Filter News
Area of Research
News Topics
- (-) Clean Water (1)
- (-) Grid (1)
- (-) Machine Learning (4)
- (-) Nuclear Energy (3)
- (-) Quantum Science (7)
- (-) Summit (9)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (7)
- Bioenergy (3)
- Biology (3)
- Biomedical (5)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (3)
- Computer Science (21)
- Coronavirus (6)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (2)
- Environment (4)
- Exascale Computing (3)
- Frontier (3)
- High-Performance Computing (5)
- Isotopes (1)
- Materials (6)
- Materials Science (12)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (4)
- National Security (1)
- Neutron Science (7)
- Physics (5)
- Quantum Computing (5)
- Security (1)
- Simulation (3)
- Sustainable Energy (1)
- Transformational Challenge Reactor (2)
Media Contacts
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge National Laboratory.
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.
Researchers at ORNL are tackling a global water challenge with a unique material designed to target not one, but two toxic, heavy metal pollutants for simultaneous removal.
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 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.
There are more than 17 million veterans in the United States, and approximately half rely on the Department of Veterans Affairs for their healthcare.