Filter News
Area of Research
- (-) National Security (7)
- (-) Supercomputing (34)
- Biology and Environment (37)
- Clean Energy (109)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (2)
- Energy Sciences (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (2)
- Materials (34)
- Materials for Computing (4)
- Mathematics (1)
- Neutron Science (11)
- Transportation Systems (2)
News Type
News Topics
- (-) Climate Change (8)
- (-) Energy Storage (7)
- (-) Summit (20)
- (-) Transportation (5)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (2)
- Artificial Intelligence (20)
- Big Data (7)
- Bioenergy (7)
- Biology (6)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Computer Science (57)
- Coronavirus (8)
- Critical Materials (3)
- Cybersecurity (18)
- Decarbonization (1)
- Environment (10)
- Exascale Computing (9)
- Frontier (14)
- Fusion (2)
- Grid (7)
- High-Performance Computing (17)
- Isotopes (1)
- Machine Learning (11)
- Materials (10)
- Materials Science (7)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (21)
- Neutron Science (8)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (5)
- Polymers (2)
- Quantum Computing (9)
- Quantum Science (14)
- Security (10)
- Simulation (3)
- Space Exploration (2)
- Sustainable Energy (8)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
As current courses through a battery, its materials erode over time. Mechanical influences such as stress and strain affect this trajectory, although their impacts on battery efficacy and longevity are not fully understood.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
When Matt McCarthy saw an opportunity for a young career scientist to influence public policy, he eagerly raised his hand.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.