Filter News
Area of Research
News Topics
- (-) Biomedical (1)
- (-) Computer Science (4)
- (-) Machine Learning (2)
- (-) Microscopy (2)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Bioenergy (3)
- Clean Water (1)
- Climate Change (3)
- Coronavirus (6)
- Cybersecurity (1)
- Energy Storage (12)
- Environment (7)
- Grid (6)
- Materials Science (5)
- Mathematics (1)
- Nuclear Energy (1)
- Polymers (1)
- Summit (1)
- Sustainable Energy (10)
- Transportation (9)
Media Contacts
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.
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.
Oak Ridge National Laboratory researchers have built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
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
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
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.