Filter News
Area of Research
Date
News Topics
- (-) Chemical Sciences (4)
- 3-D Printing/Advanced Manufacturing (4)
- Bioenergy (1)
- Biology (1)
- Biomedical (2)
- Climate Change (1)
- Composites (1)
- Computer Science (7)
- Coronavirus (3)
- Decarbonization (1)
- Energy Storage (4)
- Environment (1)
- Isotopes (1)
- Materials (11)
- Materials Science (16)
- Microscopy (4)
- Nanotechnology (7)
- National Security (1)
- Neutron Science (5)
- Polymers (6)
- Quantum Computing (1)
- Quantum Science (3)
- Security (1)
- Simulation (1)
- Space Exploration (1)
- Summit (1)
- Sustainable Energy (5)
- Transportation (5)
Media Contacts
![ORNL analytical chemists coupled a microextraction probe to a mass spectrometer for measurement of uranium isotope ratios from environmental swipes. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-10/2021-P07989.jpg?h=4a7d1ed4&itok=A-B9M7Jb)
Analytical chemists at ORNL have developed a rapid way to measure isotopic ratios of uranium and plutonium collected on environmental swipes, which could help International Atomic Energy Agency analysts detect the presence of undeclared nuclear
![Pengfei Cao](/sites/default/files/styles/list_page_thumbnail/public/2021-09/2021-P06488.jpg?h=8f9cfe54&itok=tWUEBi3Z)
Pengfei Cao, a polymer chemist at ORNL, has been chosen to receive a 2021 Young Investigator Award from the Polymeric Materials: Science and Engineering Division of the American Chemical Society, or ACS PMSE.
![An ORNL research team is investigating new catalysts for ethanol conversion that could advance the cost-effective production of renewable transportation. Credit: Unsplash](/sites/default/files/styles/list_page_thumbnail/public/2021-07/catalyst_story_tip_0.jpg?h=78aab1d8&itok=0ieRdqRo)
Oak Ridge National Laboratory researchers have developed a new catalyst for converting ethanol into C3+ olefins – the chemical
![Researchers at ORNL and the University of Tennessee developed an automated workflow that combines chemical robotics and machine learning to speed the search for stable perovskites. Credit: Jaimee Janiga/ORNL, U.S. Dept of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-03/AutomatedWorkflow_PressRelease_022621-07_0.jpg?h=d6adbc87&itok=nfL25uee)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and the University of Tennessee are automating the search for new materials to advance solar energy technologies.