Filter News
Area of Research
- (-) Clean Energy (12)
- (-) Quantum information Science (2)
- Biology and Environment (8)
- Climate and Environmental Systems (2)
- Fusion and Fission (3)
- Fusion Energy (4)
- Isotopes (1)
- Materials (8)
- Materials for Computing (1)
- National Security (2)
- Neutron Science (3)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (9)
News Type
News Topics
- (-) Bioenergy (3)
- (-) Environment (7)
- (-) Nanotechnology (1)
- (-) Nuclear Energy (1)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Biomedical (1)
- Clean Water (1)
- Climate Change (3)
- Computer Science (4)
- Coronavirus (6)
- Cybersecurity (1)
- Energy Storage (12)
- Grid (6)
- Machine Learning (2)
- Materials Science (5)
- Mathematics (1)
- Microscopy (3)
- Polymers (1)
- Quantum Science (2)
- Sustainable Energy (10)
- 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.
The Transformational Challenge Reactor, or TCR, a microreactor built using 3D printing and other new advanced technologies, could be operational by 2024.
Scientists at ORNL and the University of Nebraska have developed an easier way to generate electrons for nanoscale imaging and sensing, providing a useful new tool for material science, bioimaging and fundamental quantum research.
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.
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
An international team of scientists found that rules governing plant growth hold true even at the edges of the world in the Arctic tundra.
While some of her earth system modeling colleagues at ORNL face challenges such as processor allocation or debugging code, Verity Salmon prepares for mosquito swarms and the possibility of grizzly bears.