Filter News
Area of Research
- (-) National Security (24)
- Advanced Manufacturing (3)
- Biology and Environment (50)
- Biology and Soft Matter (1)
- Clean Energy (60)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (21)
- Fusion Energy (11)
- Isotopes (1)
- Materials (34)
- Materials for Computing (8)
- Mathematics (1)
- Neutron Science (66)
- Nuclear Science and Technology (15)
- Quantum information Science (8)
- Sensors and Controls (1)
- Supercomputing (48)
News Type
News Topics
- (-) Climate Change (5)
- (-) Coronavirus (2)
- (-) Fusion (1)
- (-) Grid (5)
- (-) Machine Learning (8)
- (-) Neutron Science (4)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Big Data (6)
- Bioenergy (3)
- Biology (4)
- Biomedical (1)
- Biotechnology (1)
- Buildings (1)
- Computer Science (12)
- Cybersecurity (11)
- Decarbonization (2)
- Energy Storage (1)
- Environment (4)
- High-Performance Computing (3)
- Materials (1)
- Materials Science (3)
- Nanotechnology (1)
- National Security (26)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (1)
- Security (7)
- Simulation (1)
- Summit (2)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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.
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.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
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.