Filter News
Area of Research
- (-) Supercomputing (10)
- Biology and Environment (18)
- Clean Energy (39)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Energy Sciences (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (18)
- Materials for Computing (1)
- Mathematics (1)
- National Security (3)
- Neutron Science (23)
- Nuclear Science and Technology (2)
- Quantum information Science (1)
News Topics
- (-) Critical Materials (3)
- (-) Energy Storage (1)
- (-) Environment (4)
- (-) High-Performance Computing (3)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Big Data (4)
- Biology (1)
- Biomedical (4)
- Chemical Sciences (1)
- Climate Change (2)
- Computer Science (16)
- Coronavirus (2)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Machine Learning (1)
- Materials (1)
- Materials Science (1)
- Nanotechnology (1)
- Nuclear Energy (1)
- Polymers (2)
- Quantum Computing (4)
- Quantum Science (3)
- Simulation (1)
- 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.
Critical Materials Institute researchers at Oak Ridge National Laboratory and Arizona State University studied the mineral monazite, an important source of rare-earth elements, to enhance methods of recovering critical materials for energy, defense and manufacturing applications.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
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 better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
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.
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.
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 and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
Scientists from the Critical Materials Institute used the Titan supercomputer and Eos computing cluster at ORNL to analyze designer molecules that could increase the yield of rare earth elements found in bastnaesite, an important mineral