Filter News
Area of Research
- (-) Climate and Environmental Systems (1)
- (-) Supercomputing (4)
- Advanced Manufacturing (1)
- Biology and Environment (14)
- Clean Energy (25)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Energy Sciences (1)
- Fusion and Fission (1)
- Fusion Energy (5)
- Isotopes (1)
- Materials (10)
- National Security (2)
- Neutron Science (4)
- Nuclear Science and Technology (10)
- Nuclear Systems Modeling, Simulation and Validation (1)
News Topics
- (-) Artificial Intelligence (1)
- (-) Biology (2)
- (-) Energy Storage (1)
- (-) Nuclear Energy (1)
- Advanced Reactors (1)
- Big Data (4)
- Biomedical (4)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (17)
- Coronavirus (2)
- Critical Materials (3)
- Environment (7)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (3)
- Machine Learning (1)
- Materials (1)
- Materials Science (1)
- Nanotechnology (1)
- Polymers (2)
- Quantum Computing (4)
- Quantum Science (3)
- Simulation (1)
- Space Exploration (1)
- Summit (6)
- Sustainable Energy (1)
- Transportation (1)
Media Contacts
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.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the
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.
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.