Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (4)
- (-) Bioenergy (1)
- (-) Biomedical (5)
- (-) Grid (1)
- (-) Microscopy (4)
- (-) Nanotechnology (7)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (2)
- Big Data (4)
- Clean Water (2)
- Composites (1)
- Computer Science (19)
- Critical Materials (1)
- Energy Storage (7)
- Environment (6)
- Exascale Computing (1)
- Fusion (2)
- Isotopes (3)
- Machine Learning (1)
- Materials Science (14)
- Molten Salt (1)
- Neutron Science (13)
- Nuclear Energy (9)
- Physics (2)
- Polymers (5)
- Quantum Science (2)
- Space Exploration (3)
- Summit (6)
- Sustainable Energy (3)
- Transportation (8)
Media Contacts
Illustration of the optimized zeolite catalyst, or NbAlS-1, which enables a highly efficient chemical reaction to create butene, a renewable source of energy, without expending high amounts of energy for the conversion. Credit: Jill Hemman, Oak Ridge National Laboratory/U.S. Dept. of Energy
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
Researchers at ORNL and the National Renewable Energy Laboratory took inspiration from flying insects to demonstrate a miniaturized gyroscope, a special sensor used in navigation technologies.
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.
Scientists have discovered a way to alter heat transport in thermoelectric materials, a finding that may ultimately improve energy efficiency as the materials
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.
As the rise of antibiotic-resistant bacteria known as superbugs threatens public health, Oak Ridge National Laboratory’s Shuo Qian and Veerendra Sharma from the Bhaba Atomic Research Centre in India are using neutron scattering to study how an antibacterial peptide interacts with and fights harmful bacteria.
Oak Ridge National Laboratory scientists studying fuel cells as a potential alternative to internal combustion engines used sophisticated electron microscopy to investigate the benefits of replacing high-cost platinum with a lower cost, carbon-nitrogen-manganese-based catalyst.