Filter News
Area of Research
- (-) Clean Energy (62)
- (-) National Security (14)
- Advanced Manufacturing (3)
- Biology and Environment (75)
- Biology and Soft Matter (1)
- Climate and Environmental Systems (1)
- Computer Science (1)
- Fusion and Fission (7)
- Fusion Energy (1)
- Materials (25)
- Materials for Computing (4)
- Neutron Science (12)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Supercomputing (49)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (23)
- (-) Energy Storage (20)
- (-) Environment (21)
- (-) Machine Learning (8)
- (-) Mercury (1)
- (-) Microscopy (2)
- (-) Summit (3)
- (-) Sustainable Energy (14)
- Advanced Reactors (2)
- Artificial Intelligence (8)
- Big Data (4)
- Bioenergy (11)
- Biology (6)
- Biomedical (3)
- Biotechnology (2)
- Buildings (11)
- Chemical Sciences (3)
- Clean Water (3)
- Climate Change (11)
- Composites (2)
- Computer Science (15)
- Coronavirus (6)
- Cybersecurity (13)
- Decarbonization (16)
- Fossil Energy (1)
- Grid (16)
- High-Performance Computing (5)
- Materials (6)
- Materials Science (6)
- Mathematics (1)
- Microelectronics (1)
- Nanotechnology (3)
- National Security (24)
- Net Zero (1)
- Neutron Science (4)
- Nuclear Energy (4)
- Partnerships (5)
- Polymers (1)
- Quantum Science (2)
- Security (8)
- Simulation (1)
- Space Exploration (1)
- Transportation (17)
Media Contacts
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.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
What’s getting Jim Szybist fired up these days? It’s the opportunity to apply his years of alternative fuel combustion and thermodynamics research to the challenge of cleaning up the hard-to-decarbonize, heavy-duty mobility sector — from airplanes to locomotives to ships and massive farm combines.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
When Andrew Sutton arrived at ORNL in late 2020, he knew the move would be significant in more ways than just a change in location.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
David McCollum is using his interdisciplinary expertise, international networks and boundless enthusiasm to lead Oak Ridge National Laboratory’s contributions to the Net Zero World initiative.
Bruce Warmack has been fascinated by science since his mother finally let him have a chemistry set at the age of nine. He’d been pestering her for one since he was six.