Filter News
Area of Research
- (-) Nuclear Science and Technology (6)
- (-) Supercomputing (20)
- Biology and Environment (10)
- Clean Energy (12)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (7)
- Fusion Energy (4)
- Isotopes (2)
- Materials (4)
- Materials for Computing (1)
- National Security (7)
- Neutron Science (3)
- Quantum information Science (2)
News Type
News Topics
- (-) Biomedical (10)
- (-) Fusion (6)
- (-) Grid (1)
- (-) Machine Learning (5)
- (-) Mathematics (1)
- (-) Quantum Science (7)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (5)
- Artificial Intelligence (7)
- Big Data (9)
- Bioenergy (2)
- Biology (4)
- Buildings (1)
- Climate Change (3)
- Computer Science (26)
- Coronavirus (7)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (1)
- Environment (3)
- Exascale Computing (4)
- Frontier (4)
- High-Performance Computing (6)
- Isotopes (2)
- Materials (4)
- Materials Science (8)
- Microscopy (1)
- Molten Salt (1)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (5)
- Nuclear Energy (13)
- Physics (2)
- Polymers (1)
- Quantum Computing (5)
- Simulation (4)
- Space Exploration (1)
- Summit (13)
- Sustainable Energy (2)
- Transformational Challenge Reactor (2)
Media Contacts
Five National Quantum Information Science Research Centers are leveraging the behavior of nature at the smallest scales to develop technologies for science’s most complex problems.
Travis Humble has been named director of the Quantum Science Center headquartered at ORNL. The QSC is a multi-institutional partnership that spans industry, academia and government institutions and is tasked with uncovering the full potential of quantum materials, sensors and algorithms.
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.
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 rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
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.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.
The inside of future nuclear fusion energy reactors will be among the harshest environments ever produced on Earth. What’s strong enough to protect the inside of a fusion reactor from plasma-produced heat fluxes akin to space shuttles reentering Earth’s atmosphere?