Filter News
Area of Research
- Biology and Environment (4)
- Building Technologies (1)
- Clean Energy (6)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (2)
- Materials (7)
- Materials for Computing (6)
- Mathematics (1)
- National Security (2)
- Neutron Science (5)
- Quantum information Science (2)
- Supercomputing (15)
News Topics
- (-) Computer Science (30)
- (-) Nanotechnology (10)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (2)
- Artificial Intelligence (7)
- Big Data (5)
- Bioenergy (13)
- Biology (23)
- Biomedical (10)
- Biotechnology (5)
- Buildings (13)
- Chemical Sciences (7)
- Clean Water (8)
- Climate Change (11)
- Composites (6)
- Coronavirus (10)
- Critical Materials (4)
- Cybersecurity (5)
- Decarbonization (7)
- Energy Storage (22)
- Environment (39)
- Exascale Computing (2)
- Frontier (4)
- Fusion (8)
- Grid (11)
- High-Performance Computing (19)
- Isotopes (12)
- ITER (4)
- Machine Learning (1)
- Materials (32)
- Materials Science (22)
- Mathematics (1)
- Mercury (3)
- Microscopy (10)
- National Security (7)
- Net Zero (1)
- Neutron Science (18)
- Nuclear Energy (6)
- Physics (3)
- Polymers (5)
- Quantum Computing (5)
- Quantum Science (12)
- Security (3)
- Space Exploration (4)
- Statistics (1)
- Summit (9)
- Sustainable Energy (35)
- Transportation (21)
Media Contacts
![ORNL researchers produced self-healable and highly adhesive elastomers, proving they self-repair in ambient conditions and underwater. This project garnered a 2021 R&D 100 Award. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-10/Unbreakable-bond-copy.jpg?h=cd715a88&itok=cQeEYNZn)
Research teams from the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2021 R&D 100 Awards, plus special recognition for a COVID-19-related project.
![Larry Baylor, left, and Andrew Lupini have been elected fellows of the American Physical Society. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-10/APSfellows.jpg?h=e91a75a9&itok=rDVqiCkQ)
ORNL's Larry Baylor and Andrew Lupini have been elected fellows of the American Physical Society.
![Compression (red arrows) alters crystal symmetry (green arrows), which changes band dispersion (left and right), leading to highly mobile electrons. Credit: Jaimee Janiga, Andrew Sproles, Satoshi Okamoto/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-09/2021-G01361_NewsReleaseGraphic1_091321.jpg?h=d1cb525d&itok=P863Du6G)
A team led by the ORNL has found a rare quantum material in which electrons move in coordinated ways, essentially “dancing.”
![A traffic-camera view of Shallowford Road, one of the more than 350 intersections in Chattanooga studied by Oak Ridge National Laboratory researchers.](/sites/default/files/styles/list_page_thumbnail/public/2021-09/ChattMobilityMain.png?h=29234840&itok=a5Mj37qW)
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
![ORNL’s particle entanglement machine is a precursor to the device that researchers at the University of Oklahoma are building, which will produce entangled quantum particles for quantum sensing to detect underground pipeline leaks. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/IMG_20170706_154618586AK_0.jpg?h=61873cd7&itok=0OWbsNbu)
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
![Researchers built optical tools called zero-mode waveguides, illustrated here, used to observe proteins that are implicated in human heart function. Credit: David S. White/University of Wisconsin-Madison](/sites/default/files/styles/list_page_thumbnail/public/2021-07/Zero-mode%20waveguides%20-%20story%20tip_1.jpg?h=71558423&itok=OODOCLHO)
Researchers working with Oak Ridge National Laboratory developed a new method to observe how proteins, at the single-molecule level, bind with other molecules and more accurately pinpoint certain molecular behavior in complex
![From top to bottom respectively, alloys were made without nanoprecipitates or with coarse or fine nanoprecipitates to assess effects of their sizes and spacings on mechanical behavior. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/beat1.jpg?h=97c79c76&itok=_hh-NOFW)
Scientists at ORNL and the University of Tennessee, Knoxville, have found a way to simultaneously increase the strength and ductility of an alloy by introducing tiny precipitates into its matrix and tuning their size and spacing.
![The REVISE-II modeling tool developed at ORNL supports decision-making for electric vehicle charging infrastructure development along interstate highways in support of intercity travel. Credit: Jason Richards/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/2011-P01916_0.jpg?h=7625acff&itok=oKCqeJ5P)
Researchers at Oak Ridge National Laboratory have developed a nationwide modeling tool to help infrastructure planners decide where and when to locate electric vehicle charging stations along interstate highways. The goal is to encourage the adoption of EVs for cross-country travel.
![An algorithm developed and field-tested by ORNL researchers uses machine learning to maintain homeowners’ preferred temperatures year-round while minimizing energy costs. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-07/2019-P07408_2.jpg?h=8f9cfe54&itok=jBvKdqIv)
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
![An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-06/frame1.png?h=d1cb525d&itok=51pwBWyP)
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.