Filter News
Area of Research
- (-) Biology and Environment (16)
- (-) National Security (14)
- Advanced Manufacturing (1)
- Clean Energy (11)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion Energy (1)
- Materials (6)
- Materials for Computing (1)
- Neutron Science (8)
- Supercomputing (52)
News Topics
- (-) Machine Learning (19)
- (-) Summit (12)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (2)
- Artificial Intelligence (21)
- Big Data (15)
- Bioenergy (46)
- Biology (74)
- Biomedical (17)
- Biotechnology (13)
- Buildings (3)
- Chemical Sciences (12)
- Clean Water (11)
- Climate Change (43)
- Composites (5)
- Computer Science (36)
- Coronavirus (15)
- Critical Materials (1)
- Cybersecurity (19)
- Decarbonization (20)
- Energy Storage (8)
- Environment (91)
- Exascale Computing (5)
- Frontier (4)
- Fusion (2)
- Grid (9)
- High-Performance Computing (24)
- Hydropower (8)
- Isotopes (2)
- Materials (13)
- Materials Science (9)
- Mathematics (3)
- Mercury (7)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (35)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (6)
- Partnerships (8)
- Physics (3)
- Polymers (2)
- Quantum Science (1)
- Renewable Energy (1)
- Security (12)
- Simulation (14)
- Sustainable Energy (32)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
As part of a multi-institutional research project, scientists at ORNL leveraged their computational systems biology expertise and the largest, most diverse set of health data to date to explore the genetic basis of varicose veins.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
Over the past seven years, researchers in ORNL’s Geospatial Science and Human Security Division have mapped and characterized all structures within the United States and its territories to aid FEMA in its response to disasters. This dataset provides a consistent, nationwide accounting of the buildings where people reside and work.
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.
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.
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.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
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.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet