNL’s Xiahan Sang unambiguously resolved the atomic structure of MXene, a 2D material promising for energy storage, catalysis and electronic conductivity. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Carlos Jones](/sites/default/files/styles/list_page_thumbnail/public/Sang_2016-P07680_0.jpg?itok=w0e5eR_U)
Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...