Filter News
Area of Research
- (-) Biology and Environment (3)
- Advanced Manufacturing (4)
- Clean Energy (15)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (2)
- Fusion Energy (6)
- Materials (10)
- Materials for Computing (1)
- National Security (1)
- Neutron Science (1)
- Nuclear Science and Technology (1)
- Supercomputing (8)
Date
News Topics
- (-) Artificial Intelligence (1)
- (-) Composites (1)
- (-) Machine Learning (1)
- 3-D Printing/Advanced Manufacturing (2)
- Big Data (1)
- Bioenergy (10)
- Biology (14)
- Biomedical (2)
- Biotechnology (2)
- Clean Water (3)
- Climate Change (9)
- Computer Science (3)
- Coronavirus (1)
- Decarbonization (2)
- Environment (17)
- Grid (2)
- High-Performance Computing (3)
- Hydropower (3)
- Materials (1)
- Mercury (1)
- Simulation (1)
- Sustainable Energy (9)
- Transportation (1)
Media Contacts
![Researchers found that moderate levels of ash — sometimes found as spheres in biomass — do not significantly affect the mechanical properties of biocomposites made up of corn stover, switchgrass and PLA thermoplastic. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/sampleRecolor_v4_0.png?h=4d1c0665&itok=rRlgS-4C)
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
![ORNL researchers led by Michael Garvin, left, and David Kainer discovered genetic mutations called structural variants and linked them to autism spectrum disorders, demonstrating an approach that could be used to develop better diagnostics and drug therapies. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-11/Novstorytip_autism_0.png?h=707772c7&itok=6_DcjloQ)
ORNL researchers discovered genetic mutations that underlie autism using a new approach that could lead to better diagnostics and drug therapies.
![A new process developed by Oak Ridge National Laboratory leverages deep learning techniques to study cell movements in a simulated environment, guided by simple physics rules similar to video-game play. Credit: MSKCC and UTK](/sites/default/files/styles/list_page_thumbnail/public/2022-01/Observed%20data%20AI%20story%20tip.jpg?h=8e5dac0a&itok=wrAOsfIs)
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.