Filter News
Area of Research
- (-) Supercomputing (13)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (54)
- Clean Energy (35)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotopes (10)
- Materials (21)
- Materials for Computing (2)
- Mathematics (1)
- National Security (9)
- Neutron Science (4)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
News Type
News Topics
- (-) Big Data (5)
- (-) Environment (6)
- (-) Machine Learning (1)
- (-) Space Exploration (1)
- (-) Summit (6)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- 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)
- Materials (2)
- Materials Science (1)
- Nanotechnology (1)
- Nuclear Energy (1)
- Polymers (2)
- Quantum Computing (4)
- Quantum Science (3)
- Simulation (2)
- Sustainable Energy (1)
- Transportation (1)
Media Contacts
![Small modular reactor computer simulation](/sites/default/files/styles/list_page_thumbnail/public/2019-04/Nuclear_simulation_scale-up.jpg?h=5992a83f&itok=A0oscIPL)
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.
![Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w Researchers used machine learning methods on the ORNL Compute and Data Environment for Science, or CADES, to map vegetation communities in the Kougarok Watershed on the Seward Peninsula of Alaska. The colors denote different types of vegetation, such as w](/sites/default/files/styles/list_page_thumbnail/public/rs2019_highlight_plot_3d.png?itok=5bROV_ys)
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.
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
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...