Filter News
Area of Research
- (-) Clean Energy (14)
- (-) Computer Science (8)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (5)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Fusion and Fission (3)
- Fusion Energy (7)
- Isotopes (1)
- Materials (18)
- Materials for Computing (1)
- National Security (5)
- Neutron Science (26)
- Nuclear Science and Technology (10)
- Quantum information Science (2)
- Supercomputing (38)
News Type
News Topics
- (-) Biomedical (3)
- (-) Computer Science (16)
- (-) Machine Learning (6)
- 3-D Printing/Advanced Manufacturing (17)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (3)
- Bioenergy (6)
- Biology (1)
- Biotechnology (1)
- Clean Water (4)
- Climate Change (4)
- Composites (1)
- Coronavirus (6)
- Cybersecurity (2)
- Energy Storage (17)
- Environment (17)
- Grid (11)
- Materials Science (9)
- Mathematics (1)
- Mercury (2)
- Microscopy (3)
- Nanotechnology (2)
- Nuclear Energy (2)
- Polymers (3)
- Quantum Science (1)
- Security (1)
- Space Exploration (2)
- Summit (1)
- Sustainable Energy (13)
- Transportation (20)
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.
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
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.
ORNL computer scientist Catherine Schuman returned to her alma mater, Harriman High School, to lead Hour of Code activities and talk to students about her job as a researcher.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
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.
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.