Filter News
Area of Research
- (-) National Security (15)
- (-) Supercomputing (64)
- Biological Systems (1)
- Biology and Environment (87)
- Biology and Soft Matter (1)
- Clean Energy (78)
- Climate and Environmental Systems (4)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Energy Sciences (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (5)
- Materials (27)
- Materials for Computing (5)
- Mathematics (1)
- Neutron Science (20)
- Nuclear Science and Technology (1)
- Quantum information Science (7)
News Type
News Topics
- (-) Biomedical (11)
- (-) Energy Storage (3)
- (-) Environment (20)
- (-) Machine Learning (14)
- (-) Quantum Science (14)
- (-) Summit (27)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (26)
- Big Data (20)
- Bioenergy (4)
- Biology (9)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (17)
- Computer Science (66)
- Coronavirus (11)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (4)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- Grid (6)
- High-Performance Computing (25)
- Materials (6)
- Materials Science (10)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Security (7)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Sustainable Energy (5)
- Transportation (5)
Media Contacts
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
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.
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.
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...