Filter News
Area of Research
- (-) National Security (27)
- Advanced Manufacturing (2)
- Biological Systems (2)
- Biology and Environment (134)
- Biology and Soft Matter (1)
- Clean Energy (169)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotopes (2)
- Materials (88)
- Materials for Computing (12)
- Mathematics (1)
- Neutron Science (34)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (89)
News Topics
- (-) Bioenergy (3)
- (-) Energy Storage (2)
- (-) Environment (5)
- (-) Grid (6)
- (-) Machine Learning (12)
- (-) Nanotechnology (1)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (19)
- Coronavirus (2)
- Cybersecurity (19)
- Decarbonization (2)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Materials (2)
- Materials Science (3)
- National Security (35)
- Neutron Science (4)
- Nuclear Energy (5)
- Partnerships (5)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
Although blockchain is best known for securing digital currency payments, researchers at the Department of Energy’s Oak Ridge National Laboratory are using it to track a different kind of exchange: It’s the first time blockchain has ever been used to validate communication among devices on the electric grid.
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.
In human security research, Thomaz Carvalhaes says, there are typically two perspectives: technocentric and human centric. Rather than pick just one for his work, Carvalhaes uses data from both perspectives to understand how technology impacts the lives of people.
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.
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