Filter News
Area of Research
- (-) Computer Science (12)
- (-) Neutron Science (12)
- Advanced Manufacturing (3)
- Biology and Environment (51)
- Building Technologies (2)
- Clean Energy (67)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Energy Sciences (1)
- Fusion and Fission (3)
- Fusion Energy (3)
- Materials (40)
- Materials for Computing (14)
- Mathematics (1)
- National Security (18)
- Nuclear Science and Technology (1)
- Quantum information Science (6)
- Supercomputing (72)
News Topics
- (-) Computer Science (18)
- (-) Coronavirus (3)
- (-) Machine Learning (6)
- (-) Microscopy (2)
- (-) Nanotechnology (3)
- (-) Polymers (1)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (9)
- Big Data (4)
- Bioenergy (3)
- Biology (1)
- Biomedical (7)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (2)
- Decarbonization (1)
- Energy Storage (5)
- Environment (5)
- Fossil Energy (1)
- Grid (2)
- High-Performance Computing (2)
- Materials (8)
- Materials Science (10)
- Mathematics (1)
- National Security (1)
- Neutron Science (56)
- Nuclear Energy (2)
- Physics (2)
- Quantum Computing (1)
- Quantum Science (3)
- Security (1)
- Space Exploration (2)
- Summit (2)
- Transportation (2)
Media Contacts
ORNL’s Fulvia Pilat and Karren More recently participated in the inaugural 2023 Nanotechnology Infrastructure Leaders Summit and Workshop at the White House.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
A research team from the Department of Energy’s Oak Ridge and Lawrence Livermore national laboratories won the first Best Open-Source Contribution Award for its paper at the 37th IEEE International Parallel and Distributed Processing Symposium.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
COVID-19 has upended nearly every aspect of our daily lives and forced us all to rethink how we can continue our work in a more physically isolated world.