Filter News
Area of Research
- (-) Materials for Computing (5)
- (-) Neutron Science (21)
- Advanced Manufacturing (3)
- Biology and Environment (65)
- Biology and Soft Matter (1)
- Clean Energy (55)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (45)
- Fusion Energy (18)
- Isotope Development and Production (1)
- Isotopes (5)
- Materials (40)
- Mathematics (1)
- National Security (29)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Sensors and Controls (1)
- Supercomputing (92)
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (6)
- (-) Climate Change (2)
- (-) Coronavirus (11)
- (-) Frontier (1)
- (-) Fusion (1)
- (-) Nuclear Energy (3)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (10)
- Big Data (2)
- Bioenergy (7)
- Biology (7)
- Biomedical (14)
- Biotechnology (1)
- Chemical Sciences (7)
- Clean Water (2)
- Composites (2)
- Computer Science (18)
- Cybersecurity (1)
- Decarbonization (3)
- Energy Storage (10)
- Environment (9)
- Fossil Energy (1)
- High-Performance Computing (2)
- Isotopes (1)
- Machine Learning (3)
- Materials (24)
- Materials Science (35)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (17)
- National Security (3)
- Neutron Science (103)
- Physics (9)
- Polymers (7)
- Quantum Computing (1)
- Quantum Science (9)
- Simulation (1)
- Space Exploration (3)
- Summit (6)
- Sustainable Energy (7)
- Transportation (9)
Media Contacts
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory designed a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and other viral diseases.
Paul Langan will join ORNL in the spring as associate laboratory director for the Biological and Environmental Systems Science Directorate.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
Oak Ridge National Laboratory researchers collaborated with Iowa State University and RJ Lee Group to demonstrate a safe and effective antiviral coating for N95 masks. The coating destroys the COVID-19-causing coronavirus and could enable reuse of masks made from various fabrics.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
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.