Filter News
Area of Research
- (-) Fusion and Fission (19)
- (-) National Security (21)
- (-) Supercomputing (42)
- (-) Transportation Systems (1)
- Advanced Manufacturing (7)
- Biological Systems (1)
- Biology and Environment (19)
- Clean Energy (57)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion Energy (9)
- Isotopes (8)
- Materials (56)
- Materials for Computing (11)
- Neutron Science (59)
- Nuclear Science and Technology (30)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) Artificial Intelligence (26)
- (-) Biomedical (11)
- (-) Cybersecurity (9)
- (-) Grid (7)
- (-) Materials Science (11)
- (-) Neutron Science (7)
- (-) Nuclear Energy (21)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (4)
- Big Data (20)
- Bioenergy (5)
- Biology (9)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (5)
- Climate Change (17)
- Composites (1)
- Computer Science (66)
- Coronavirus (11)
- Critical Materials (4)
- Decarbonization (6)
- Energy Storage (5)
- Environment (21)
- Exascale Computing (14)
- Frontier (15)
- Fusion (15)
- High-Performance Computing (26)
- ITER (4)
- Machine Learning (14)
- Materials (6)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (23)
- Net Zero (2)
- Partnerships (1)
- Physics (4)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (14)
- Security (7)
- Simulation (13)
- Software (1)
- Summit (27)
- Sustainable Energy (7)
- Transportation (8)
Media Contacts
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
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.