Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (5)
- (-) Coronavirus (1)
- (-) Exascale Computing (1)
- (-) Frontier (2)
- (-) Machine Learning (4)
- (-) Sustainable Energy (1)
- 3-D Printing/Advanced Manufacturing (1)
- Big Data (2)
- Bioenergy (2)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (8)
- Cybersecurity (5)
- Decarbonization (2)
- Energy Storage (3)
- Environment (2)
- Grid (3)
- High-Performance Computing (1)
- Materials (4)
- Materials Science (2)
- National Security (13)
- Neutron Science (10)
- Partnerships (1)
- Physics (2)
- Quantum Science (1)
- Security (4)
- Simulation (1)
- Space Exploration (1)
- Summit (1)
Media Contacts
Paul Langan will join ORNL in the spring as associate laboratory director for the Biological and Environmental Systems Science Directorate.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
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.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.