Filter News
Area of Research
- (-) Clean Energy (22)
- (-) Materials (5)
- (-) Nuclear Science and Technology (1)
- Biology and Environment (9)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Isotopes (3)
- Materials for Computing (1)
- Mathematics (1)
- National Security (3)
- Neutron Science (3)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (7)
News Topics
- (-) Big Data (1)
- (-) Biomedical (3)
- (-) Clean Water (4)
- (-) Grid (15)
- (-) Isotopes (3)
- (-) Machine Learning (2)
- (-) Physics (2)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (5)
- Artificial Intelligence (1)
- Bioenergy (2)
- Biology (2)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (4)
- Climate Change (6)
- Composites (9)
- Computer Science (10)
- Coronavirus (3)
- Critical Materials (8)
- Decarbonization (4)
- Energy Storage (22)
- Environment (16)
- Fusion (3)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (22)
- Materials Science (23)
- Mathematics (1)
- Mercury (1)
- Microscopy (6)
- Molten Salt (4)
- Nanotechnology (8)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (13)
- Polymers (7)
- Quantum Computing (1)
- Quantum Science (1)
- Simulation (1)
- Space Exploration (4)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (27)
Media Contacts
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 new Department of Energy report produced by Oak Ridge National Laboratory details national and international trends in hydropower, including the role waterpower plays in enhancing the flexibility and resilience of the power grid.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Oak Ridge National Laboratory researchers have discovered a better way to separate actinium-227, a rare isotope essential for an FDA-approved cancer treatment.
Researchers at Oak Ridge National Laboratory demonstrated a 20-kilowatt bi-directional wireless charging system on a UPS plug-in hybrid electric delivery truck, advancing the technology to a larger class of vehicles and enabling a new energy storage method for fleet owners and their facilities.
Researchers at ORNL demonstrated that sodium-ion batteries can serve as a low-cost, high performance substitute for rechargeable lithium-ion batteries commonly used in robotics, power tools, and grid-scale energy storage.
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.
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