Filter News
Area of Research
- (-) Nuclear Science and Technology (12)
- (-) Supercomputing (42)
- Advanced Manufacturing (22)
- Biological Systems (1)
- Biology and Environment (33)
- Building Technologies (1)
- Clean Energy (168)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotopes (27)
- Materials (97)
- Materials for Computing (8)
- National Security (27)
- Neutron Science (33)
- Quantum information Science (2)
- Sensors and Controls (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (8)
- (-) Biomedical (19)
- (-) Cybersecurity (9)
- (-) Energy Storage (8)
- (-) Grid (5)
- (-) Isotopes (7)
- (-) Physics (10)
- Advanced Reactors (12)
- Artificial Intelligence (36)
- Big Data (20)
- Bioenergy (9)
- Biology (11)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (96)
- Coronavirus (14)
- Critical Materials (3)
- Decarbonization (5)
- Environment (22)
- Exascale Computing (24)
- Frontier (29)
- Fusion (9)
- High-Performance Computing (40)
- Machine Learning (14)
- Materials (15)
- Materials Science (19)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (5)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (17)
- Nuclear Energy (39)
- Partnerships (1)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (15)
- Software (1)
- Space Exploration (8)
- Summit (43)
- Sustainable Energy (10)
- Transformational Challenge Reactor (3)
- Transportation (6)
Media Contacts
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.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
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.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.