Filter News
Area of Research
News Topics
- (-) Biomedical (2)
- (-) Coronavirus (2)
- (-) Environment (2)
- (-) Microscopy (2)
- (-) Nanotechnology (3)
- (-) Security (2)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (3)
- Big Data (2)
- Bioenergy (3)
- Biology (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (4)
- Composites (2)
- Computer Science (6)
- Critical Materials (2)
- Cybersecurity (2)
- Decarbonization (2)
- Energy Storage (1)
- Grid (2)
- High-Performance Computing (2)
- Isotopes (2)
- Machine Learning (3)
- Materials (12)
- Materials Science (3)
- National Security (7)
- Neutron Science (2)
- Physics (1)
- Polymers (1)
- Quantum Science (1)
- Simulation (1)
- Summit (1)
Media Contacts
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
Researchers at ORNL explored radium’s chemistry to advance cancer treatments using ionizing radiation.
Researchers from ORNL, the University of Tennessee at Chattanooga and Tuskegee University used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate.
Larry Allard, a distinguished research staff member at Oak Ridge National Laboratory, has been named a Fellow of the Microanalysis Society.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.