Filter News
Area of Research
- (-) Biological Systems (2)
- (-) National Security (10)
- (-) Supercomputing (40)
- Advanced Manufacturing (4)
- Biology and Environment (75)
- Clean Energy (54)
- Computational Biology (2)
- Computational Engineering (2)
- Fusion and Fission (10)
- Fusion Energy (7)
- Isotopes (5)
- Materials (77)
- Materials for Computing (8)
- Mathematics (1)
- Neutron Science (101)
- Nuclear Science and Technology (19)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
News Topics
- (-) Advanced Reactors (2)
- (-) Bioenergy (13)
- (-) Biomedical (18)
- (-) Neutron Science (15)
- (-) Physics (8)
- 3-D Printing/Advanced Manufacturing (7)
- Artificial Intelligence (45)
- Big Data (22)
- Biology (14)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Energy Storage (9)
- Environment (25)
- Exascale Computing (22)
- Frontier (28)
- Fusion (2)
- Grid (11)
- High-Performance Computing (40)
- Isotopes (1)
- Machine Learning (23)
- Materials (16)
- Materials Science (17)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (35)
- Net Zero (1)
- Nuclear Energy (8)
- Partnerships (4)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- 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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
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 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.
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.