Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) Computer Science (7)
- (-) Materials (8)
- (-) Quantum information Science (1)
- Advanced Manufacturing (3)
- Biology and Environment (12)
- Building Technologies (2)
- Clean Energy (52)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion Energy (1)
- Materials for Computing (2)
- National Security (4)
- Neutron Science (1)
- Nuclear Science and Technology (3)
- Sensors and Controls (1)
- Supercomputing (9)
- Transportation Systems (2)
News Topics
- (-) Big Data (3)
- (-) Grid (3)
- (-) Machine Learning (3)
- (-) Molten Salt (1)
- (-) Sustainable Energy (5)
- (-) Transportation (6)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (4)
- Bioenergy (1)
- Biomedical (2)
- Buildings (2)
- Chemical Sciences (4)
- Clean Water (2)
- Climate Change (1)
- Composites (4)
- Computer Science (14)
- Coronavirus (1)
- Critical Materials (5)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (8)
- Environment (3)
- Fusion (2)
- High-Performance Computing (1)
- Isotopes (2)
- Materials (12)
- Materials Science (19)
- Mathematics (1)
- Microscopy (6)
- Nanotechnology (8)
- Neutron Science (4)
- Nuclear Energy (3)
- Physics (3)
- Polymers (6)
- Quantum Computing (1)
- Quantum Science (4)
- Space Exploration (1)
Media Contacts
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
ORNL scientists found that a small tweak created big performance improvements in a type of solid-state battery, a technology considered vital to broader electric vehicle adoption.
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
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
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.
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.
In collaboration with the Department of Veterans Affairs, a team at Oak Ridge National Laboratory has expanded a VA-developed predictive computing model to identify veterans at risk of suicide and sped it up to run 300 times faster, a gain that could profoundly affect the VA’s ability to reach susceptible veterans quickly.
Researchers at Oak Ridge National Laboratory proved that a certain class of ionic liquids, when mixed with commercially available oils, can make gears run more efficiently with less noise and better durability.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
A new method developed at Oak Ridge National Laboratory improves the energy efficiency of a desalination process known as solar-thermal evaporation.