Filter News
Area of Research
- (-) Computer Science (2)
- (-) Neutron Science (2)
- (-) Sensors and Controls (1)
- Biology and Environment (22)
- Biology and Soft Matter (1)
- Clean Energy (69)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Materials (10)
- Materials for Computing (1)
- National Security (8)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (9)
- Transportation Systems (1)
News Type
News Topics
- (-) Decarbonization (2)
- (-) Grid (3)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (6)
- Biology (5)
- Biomedical (11)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Composites (1)
- Computer Science (26)
- Coronavirus (8)
- Cybersecurity (2)
- Energy Storage (8)
- Environment (9)
- Exascale Computing (1)
- Fossil Energy (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Machine Learning (6)
- Materials (14)
- Materials Science (24)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (99)
- Nuclear Energy (3)
- Physics (9)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (9)
- Security (3)
- Space Exploration (3)
- Summit (7)
- Sustainable Energy (4)
- Transportation (5)
Media Contacts
Natural gas furnaces not only heat your home, they also produce a lot of pollution. Even modern high-efficiency condensing furnaces produce significant amounts of corrosive acidic condensation and unhealthy levels of nitrogen oxides
Researchers at ORNL have developed a new method for producing a key component of lithium-ion batteries. The result is a more affordable battery from a faster, less wasteful process that uses less toxic material.
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.
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.