Filter News
Area of Research
- (-) Clean Energy (33)
- (-) Neutron Science (8)
- Advanced Manufacturing (1)
- Biology and Environment (12)
- Climate and Environmental Systems (2)
- Fusion and Fission (4)
- Fusion Energy (4)
- Isotopes (3)
- Materials (13)
- Materials for Computing (4)
- National Security (6)
- Nuclear Science and Technology (20)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (18)
News Topics
- (-) Cybersecurity (1)
- (-) Environment (17)
- (-) Isotopes (1)
- (-) Nuclear Energy (3)
- (-) Security (1)
- (-) Summit (6)
- (-) Transportation (14)
- 3-D Printing/Advanced Manufacturing (18)
- Advanced Reactors (3)
- Artificial Intelligence (4)
- Big Data (3)
- Bioenergy (10)
- Biology (1)
- Biomedical (7)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (7)
- Composites (1)
- Computer Science (13)
- Coronavirus (12)
- Decarbonization (1)
- Energy Storage (16)
- Exascale Computing (1)
- Grid (6)
- High-Performance Computing (1)
- Machine Learning (5)
- Materials (2)
- Materials Science (15)
- Mathematics (2)
- Microscopy (3)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (1)
- Neutron Science (25)
- Physics (3)
- Polymers (4)
- Quantum Science (4)
- Sustainable Energy (20)
- Transformational Challenge Reactor (2)
Media Contacts
ORNL and Department of Energy officials dedicated the launch of two clean energy research initiatives that focus on the recycling and recovery of advanced manufacturing materials and on connected and
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.
Scientists at Oak Ridge National Laboratory have demonstrated a direct relationship between climate warming and carbon loss in a peatland ecosystem.
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable
Burak Ozpineci of the Electrical and Electronics Systems Research Division at Oak Ridge National Laboratory has won the 2020 IEEE Power Electronics Society Vehicle and Transportation Systems Achievement Award.
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