Filter News
Area of Research
- (-) Computer Science (2)
- (-) Materials (4)
- (-) National Security (2)
- Clean Energy (17)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (1)
- Fusion Energy (4)
- Materials for Computing (2)
- Nuclear Science and Technology (2)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (1)
- Supercomputing (3)
News Topics
- (-) Energy Storage (3)
- (-) Grid (2)
- (-) Microscopy (2)
- (-) Summit (1)
- Big Data (1)
- Buildings (1)
- Computer Science (5)
- Coronavirus (1)
- Cybersecurity (1)
- Environment (1)
- High-Performance Computing (1)
- Materials Science (6)
- Nanotechnology (1)
- Polymers (2)
- Quantum Science (1)
- Sustainable Energy (3)
- Transportation (1)
Media Contacts
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.
Oak Ridge National Laboratory researchers have built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
Scientists at Oak Ridge National Laboratory used a focused beam of electrons to stitch platinum-silicon molecules into graphene, marking the first deliberate insertion of artificial molecules into a graphene host matrix.
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.