Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) Computer Science (7)
- (-) Fusion and Fission (27)
- (-) Quantum information Science (8)
- Advanced Manufacturing (16)
- Biology and Environment (20)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (99)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion Energy (11)
- Isotopes (4)
- Materials (47)
- Materials for Computing (9)
- National Security (16)
- Neutron Science (14)
- Nuclear Science and Technology (17)
- Sensors and Controls (1)
- Supercomputing (34)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Chemical Sciences (4)
- (-) Fusion (20)
- (-) Grid (4)
- (-) Machine Learning (4)
- (-) Quantum Science (8)
- (-) Space Exploration (1)
- Advanced Reactors (4)
- Artificial Intelligence (6)
- Big Data (4)
- Bioenergy (2)
- Biology (1)
- Biomedical (1)
- Buildings (2)
- Clean Water (1)
- Climate Change (1)
- Composites (1)
- Computer Science (20)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (5)
- Environment (4)
- Exascale Computing (2)
- Frontier (1)
- High-Performance Computing (4)
- Isotopes (1)
- ITER (5)
- Materials (1)
- Materials Science (3)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (2)
- Net Zero (1)
- Neutron Science (1)
- Nuclear Energy (21)
- Partnerships (1)
- Physics (2)
- Security (2)
- Simulation (2)
- Summit (1)
- Sustainable Energy (6)
- Transportation (1)
Media Contacts
![Computing—Routing out the bugs](/sites/default/files/styles/list_page_thumbnail/public/2019-11/VA-HealthIT-2019-P04263.jpg?h=784bd909&itok=uwv091uK)
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