![Weyl semimetal](/sites/default/files/styles/featured_square_large/public/2024-08/Picture4.jpg?h=b38bf506&itok=nYXXiLDs)
Filter News
Area of Research
- (-) Materials (40)
- (-) Quantum information Science (4)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (71)
- Biology and Soft Matter (1)
- Clean Energy (34)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (17)
- Materials for Computing (5)
- National Security (12)
- Neutron Science (14)
- Nuclear Science and Technology (17)
- Supercomputing (44)
News Type
News Topics
- (-) Biomedical (2)
- (-) Environment (6)
- (-) Isotopes (6)
- (-) Materials Science (22)
- (-) Nuclear Energy (10)
- (-) Polymers (5)
- (-) Quantum Science (4)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Artificial Intelligence (4)
- Big Data (2)
- Bioenergy (3)
- Buildings (1)
- Chemical Sciences (8)
- Clean Water (2)
- Composites (2)
- Computer Science (9)
- Coronavirus (1)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (7)
- Exascale Computing (1)
- Fusion (3)
- Grid (2)
- High-Performance Computing (1)
- Machine Learning (2)
- Materials (20)
- Mathematics (1)
- Microscopy (10)
- Nanotechnology (11)
- Neutron Science (10)
- Partnerships (3)
- Physics (13)
- Quantum Computing (1)
- Security (1)
- Space Exploration (1)
- Summit (1)
- Sustainable Energy (3)
- Transformational Challenge Reactor (2)
- Transportation (4)
Media Contacts
![Oak Ridge National Laboratory researchers used an invertible neural network, a type of artificial intelligence that mimics the human brain, to select the most suitable materials for desired properties, such as flexibility or heat resistance, with high chemical accuracy. The study could lead to more customizable materials design for industry.](/sites/default/files/styles/list_page_thumbnail/public/2022-04/CCSD_NeuralNetworkBanner.png?h=b16f811b&itok=fxqDEvs_)
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
![Using quantum Monte Carlo methods, the researchers simulated bulk VO2. Yellow and turquoise represent changes in electron density between the excited and ground states of a compound composed of oxygen, in red, and vanadium, in blue, which allowed them to evaluate how an oxygen vacancy, in white, can alter the compound’s properties. Credit: Panchapakesan Ganesh/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/image001_0.png?h=11d99c73&itok=sdREw4na)
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
![ORNL scientist Adrian Sabau describes components of a laser-interference structuring system that was used to treat aluminum alloy sheets for corrosion protection. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-09/2021-P06287_0.jpg?h=8f9cfe54&itok=rJX5cIcZ)
A multidisciplinary team of scientists at ORNL has applied a laser-interference structuring, or LIS, technique that makes significant strides toward eliminating the need for hazardous chemicals in corrosion protection for vehicles.
![Nicholas Peters and Raphael Pooser](/sites/default/files/styles/list_page_thumbnail/public/2021-09/2021-P07657_2.jpg?h=00f06886&itok=p2qp4F74)
Of the $61 million recently announced by the U.S. Department of Energy for quantum information science studies, $17.5 million will fund research at DOE’s Oak Ridge National Laboratory. These projects will help build the foundation for the quantum internet, advance quantum entanglement capabilities — which involve sharing information through paired particles of light called photons — and develop next-generation quantum sensors.
![ORNL’s Sergei Kalinin and Rama Vasudevan (foreground) use scanning probe microscopy to study bulk ferroelectricity and surface electrochemistry -- and generate a lot of data. Credit: Jason Richards/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-05/KalininVasudevan_2017-P03014_0.jpg?h=1116cd87&itok=KEEOB4hi)
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
![Each point on the sphere of this visual representation of arbitrary frequency-bin qubit states corresponds to a unique quantum state, and the gray sections represent the measurement results. The zoomed-in view illustrates examples of three quantum states plotted next to their ideal targets (blue dots). Credit: Joseph Lukens/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-03/Fig3A-03_0.jpg?h=bf1220d2&itok=ZRCJjdRH)
A team of researchers at Oak Ridge National Laboratory and Purdue University has taken an important step toward this goal by harnessing the frequency, or color, of light. Such capabilities could contribute to more practical and large-scale quantum networks exponentially more powerful and secure than the classical networks we have today.
![The Perseverance rover](/sites/default/files/styles/list_page_thumbnail/public/2020-07/pia23492_0.jpg?h=d1cb525d&itok=A5U6cgBE)
On Feb. 18, the world will be watching as NASA’s Perseverance rover makes its final descent into Jezero Crater on the surface of Mars. Mars 2020 is the first NASA mission that uses plutonium-238 produced at the Department of Energy’s Oak Ridge National Laboratory.
![Xunxiang Hu, a Eugene P. Wigner Fellow in ORNL’s Materials Science and Technology Division, designed this machine to produce large, crack-free pieces of yttrium hydride to be used as a moderator in the core of ORNL’s Transformational Challenge Reactor and other microreactors. Credit: Xunxiang Hu/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-09/HuYHxphoto.jpg?h=eef83f16&itok=7KfkqQLh)
About 60 years ago, scientists discovered that a certain rare earth metal-hydrogen mixture, yttrium, could be the ideal moderator to go inside small, gas-cooled nuclear reactors.
![Light moves through a fiber and stimulates the metal electrons in nanotip into collective oscillations called surface plasmons, assisting electrons to leave the tip. This simple electron nano-gun can be made more versatile via different forms of material composition and structuring. Credit: Ali Passian/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-09/Photons%20%281%29_0.png?h=9575d294&itok=NLfgaoT2)
Scientists at ORNL and the University of Nebraska have developed an easier way to generate electrons for nanoscale imaging and sensing, providing a useful new tool for material science, bioimaging and fundamental quantum research.
![Paul Abraham uses mass spectrometry to study proteins.](/sites/default/files/styles/list_page_thumbnail/public/2020-09/2019-P16536.jpg?h=8f9cfe54&itok=QMxGFQhK)
Systems biologist Paul Abraham uses his fascination with proteins, the molecular machines of nature, to explore new ways to engineer more productive ecosystems and hardier bioenergy crops.