Filter News
Area of Research
- (-) Supercomputing (8)
- Biology and Environment (12)
- Clean Energy (22)
- Computer Science (1)
- Fusion and Fission (4)
- Fusion Energy (4)
- Isotopes (3)
- Materials (12)
- Materials for Computing (1)
- National Security (5)
- Neutron Science (1)
- Nuclear Science and Technology (8)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
News Topics
- (-) Cybersecurity (1)
- (-) Exascale Computing (4)
- (-) Physics (1)
- (-) Polymers (1)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (7)
- Big Data (9)
- Bioenergy (2)
- Biology (4)
- Biomedical (9)
- Buildings (1)
- Climate Change (3)
- Computer Science (26)
- Coronavirus (7)
- Critical Materials (1)
- Decarbonization (1)
- Environment (3)
- Frontier (4)
- Fusion (1)
- Grid (1)
- High-Performance Computing (6)
- Machine Learning (5)
- Materials (4)
- Materials Science (7)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (4)
- Quantum Computing (5)
- Quantum Science (7)
- Simulation (4)
- Summit (13)
Media Contacts
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
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.
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.
Scientists at have experimentally demonstrated a novel cryogenic, or low temperature, memory cell circuit design based on coupled arrays of Josephson junctions, a technology that may be faster and more energy efficient than existing memory devices.
Researchers across the scientific spectrum crave data, as it is essential to understanding the natural world and, by extension, accelerating scientific progress.