Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (4)
- (-) Energy Storage (4)
- (-) Microscopy (2)
- (-) Polymers (1)
- (-) Space Exploration (1)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Big Data (4)
- Bioenergy (5)
- Biology (1)
- Biomedical (2)
- Biotechnology (1)
- Clean Water (2)
- Computer Science (16)
- Environment (11)
- Exascale Computing (2)
- Fusion (1)
- Grid (1)
- Machine Learning (1)
- Materials Science (6)
- Mercury (1)
- Nanotechnology (2)
- Neutron Science (4)
- Nuclear Energy (7)
- Physics (3)
- Quantum Science (2)
- Summit (4)
- Sustainable Energy (1)
- 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.
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.
The type of vehicle that will carry people to the Red Planet is shaping up to be “like a two-story house you’re trying to land on another planet.
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.
Vera Bocharova at the Department of Energy’s Oak Ridge National Laboratory investigates the structure and dynamics of soft materials—polymer nanocomposites, polymer electrolytes and biological macromolecules—to advance materials and technologies for energy, medicine and other applications.
The use of lithium-ion batteries has surged in recent years, starting with electronics and expanding into many applications, including the growing electric and hybrid vehicle industry. But the technologies to optimize recycling of these batteries have not kept pace.
Researchers have long sought electrically conductive materials for economical energy-storage devices. Two-dimensional (2D) ceramics called MXenes are contenders. Unlike most 2D ceramics, MXenes have inherently good conductivity because they are molecular sheets made from the carbides ...