Filter News
Area of Research
- (-) Electricity and Smart Grid (2)
- (-) National Security (36)
- (-) Supercomputing (33)
- Biology and Environment (26)
- Clean Energy (75)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (7)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (15)
- Materials for Computing (6)
- Neutron Science (8)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Big Data (20)
- (-) Coronavirus (11)
- (-) Grid (8)
- (-) Machine Learning (14)
- (-) National Security (23)
- (-) Transportation (5)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (26)
- Bioenergy (4)
- Biology (9)
- Biomedical (11)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (17)
- Computer Science (66)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (4)
- Energy Storage (3)
- Environment (20)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- High-Performance Computing (25)
- Materials (6)
- Materials Science (10)
- Mathematics (1)
- Microelectronics (1)
- Microscopy (2)
- Nanotechnology (6)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (14)
- Security (7)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Summit (27)
- Sustainable Energy (5)
Media Contacts
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
Using novel data sets and computing systems, researchers at ORNL are simulating how climate change affects the safety and security of the country.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.