Filter News
Area of Research
- (-) Supercomputing (45)
- Advanced Manufacturing (1)
- Biology and Environment (16)
- Clean Energy (57)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Fusion and Fission (3)
- Isotopes (3)
- Materials (37)
- Materials for Computing (10)
- National Security (13)
- Neutron Science (13)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Artificial Intelligence (22)
- (-) Big Data (18)
- (-) Nanotechnology (6)
- (-) Polymers (2)
- (-) Security (1)
- (-) Space Exploration (2)
- (-) Transportation (4)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Bioenergy (3)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (15)
- Frontier (15)
- Fusion (1)
- Grid (1)
- High-Performance Computing (25)
- Isotopes (1)
- Machine Learning (8)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (3)
- Physics (4)
- Quantum Computing (14)
- Quantum Science (13)
- Simulation (12)
- Software (1)
- Summit (28)
- Sustainable Energy (4)
Media Contacts
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
A team of researchers from ORNL was recognized by the National Cancer Institute in March for their unique contributions in the fight against cancer.
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.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.