Filter News
Area of Research
- (-) Supercomputing (9)
- Advanced Manufacturing (1)
- Biology and Environment (41)
- Clean Energy (33)
- Climate and Environmental Systems (3)
- Computational Engineering (1)
- Computer Science (1)
- Fusion and Fission (6)
- Fusion Energy (7)
- Isotopes (11)
- Materials (27)
- Materials for Computing (2)
- Mathematics (1)
- National Security (7)
- Neutron Science (28)
- Nuclear Science and Technology (15)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Environment (6)
- (-) Nuclear Energy (1)
- (-) Polymers (2)
- Artificial Intelligence (1)
- Big Data (5)
- Biology (1)
- Biomedical (4)
- Chemical Sciences (1)
- Climate Change (4)
- Computer Science (19)
- Coronavirus (2)
- Critical Materials (3)
- Energy Storage (1)
- Exascale Computing (2)
- Frontier (2)
- Fusion (1)
- High-Performance Computing (6)
- Machine Learning (1)
- Materials (2)
- Materials Science (1)
- Nanotechnology (1)
- Quantum Computing (4)
- Quantum Science (3)
- Simulation (2)
- Space Exploration (1)
- Summit (6)
- Sustainable Energy (1)
- Transportation (1)
Media Contacts
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
In a step toward advancing small modular nuclear reactor designs, scientists at Oak Ridge National Laboratory have run reactor simulations on ORNL supercomputer Summit with greater-than-expected computational efficiency.
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing.
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...