Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (7)
- (-) Energy Storage (2)
- (-) Mathematics (1)
- 3-D Printing/Advanced Manufacturing (1)
- Big Data (8)
- Bioenergy (2)
- Biomedical (6)
- Clean Water (1)
- Computer Science (28)
- Coronavirus (4)
- Cybersecurity (1)
- Environment (3)
- Exascale Computing (3)
- Grid (1)
- High-Performance Computing (1)
- Machine Learning (3)
- Materials Science (5)
- Nanotechnology (2)
- Neutron Science (12)
- Nuclear Energy (2)
- Physics (1)
- Polymers (1)
- Quantum Science (5)
- Security (1)
- Space Exploration (1)
- Summit (9)
- Transportation (2)
Media Contacts
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
As the second-leading cause of death in the United States, cancer is a public health crisis that afflicts nearly one in two people during their lifetime.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Two of the researchers who share the Nobel Prize in Chemistry announced Wednesday—John B. Goodenough of the University of Texas at Austin and M. Stanley Whittingham of Binghamton University in New York—have research ties to ORNL.
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
Ionic conduction involves the movement of ions from one location to another inside a material. The ions travel through point defects, which are irregularities in the otherwise consistent arrangement of atoms known as the crystal lattice. This sometimes sluggish process can limit the performance and efficiency of fuel cells, batteries, and other energy storage technologies.
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.