Filter News
Area of Research
- (-) Computer Science (1)
- (-) National Security (3)
- Biology and Environment (4)
- Building Technologies (2)
- Clean Energy (16)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (10)
- Materials for Computing (3)
- Neutron Science (2)
- Supercomputing (10)
News Type
News Topics
- (-) Big Data (3)
- (-) Buildings (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (4)
- Bioenergy (2)
- Biology (4)
- Biomedical (2)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (8)
- Coronavirus (1)
- Cybersecurity (5)
- Decarbonization (1)
- Energy Storage (1)
- Environment (1)
- Exascale Computing (2)
- Frontier (1)
- Grid (3)
- High-Performance Computing (2)
- Machine Learning (4)
- Materials (1)
- National Security (13)
- Neutron Science (2)
- Partnerships (1)
- Physics (1)
- Security (3)
- Simulation (1)
- Summit (2)
- Sustainable Energy (1)
Media Contacts
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.