Filter News
Area of Research
- (-) Clean Energy (16)
- (-) Materials (4)
- Biology and Environment (6)
- Climate and Environmental Systems (2)
- Computer Science (1)
- Fusion Energy (1)
- Materials for Computing (1)
- National Security (3)
- Neutron Science (1)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
- Supercomputing (4)
News Type
News Topics
- (-) Bioenergy (4)
- (-) Environment (8)
- (-) Grid (6)
- (-) Nanotechnology (3)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (2)
- Artificial Intelligence (2)
- Big Data (2)
- Biomedical (2)
- Clean Water (1)
- Climate Change (3)
- Computer Science (8)
- Coronavirus (7)
- Cybersecurity (2)
- Energy Storage (13)
- Exascale Computing (1)
- Machine Learning (4)
- Materials Science (16)
- Mathematics (2)
- Microscopy (4)
- Neutron Science (3)
- Nuclear Energy (4)
- Physics (4)
- Polymers (2)
- Quantum Science (1)
- Security (1)
- Summit (2)
- Sustainable Energy (10)
- Transformational Challenge Reactor (2)
- Transportation (9)
Media Contacts
As ORNL’s fuel properties technical lead for the U.S. Department of Energy’s Co-Optimization of Fuel and Engines, or Co-Optima, initiative, Jim Szybist has been on a quest for the past few years to identify the most significant indicators for predicting how a fuel will perform in engines designed for light-duty vehicles such as passenger cars and pickup trucks.
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.
Systems biologist Paul Abraham uses his fascination with proteins, the molecular machines of nature, to explore new ways to engineer more productive ecosystems and hardier bioenergy crops.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have a powerful new tool in the quest to produce better plants for biofuels, bioproducts and agriculture.
Oak Ridge National Laboratory scientists evaluating northern peatland responses to environmental change recorded extraordinary fine-root growth with increasing temperatures, indicating that this previously hidden belowground mechanism may play an important role in how carbon-rich peatlands respond to warming.
An all-in-one experimental platform developed at Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences accelerates research on promising materials for future technologies.
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.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
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.