Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (4)
- Clean Energy (11)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Fusion Energy (3)
- Materials (5)
- National Security (1)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
- Supercomputing (9)
News Topics
- (-) Clean Water (5)
- (-) Computer Science (19)
- (-) Fusion (3)
- (-) Grid (7)
- (-) Machine Learning (5)
- (-) Polymers (2)
- (-) Summit (3)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (6)
- Artificial Intelligence (8)
- Big Data (8)
- Bioenergy (4)
- Biology (5)
- Biomedical (3)
- Buildings (8)
- Chemical Sciences (2)
- Climate Change (3)
- Composites (3)
- Coronavirus (4)
- Critical Materials (3)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (10)
- Environment (11)
- Exascale Computing (1)
- High-Performance Computing (4)
- Hydropower (5)
- Irradiation (1)
- Isotopes (1)
- Materials (11)
- Materials Science (12)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (4)
- National Security (3)
- Neutron Science (10)
- Nuclear Energy (9)
- Partnerships (1)
- Physics (3)
- Quantum Science (5)
- Simulation (2)
- Space Exploration (6)
- Sustainable Energy (8)
- Transportation (9)
Media Contacts
Researchers at Oak Ridge National Laboratory have designed architecture, software and control strategies for a futuristic EV truck stop that can draw megawatts of power and reduce carbon emissions.
ORNL researchers discovered genetic mutations that underlie autism using a new approach that could lead to better diagnostics and drug therapies.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
To further the potential benefits of the nation’s hydropower resources, researchers at Oak Ridge National Laboratory have developed and maintain a comprehensive water energy digital platform called HydroSource.
Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions.
An Oak Ridge National Laboratory team developed a novel technique using sensors to monitor seismic and acoustic activity and machine learning to differentiate operational activities at facilities from “noise” in the recorded data.
A new Department of Energy report produced by Oak Ridge National Laboratory identifies several supply chain must-haves in maintaining the pivotal role hydropower will play in decarbonizing the nation’s grid.
Measuring water quality throughout river networks with precision, speed and at lower cost than traditional methods is now possible with AquaBOT, an aquatic drone developed by Oak Ridge National Laboratory.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.