
Filter News
Area of Research
News Type
News Topics
- (-) Energy Storage (1)
- (-) Summit (3)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (3)
- Big Data (2)
- Bioenergy (1)
- Biology (2)
- Biomedical (1)
- Chemical Sciences (1)
- Computer Science (26)
- Coronavirus (1)
- Cybersecurity (5)
- Exascale Computing (7)
- Frontier (6)
- Fusion (1)
- Grid (3)
- High-Performance Computing (13)
- Isotopes (1)
- Machine Learning (2)
- Materials (9)
- Materials Science (12)
- Microscopy (2)
- Nanotechnology (8)
- Neutron Science (5)
- Physics (8)
- Quantum Computing (47)
- Quantum Science (70)
- Security (3)
- Simulation (10)
Media Contacts
Connect with ORNL
Get ORNL News

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications.

A team of eight scientists won the Association for Computing Machinery’s 2023 Gordon Bell Prize for their study that used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.

In the early 2000s, high-performance computing experts repurposed GPUs — common video game console components used to speed up image rendering and other time-consuming tasks

Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.