Filter News
Area of Research
- (-) Computer Science (12)
- (-) Electricity and Smart Grid (2)
- (-) Energy Sciences (4)
- Advanced Manufacturing (17)
- Biological Systems (4)
- Biology and Environment (50)
- Building Technologies (8)
- Chemical and Engineering Materials (1)
- Clean Energy (198)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (3)
- Fossil Energy (1)
- Functional Materials for Energy (2)
- Fusion and Fission (17)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (10)
- Materials (143)
- Materials Characterization (2)
- Materials for Computing (14)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (16)
- Neutron Data Analysis and Visualization (2)
- Neutron Science (47)
- Nuclear Science and Technology (26)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (4)
- Renewable Energy (2)
- Sensors and Controls (2)
- Supercomputing (61)
- Transportation Systems (4)
News Type
News Topics
- Artificial Intelligence (6)
- Big Data (4)
- Buildings (2)
- Computer Science (12)
- Decarbonization (1)
- Energy Storage (3)
- Environment (2)
- Exascale Computing (1)
- Frontier (1)
- Grid (4)
- High-Performance Computing (3)
- Machine Learning (4)
- Materials (1)
- Materials Science (1)
- Quantum Science (1)
- Simulation (1)
- Summit (1)
- Sustainable Energy (4)
Media Contacts
A research team from the Department of Energy’s Oak Ridge and Lawrence Livermore national laboratories won the first Best Open-Source Contribution Award for its paper at the 37th IEEE International Parallel and Distributed Processing Symposium.
ORNL researchers, in collaboration with Enginuity Power Systems, demonstrated that a micro combined heat and power prototype, or mCHP, with a piston engine can achieve an overall energy efficiency greater than 93%.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
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
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
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.
Oak Ridge National Laboratory researchers proved that the heat transport ability of lithium-ion battery cathodes is much lower than previously determined, a finding that could help explain barriers to increasing energy storage capacity and boosting performance.
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.