First-generation graduate Brittany Rodriguez advances manufacturing scie...
Filter News
Area of Research
- (-) Fusion Energy (4)
- (-) National Security (5)
- (-) Supercomputing (37)
- Biology and Environment (7)
- Clean Energy (31)
- Computer Science (1)
- Fusion and Fission (2)
- Materials (19)
- Materials for Computing (2)
- Neutron Science (8)
- Nuclear Science and Technology (10)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
News Topics
- (-) Advanced Reactors (3)
- (-) Computer Science (37)
- (-) Exascale Computing (2)
- (-) Frontier (1)
- (-) Polymers (2)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (7)
- Big Data (8)
- Bioenergy (3)
- Biology (1)
- Biomedical (8)
- Chemical Sciences (1)
- Climate Change (1)
- Coronavirus (9)
- Critical Materials (1)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (2)
- Environment (4)
- Fusion (4)
- Grid (3)
- High-Performance Computing (2)
- Isotopes (1)
- Machine Learning (4)
- Materials (2)
- Materials Science (8)
- Mathematics (1)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (4)
- National Security (2)
- Neutron Science (9)
- Nuclear Energy (5)
- Physics (3)
- Quantum Science (9)
- Security (4)
- Summit (15)
- Transportation (4)
Media Contacts
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing.
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the