Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (4)
- (-) Energy Storage (6)
- (-) Materials Science (4)
- (-) Microscopy (1)
- 3-D Printing/Advanced Manufacturing (9)
- Advanced Reactors (1)
- Big Data (4)
- Bioenergy (3)
- Biology (1)
- Biomedical (3)
- Biotechnology (1)
- Clean Water (3)
- Climate Change (1)
- Composites (1)
- Computer Science (20)
- Critical Materials (1)
- Cybersecurity (1)
- Environment (10)
- Exascale Computing (1)
- Grid (5)
- Mercury (2)
- Nanotechnology (2)
- Nuclear Energy (3)
- Polymers (3)
- Quantum Science (1)
- Security (1)
- Space Exploration (4)
- Summit (6)
- Sustainable Energy (3)
- Transportation (12)
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.
A team including Oak Ridge National Laboratory and University of Tennessee researchers demonstrated a novel 3D printing approach called Z-pinning that can increase the material’s strength and toughness by more than three and a half times compared to conventional additive manufacturing processes.
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
A new method developed at Oak Ridge National Laboratory improves the energy efficiency of a desalination process known as solar-thermal evaporation.
A team of researchers at Oak Ridge National Laboratory have demonstrated that designed synthetic polymers can serve as a high-performance binding material for next-generation lithium-ion batteries.
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.
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.
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.