Filter News
Area of Research
- (-) Clean Energy (11)
- (-) Neutron Science (4)
- Biology and Environment (6)
- Computer Science (1)
- Fusion and Fission (3)
- Fusion Energy (3)
- Isotopes (2)
- Materials (5)
- Materials for Computing (1)
- National Security (2)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (8)
News Topics
- (-) Biomedical (4)
- (-) Clean Water (1)
- (-) Grid (6)
- (-) Machine Learning (3)
- (-) Nuclear Energy (2)
- 3-D Printing/Advanced Manufacturing (9)
- Advanced Reactors (1)
- Artificial Intelligence (2)
- Big Data (1)
- Bioenergy (4)
- Climate Change (3)
- Computer Science (6)
- Coronavirus (8)
- Cybersecurity (1)
- Energy Storage (12)
- Environment (7)
- Materials Science (7)
- Mathematics (2)
- Microscopy (2)
- Neutron Science (10)
- Polymers (2)
- Quantum Science (1)
- Security (1)
- Summit (2)
- Sustainable Energy (10)
- Transportation (9)
Media Contacts
Planning for a digitized, sustainable smart power grid is a challenge to which Suman Debnath is using not only his own applied mathematics expertise, but also the wider communal knowledge made possible by his revival of a local chapter of the IEEE professional society.
The Transformational Challenge Reactor, or TCR, a microreactor built using 3D printing and other new advanced technologies, could be operational by 2024.
Pick your poison. It can be deadly for good reasons such as protecting crops from harmful insects or fighting parasite infection as medicine — or for evil as a weapon for bioterrorism. Or, in extremely diluted amounts, it can be used to enhance beauty.
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.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
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.
Ada Sedova’s journey to Oak Ridge National Laboratory has taken her on the path from pre-med studies in college to an accelerated graduate career in mathematics and biophysics and now to the intersection of computational science and biology
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 the Department of Energy’s Oak Ridge National Laboratory (ORNL) in late February demonstrated a 20-kilowatt bi-directional wireless charging system installed on a UPS medium-duty, plug-in hybrid electric delivery truck.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.