Filter News
Area of Research
- (-) National Security (14)
- Advanced Manufacturing (1)
- Biology and Environment (26)
- Clean Energy (64)
- Computational Biology (1)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (12)
- Fusion Energy (4)
- Isotopes (4)
- Materials (39)
- Materials for Computing (7)
- Neutron Science (38)
- Nuclear Science and Technology (11)
- Quantum information Science (1)
- Supercomputing (32)
News Topics
- (-) Big Data (4)
- (-) Biomedical (2)
- (-) Energy Storage (2)
- (-) Neutron Science (4)
- (-) Security (6)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (4)
- Bioenergy (2)
- Biology (4)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (12)
- Coronavirus (2)
- Cybersecurity (8)
- Decarbonization (1)
- Environment (2)
- Exascale Computing (1)
- Frontier (1)
- Grid (4)
- High-Performance Computing (1)
- Machine Learning (5)
- Materials (1)
- Materials Science (3)
- Nanotechnology (1)
- National Security (15)
- Nuclear Energy (1)
- Partnerships (1)
- Physics (1)
- Simulation (1)
- Summit (2)
Media Contacts
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
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.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
Horizon31, LLC has exclusively licensed a novel communication system that allows users to reliably operate unmanned vehicles such as drones from anywhere in the world using only an internet connection.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.