Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (3)
- Clean Energy (8)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Fusion Energy (3)
- Materials (9)
- Neutron Science (2)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
- Supercomputing (9)
News Topics
- (-) Clean Water (5)
- (-) Computer Science (19)
- (-) Critical Materials (3)
- (-) Fusion (3)
- (-) Machine Learning (5)
- (-) Microscopy (5)
- (-) Molten Salt (1)
- (-) Quantum Science (5)
- (-) 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)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (10)
- Environment (11)
- Exascale Computing (1)
- Grid (7)
- High-Performance Computing (4)
- Hydropower (5)
- Irradiation (1)
- Isotopes (1)
- Materials (11)
- Materials Science (12)
- Nanotechnology (4)
- National Security (3)
- Neutron Science (10)
- Nuclear Energy (9)
- Partnerships (1)
- Physics (3)
- Polymers (2)
- Simulation (2)
- Space Exploration (6)
- Sustainable Energy (8)
- Transportation (9)
Media Contacts
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
ORNL researchers discovered genetic mutations that underlie autism using a new approach that could lead to better diagnostics and drug therapies.
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.
Researchers at Oak Ridge National Laboratory and Momentum Technologies have piloted an industrial-scale process for recycling valuable materials in the millions of tons of e-waste generated annually in the United States.
Researchers at Oak Ridge National Laboratory are using state-of-the-art methods to shed light on chemical separations needed to recover rare-earth elements and secure critical materials for clean energy technologies.
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.
Oak Ridge National Laboratory researchers demonstrated an electron microscopy technique for imaging lithium in energy storage materials, such as lithium ion batteries, at the atomic scale.
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.