Filter News
Area of Research
- (-) Clean Energy (21)
- Biology and Environment (9)
- Climate and Environmental Systems (2)
- Computer Science (1)
- Fusion and Fission (3)
- Fusion Energy (4)
- Isotopes (1)
- Materials (13)
- Materials for Computing (1)
- National Security (3)
- Neutron Science (3)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Supercomputing (21)
News Type
News Topics
- (-) Computer Science (4)
- (-) Environment (7)
- (-) Microscopy (2)
- (-) Nuclear Energy (1)
- (-) Quantum Science (1)
- (-) Transportation (9)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (1)
- Artificial Intelligence (1)
- Bioenergy (3)
- Biomedical (1)
- Clean Water (1)
- Climate Change (3)
- Coronavirus (6)
- Cybersecurity (1)
- Energy Storage (12)
- Grid (6)
- Machine Learning (2)
- Materials Science (5)
- Mathematics (1)
- Polymers (1)
- Summit (1)
- Sustainable Energy (10)
Media Contacts
If air taxis become a viable mode of transportation, Oak Ridge National Laboratory researchers have estimated they could reduce fuel consumption significantly while alleviating traffic congestion.
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.
Soteria Battery Innovation Group has exclusively licensed and optioned a technology developed by Oak Ridge National Laboratory designed to eliminate thermal runaway in lithium ion batteries due to mechanical damage.
Scientists at Oak Ridge National Laboratory used new techniques to create a composite that increases the electrical current capacity of copper wires, providing a new material that can be scaled for use in ultra-efficient, power-dense electric vehicle traction motors.
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.
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.
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.