Katy Bradford: Cassette approach offers compelling construction solution
Filter News
Area of Research
- (-) Supercomputing (32)
- Biological Systems (1)
- Biology and Environment (25)
- Clean Energy (11)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (1)
- Isotopes (6)
- Materials (8)
- Materials for Computing (2)
- National Security (7)
- Neutron Science (12)
- Nuclear Science and Technology (2)
News Topics
- (-) Big Data (19)
- (-) Biomedical (17)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (36)
- Bioenergy (9)
- Biology (11)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (8)
- Environment (21)
- Exascale Computing (23)
- Frontier (29)
- Fusion (1)
- Grid (5)
- High-Performance Computing (39)
- Isotopes (2)
- Machine Learning (14)
- Materials (15)
- Materials Science (16)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Security (5)
- Simulation (15)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (10)
- Transportation (6)
Media Contacts
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...