Filter News
Area of Research
- (-) Advanced Manufacturing (1)
- (-) National Security (5)
- (-) Neutron Science (17)
- (-) Supercomputing (21)
- Biological Systems (1)
- Biology and Environment (8)
- Clean Energy (29)
- Computer Science (2)
- Isotopes (1)
- Materials (35)
- Materials for Computing (2)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
News Topics
- (-) Bioenergy (7)
- (-) Biomedical (11)
- (-) Cybersecurity (5)
- (-) Grid (3)
- (-) Materials Science (13)
- 3-D Printing/Advanced Manufacturing (8)
- Artificial Intelligence (13)
- Big Data (8)
- Biology (1)
- Chemical Sciences (1)
- Clean Water (1)
- Climate Change (1)
- Computer Science (42)
- Coronavirus (9)
- Decarbonization (1)
- Energy Storage (3)
- Environment (7)
- Exascale Computing (4)
- Frontier (2)
- High-Performance Computing (2)
- Isotopes (1)
- Machine Learning (6)
- Materials (2)
- Mathematics (1)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (2)
- Neutron Science (32)
- Nuclear Energy (3)
- Physics (6)
- Polymers (1)
- Quantum Science (12)
- Security (5)
- Space Exploration (1)
- Summit (17)
- Sustainable Energy (5)
- Transformational Challenge Reactor (1)
- Transportation (2)
Media Contacts
![The image visualizes how the team’s multitask convolutional neural network classifies primary cancer sites. Image credit: Hong-Jun Yoon/ORNL](/sites/default/files/styles/list_page_thumbnail/public/2020-02/shot_0.png?h=49ab6177&itok=IXL5Ingy)
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
![Closely spaced hydrogen atoms could facilitate superconductivity in ambient conditions](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Closely_spaced_hydrogen_atoms-correct.png?h=6a4c2577&itok=GBnxpWls)
An international team of researchers has discovered the hydrogen atoms in a metal hydride material are much more tightly spaced than had been predicted for decades — a feature that could possibly facilitate superconductivity at or near room temperature and pressure.
![ORNL-developed cryogenic memory cell circuit designs fabricated onto these small chips by SeeQC, a superconducting technology company, successfully demonstrated read, write and reset memory functions. Credit: Carlos Jones/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-01/2019-P17636.png?h=39b94f55&itok=udTwXJwT)
Scientists at have experimentally demonstrated a novel cryogenic, or low temperature, memory cell circuit design based on coupled arrays of Josephson junctions, a technology that may be faster and more energy efficient than existing memory devices.
![Illustration of the optimized zeolite catalyst, or NbAlS-1, which enables a highly efficient chemical reaction to create butene, a renewable source of energy, without expending high amounts of energy for the conversion. Credit: Jill Hemman, Oak Ridge National Laboratory/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2019-12/19-G01458_Cheng_PR.png?h=14829302&itok=U1YwTrlo)
Illustration of the optimized zeolite catalyst, or NbAlS-1, which enables a highly efficient chemical reaction to create butene, a renewable source of energy, without expending high amounts of energy for the conversion. Credit: Jill Hemman, Oak Ridge National Laboratory/U.S. Dept. of Energy
![St John's CyberForce team](/sites/default/files/styles/list_page_thumbnail/public/2019-11/Cyberforce-CroppedStJohnsDec2018_0.jpg?h=d23b96dd&itok=lSiev61W)
Oak Ridge National Laboratory will give college students the chance to practice cybersecurity skills in a real-world setting as a host of the Department of Energy’s fifth collegiate CyberForce Competition on Nov. 16. The event brings together student teams from across the country to compete at 10 of DOE’s national laboratories.
![SNS researchers](/sites/default/files/styles/list_page_thumbnail/public/2019-11/2019-P15103_1.jpg?h=c6980913&itok=OoO429Iv)
Scientists at the U.S. Department of Energy’s Brookhaven National Laboratory have new experimental evidence and a predictive theory that solves a long-standing materials science mystery: why certain crystalline materials shrink when heated.
![CellSight allows for rapid mass spectrometry of individual cells. Credit: John Cahill, Oak Ridge National Laboratory/U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2019-10/4CellSightPhoto_0.png?h=67debf3e&itok=fmsxiN_b)
Researchers at the Department of Energy’s Oak Ridge National Laboratory have received five 2019 R&D 100 Awards, increasing the lab’s total to 221 since the award’s inception in 1963.
A team of scientists led by Oak Ridge National Laboratory have discovered the specific gene that controls an important symbiotic relationship between plants and soil fungi, and successfully facilitated the symbiosis in a plant that
![Pictured in this early conceptual drawing, the Translational Research Capability planned for Oak Ridge National Laboratory will follow the design of research facilities constructed during the laboratory’s modernization campaign.](/sites/default/files/styles/list_page_thumbnail/public/2019-05/TRCimage.jpg?h=2ee3f751&itok=9rywjcFh)
OAK RIDGE, Tenn., May 7, 2019—Energy Secretary Rick Perry, Congressman Chuck Fleischmann and lab officials today broke ground on a multipurpose research facility that will provide state-of-the-art laboratory space
![Molecular dynamics simulations of the Fs-peptide revealed the presence of at least eight distinct intermediate stages during the process of protein folding. The image depicts a fully folded helix (1), various transitional forms (2–8), and one misfolded state (9). By studying these protein folding pathways, scientists hope to identify underlying factors that affect human health.](/sites/default/files/styles/list_page_thumbnail/public/2019-03/Slide1_0.png?h=c855054e&itok=aNbgxXsc)
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.