Filter News
Area of Research
- (-) Functional Materials for Energy (2)
- (-) National Security (25)
- Advanced Manufacturing (24)
- Biology and Environment (61)
- Building Technologies (5)
- Clean Energy (211)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Energy Sciences (2)
- Fusion and Fission (12)
- Fusion Energy (4)
- Isotopes (2)
- Materials (109)
- Materials for Computing (18)
- Mathematics (1)
- Neutron Science (35)
- Nuclear Science and Technology (9)
- Quantum information Science (7)
- Supercomputing (126)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Buildings (2)
- (-) Computer Science (19)
- (-) Energy Storage (4)
- (-) Frontier (2)
- (-) Physics (1)
- (-) Sustainable Energy (4)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Big Data (6)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Chemical Sciences (2)
- Climate Change (5)
- Coronavirus (2)
- Cybersecurity (19)
- Decarbonization (3)
- Environment (6)
- Exascale Computing (1)
- Fusion (1)
- Grid (7)
- High-Performance Computing (5)
- Machine Learning (13)
- Materials (4)
- Materials Science (4)
- Nanotechnology (1)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (4)
- Quantum Science (1)
- Security (11)
- Simulation (2)
- Summit (2)
- Transportation (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
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 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.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
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.
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
Materials scientist and chemist Nancy Dudney has been elected to the National Academy of Engineering for her groundbreaking research and development of high-performance solid-state rechargeable batteries.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
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