Filter News
Area of Research
- (-) Computer Science (3)
- (-) Sensors and Controls (1)
- Advanced Manufacturing (5)
- Biology and Environment (35)
- Clean Energy (77)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (3)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (86)
- Materials Characterization (1)
- Materials for Computing (16)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (11)
- Neutron Science (24)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (57)
- Transportation Systems (1)
News Type
News Topics
- (-) Grid (3)
- (-) Materials Science (1)
- Artificial Intelligence (6)
- Big Data (4)
- Buildings (1)
- Computer Science (15)
- Cybersecurity (1)
- Energy Storage (2)
- Environment (1)
- Exascale Computing (1)
- High-Performance Computing (2)
- Machine Learning (4)
- Quantum Science (3)
- Security (1)
- Summit (1)
- Sustainable Energy (2)
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 power systems and identify electrical grid disruptions, such as
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
A team led by Oak Ridge National Laboratory developed a novel, integrated approach to track energy-transporting ions within an ultra-thin material, which could unlock its energy storage potential leading toward faster charging, longer-lasting devices.
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.