Filter News
Area of Research
- (-) Computational Engineering (1)
- Advanced Manufacturing (1)
- Biology and Environment (9)
- Clean Energy (8)
- Computational Biology (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (1)
- Materials (9)
- National Security (12)
- Neutron Science (6)
- Supercomputing (36)
News Type
Date
News Topics
- (-) Artificial Intelligence (1)
- Big Data (1)
- Biomedical (6)
- Clean Water (1)
- Climate Change (2)
- Computer Science (4)
- Energy Storage (1)
- Environment (2)
- High-Performance Computing (1)
- Irradiation (1)
- Isotopes (24)
- Machine Learning (1)
- Materials (4)
- Materials Science (2)
- Mathematics (1)
- National Security (1)
- Nuclear Energy (3)
- Security (1)
- Space Exploration (4)
- Summit (1)
Media Contacts
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool