Filter News
Area of Research
- (-) Neutron Science (9)
- (-) Nuclear Systems Modeling, Simulation and Validation (1)
- (-) Supercomputing (15)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (12)
- Clean Energy (5)
- Computational Biology (2)
- Fusion and Fission (5)
- Fusion Energy (6)
- Isotopes (4)
- Materials (22)
- Materials for Computing (1)
- National Security (1)
- Nuclear Science and Technology (13)
- Quantum information Science (1)
News Topics
- (-) Advanced Reactors (2)
- (-) Biomedical (16)
- (-) Physics (5)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (24)
- Big Data (17)
- Bioenergy (6)
- Biology (7)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (3)
- Clean Water (2)
- Climate Change (14)
- Computer Science (64)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (6)
- Environment (21)
- Exascale Computing (13)
- Fossil Energy (1)
- Frontier (14)
- Fusion (1)
- Grid (1)
- High-Performance Computing (23)
- Machine Learning (10)
- Materials (13)
- Materials Science (17)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (8)
- National Security (3)
- Net Zero (1)
- Neutron Science (59)
- Nuclear Energy (6)
- Polymers (3)
- Quantum Computing (14)
- Quantum Science (14)
- Security (2)
- Simulation (11)
- Software (1)
- Space Exploration (4)
- Summit (27)
- Sustainable Energy (4)
- Transportation (7)
Media Contacts
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
A trio of new and improved cosmological simulation codes was unveiled in a series of presentations at the annual April Meeting of the American Physical Society in Minneapolis.
Few things carry the same aura of mystery as dark matter. The name itself radiates secrecy, suggesting something hidden in the shadows of the Universe.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
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.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.