Filter News
Area of Research
News Topics
- (-) Exascale Computing (6)
- (-) Grid (2)
- (-) Machine Learning (5)
- (-) Quantum Science (5)
- Artificial Intelligence (9)
- Big Data (3)
- Bioenergy (2)
- Biology (7)
- Biomedical (4)
- Buildings (3)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (10)
- Coronavirus (3)
- Critical Materials (1)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (5)
- Environment (4)
- Frontier (8)
- High-Performance Computing (8)
- Materials (11)
- Materials Science (6)
- Microscopy (2)
- Nanotechnology (3)
- National Security (3)
- Neutron Science (10)
- Partnerships (1)
- Physics (2)
- Quantum Computing (7)
- Security (2)
- Simulation (5)
- Space Exploration (1)
- Summit (7)
- Sustainable Energy (2)
Media Contacts
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.
Scientists’ increasing mastery of quantum mechanics is heralding a new age of innovation. Technologies that harness the power of nature’s most minute scale show enormous potential across the scientific spectrum
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.