Filter News
Area of Research
- (-) Clean Energy (11)
- (-) Fusion Energy (6)
- Biology and Environment (5)
- Computer Science (1)
- Fusion and Fission (4)
- Isotopes (3)
- Materials (9)
- Materials for Computing (1)
- National Security (3)
- Neutron Science (5)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (21)
News Topics
- (-) Biomedical (1)
- (-) Computer Science (6)
- (-) Fusion (5)
- (-) Grid (6)
- (-) Machine Learning (2)
- (-) Nuclear Energy (5)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (4)
- Artificial Intelligence (1)
- Bioenergy (3)
- Clean Water (1)
- Climate Change (3)
- Coronavirus (6)
- Cybersecurity (1)
- Energy Storage (12)
- Environment (7)
- Frontier (1)
- Materials Science (5)
- Mathematics (1)
- Microscopy (2)
- Polymers (1)
- Quantum Science (1)
- Summit (2)
- Sustainable Energy (11)
- 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.
A developing method to gauge the occurrence of a nuclear reactor anomaly has the potential to save millions of dollars.
A team led by ORNL created a computational model of the proteins responsible for the transformation of mercury to toxic methylmercury, marking a step forward in understanding how the reaction occurs and how mercury cycles through the environment.
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.
Combining expertise in physics, applied math and computing, Oak Ridge National Laboratory scientists are expanding the possibilities for simulating electromagnetic fields that underpin phenomena in materials design and telecommunications.
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
Temperatures hotter than the center of the sun. Magnetic fields hundreds of thousands of times stronger than the earth’s. Neutrons energetic enough to change the structure of a material entirely.