Filter News
Area of Research
- (-) Materials for Computing (2)
- (-) National Security (4)
- (-) Sensors and Controls (1)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (25)
- Clean Energy (47)
- Climate and Environmental Systems (3)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (1)
- Fusion Energy (1)
- Isotopes (4)
- Materials (17)
- Mathematics (1)
- Neutron Science (6)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (7)
News Topics
- (-) Cybersecurity (1)
- (-) Energy Storage (1)
- (-) Environment (1)
- (-) Grid (3)
- (-) Microscopy (2)
- 3-D Printing/Advanced Manufacturing (2)
- Big Data (2)
- Biomedical (1)
- Chemical Sciences (1)
- Computer Science (3)
- Coronavirus (3)
- Materials (6)
- Materials Science (6)
- Nanotechnology (3)
- Neutron Science (1)
- Polymers (1)
- Quantum Science (1)
- Security (1)
- Summit (1)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
![The D2U model categorizes user data by capturing behavior in all open programs throughout a user’s day. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-09/User%20Emulation%20Graphic%20v1_0.jpg?h=8f74817f&itok=kZiQWuZI)
Oak Ridge National Laboratory researchers have created a technology that more realistically emulates user activities to improve cyber testbeds and ultimately prevent cyberattacks.
![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
![ORNL researchers are developing a method to print low-cost, high-fidelity, customizable sensors for monitoring power grid equipment. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-02/SAW%20sensors%202021-P01084_0.jpg?h=8f9cfe54&itok=H3Fe6A_G)
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
![An international research team used scanning tunneling microscopy at ORNL to send and receive single molecules across a surface on an atomically precise track. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/5.png?h=d1cb525d&itok=TtJEEiiq)
Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences contributed to a groundbreaking experiment published in Science that tracks the real-time transport of individual molecules.
![A new computational approach by ORNL can more quickly scan large-scale satellite images, such as these of Puerto Rico, for more accurate mapping of complex infrastructure like buildings. Credit: Maxar Technologies and Dalton Lunga/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Puerto_Rico_Resflow9.png?h=a0a1befd&itok=5n2fss_e)
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
![Smart Neighborhood homes](/sites/default/files/styles/list_page_thumbnail/public/2020-01/04.09.TD-SMartHome_0.jpg?h=5b5a5437&itok=22S5Tle1)
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
![As part of a preliminary study, ORNL scientists used critical location data collected from Twitter to map the location of certain power outages across the United States.](/sites/default/files/styles/list_page_thumbnail/public/2019-02/PowerOutageTweets_map_0.png?h=6448fdc1&itok=AUit-O2Y)
Gleaning valuable data from social platforms such as Twitter—particularly to map out critical location information during emergencies— has become more effective and efficient thanks to Oak Ridge National Laboratory.