Filter News
Area of Research
- (-) Advanced Manufacturing (3)
- (-) Supercomputing (53)
- Biological Systems (1)
- Biology and Environment (78)
- Biology and Soft Matter (1)
- Clean Energy (55)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (9)
- Fusion Energy (1)
- Materials (17)
- Materials for Computing (2)
- National Security (13)
- Neutron Science (11)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (5)
- (-) Artificial Intelligence (21)
- (-) Bioenergy (3)
- (-) Coronavirus (7)
- (-) Environment (13)
- (-) Exascale Computing (12)
- (-) Frontier (13)
- (-) Simulation (10)
- (-) Sustainable Energy (3)
- Big Data (13)
- Biology (6)
- Biomedical (7)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (45)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (1)
- Grid (1)
- High-Performance Computing (20)
- Machine Learning (7)
- Materials (6)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (5)
- National Security (3)
- Net Zero (1)
- Neutron Science (8)
- Nuclear Energy (2)
- Physics (3)
- Quantum Computing (10)
- Quantum Science (10)
- Security (1)
- Software (1)
- Space Exploration (1)
- Summit (21)
- Transportation (3)
Media Contacts
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
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.
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...
While serving in Kandahar, Afghanistan, U.S. Navy construction mechanic Matthew Sallas may not have imagined where his experience would take him next. But researchers at Oak Ridge National Laboratory certainly had the future in mind as they were creating programs to train men and wome...