Filter News
Area of Research
News Type
News Topics
- (-) Bioenergy (2)
- (-) High-Performance Computing (1)
- (-) Microscopy (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (2)
- Biology (1)
- Biomedical (2)
- Chemical Sciences (1)
- Clean Water (1)
- Computer Science (5)
- Coronavirus (1)
- Energy Storage (2)
- Environment (2)
- Machine Learning (1)
- Materials (1)
- Materials Science (3)
- Nanotechnology (1)
- Neutron Science (8)
- Nuclear Energy (1)
- Quantum Computing (1)
- Quantum Science (1)
Media Contacts
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
Illustration of the optimized zeolite catalyst, or NbAlS-1, which enables a highly efficient chemical reaction to create butene, a renewable source of energy, without expending high amounts of energy for the conversion. Credit: Jill Hemman, Oak Ridge National Laboratory/U.S. Dept. of Energy
While studying the genes in poplar trees that control callus formation, scientists at Oak Ridge National Laboratory have uncovered genetic networks at the root of tumor formation in several human cancers.