Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (7)
- (-) Critical Materials (3)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Big Data (7)
- Bioenergy (17)
- Biology (21)
- Biomedical (5)
- Biotechnology (2)
- Buildings (12)
- Chemical Sciences (6)
- Clean Water (5)
- Climate Change (24)
- Composites (3)
- Computer Science (13)
- Coronavirus (7)
- Cybersecurity (3)
- Decarbonization (15)
- Energy Storage (8)
- Environment (30)
- Exascale Computing (4)
- Frontier (4)
- Fusion (4)
- Grid (6)
- High-Performance Computing (11)
- Hydropower (8)
- Irradiation (1)
- Isotopes (2)
- ITER (1)
- Machine Learning (6)
- Materials (19)
- Materials Science (7)
- Mercury (1)
- Microscopy (10)
- Nanotechnology (5)
- National Security (10)
- Net Zero (2)
- Neutron Science (5)
- Nuclear Energy (3)
- Partnerships (2)
- Physics (3)
- Polymers (2)
- Quantum Computing (5)
- Quantum Science (5)
- Security (2)
- Simulation (5)
- Space Exploration (3)
- Summit (5)
- Sustainable Energy (19)
- Transportation (5)
Media Contacts
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.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
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.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.