Filter News
Area of Research
- (-) Neutron Science (3)
- (-) Nuclear Science and Technology (17)
- (-) Supercomputing (23)
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Clean Energy (32)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion and Fission (18)
- Fusion Energy (13)
- Materials (10)
- National Security (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) Advanced Reactors (9)
- (-) Frontier (14)
- (-) Fusion (8)
- (-) Grid (1)
- (-) Machine Learning (10)
- (-) Molten Salt (4)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (24)
- Big Data (17)
- Bioenergy (6)
- Biology (7)
- Biomedical (17)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (3)
- Clean Water (2)
- Climate Change (14)
- Computer Science (63)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (4)
- Energy Storage (6)
- Environment (21)
- Exascale Computing (13)
- Fossil Energy (1)
- High-Performance Computing (23)
- Isotopes (3)
- Materials (13)
- Materials Science (19)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (8)
- National Security (3)
- Net Zero (1)
- Neutron Science (59)
- Nuclear Energy (30)
- Physics (6)
- Polymers (3)
- Quantum Computing (14)
- Quantum Science (14)
- Security (2)
- Simulation (11)
- Software (1)
- Space Exploration (7)
- Summit (27)
- Sustainable Energy (4)
- Transformational Challenge Reactor (2)
- Transportation (6)
Media Contacts
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
At the National Center for Computational Sciences, Ashley Barker enjoys one of the least complicated–sounding job titles at ORNL: section head of operations. But within that seemingly ordinary designation lurks a multitude of demanding roles as she oversees the complete user experience for NCCS computer systems.
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.
ORNL’s next major computing achievement could open a new universe of scientific possibilities accelerated by the primal forces at the heart of matter and energy.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
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 rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
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 developing method to gauge the occurrence of a nuclear reactor anomaly has the potential to save millions of dollars.
The inside of future nuclear fusion energy reactors will be among the harshest environments ever produced on Earth. What’s strong enough to protect the inside of a fusion reactor from plasma-produced heat fluxes akin to space shuttles reentering Earth’s atmosphere?