Filter News
Area of Research
- (-) Neutron Science (36)
- (-) Supercomputing (20)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (15)
- Clean Energy (24)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (19)
- Fusion Energy (4)
- Isotopes (6)
- Materials (29)
- Materials for Computing (2)
- National Security (15)
- Nuclear Science and Technology (18)
News Type
News Topics
- (-) Biomedical (10)
- (-) Grid (1)
- (-) Machine Learning (9)
- (-) Net Zero (1)
- (-) Neutron Science (36)
- (-) Nuclear Energy (3)
- (-) Polymers (1)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (22)
- Big Data (13)
- Bioenergy (5)
- Biology (6)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Clean Water (2)
- Climate Change (12)
- Computer Science (48)
- Coronavirus (7)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (3)
- Environment (16)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (13)
- High-Performance Computing (20)
- Materials (9)
- Materials Science (13)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Physics (4)
- Quantum Computing (10)
- Quantum Science (10)
- Security (2)
- Simulation (10)
- Software (1)
- Summit (21)
- Sustainable Energy (3)
- Transportation (5)
Media Contacts
Natural gas furnaces not only heat your home, they also produce a lot of pollution. Even modern high-efficiency condensing furnaces produce significant amounts of corrosive acidic condensation and unhealthy levels of nitrogen oxides
The truth is neutron scattering is not important, according to Steve Nagler. The knowledge gained from using it is what’s important
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.
Cement trucks entering and exiting the Spallation Neutron Source are a common sight as construction of the VENUS neutron imaging beamline progresses. Slated for completion and commissioning in 2024-2025, VENUS is the twentieth neutron instrument at SNS and will offer many new capabilities.
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.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
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.
From Denmark to Japan, the UK, France, and Sweden, physicist Ken Andersen has worked at neutron sources around the world. With significant contributions to neutron scattering and the scientific community, he’s now serving in his most important role yet.