Filter News
Area of Research
- (-) Materials (16)
- (-) Supercomputing (49)
- Biology and Environment (20)
- Clean Energy (71)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion and Fission (3)
- Fusion Energy (1)
- Materials for Computing (3)
- National Security (14)
- Neutron Science (8)
- Quantum information Science (1)
- Sensors and Controls (1)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (22)
- (-) Grid (3)
- (-) Summit (27)
- (-) Transportation (14)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (3)
- Big Data (17)
- Bioenergy (6)
- Biology (7)
- Biomedical (14)
- Biotechnology (1)
- Buildings (4)
- Chemical Sciences (11)
- Clean Water (3)
- Climate Change (14)
- Composites (6)
- Computer Science (63)
- Coronavirus (10)
- Critical Materials (7)
- Cybersecurity (2)
- Decarbonization (5)
- Energy Storage (15)
- Environment (23)
- Exascale Computing (13)
- Frontier (14)
- Fusion (5)
- High-Performance Computing (23)
- Isotopes (8)
- Machine Learning (8)
- Materials (33)
- Materials Science (39)
- Mathematics (1)
- Microscopy (13)
- Molten Salt (1)
- Nanotechnology (17)
- National Security (3)
- Net Zero (1)
- Neutron Science (18)
- Nuclear Energy (15)
- Partnerships (3)
- Physics (15)
- Polymers (11)
- Quantum Computing (15)
- Quantum Science (14)
- Security (2)
- Simulation (11)
- Software (1)
- Space Exploration (4)
- Sustainable Energy (9)
- Transformational Challenge Reactor (2)
Media Contacts
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
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.
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.
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.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
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.