Filter News
Area of Research
- (-) Supercomputing (3)
- Biology and Environment (6)
- Clean Energy (11)
- Climate and Environmental Systems (2)
- Fusion and Fission (4)
- Fusion Energy (5)
- Isotopes (1)
- Materials (7)
- Materials for Computing (1)
- National Security (2)
- Neutron Science (2)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
News Topics
- (-) Environment (1)
- (-) Frontier (1)
- (-) Fusion (1)
- (-) Nanotechnology (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (4)
- Big Data (8)
- Biomedical (6)
- Computer Science (21)
- Coronavirus (5)
- Cybersecurity (1)
- Exascale Computing (2)
- Grid (1)
- High-Performance Computing (1)
- Machine Learning (3)
- Materials Science (4)
- Mathematics (1)
- Neutron Science (3)
- Physics (1)
- Polymers (1)
- Quantum Science (4)
- Summit (8)
- Sustainable Energy (1)
Media Contacts
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
The prospect of simulating a fusion plasma is a step closer to reality thanks to a new computational tool developed by scientists in fusion physics, computer science and mathematics at ORNL.