Filter News
Area of Research
- (-) Fusion Energy (10)
- (-) Isotope Development and Production (1)
- (-) Mathematics (1)
- (-) National Security (29)
- Advanced Manufacturing (10)
- Biological Systems (2)
- Biology and Environment (83)
- Building Technologies (2)
- Clean Energy (148)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (15)
- Isotopes (2)
- Materials (113)
- Materials Characterization (1)
- Materials for Computing (22)
- Materials Under Extremes (1)
- Neutron Science (39)
- Nuclear Science and Technology (15)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (144)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (8)
- (-) Bioenergy (3)
- (-) Computer Science (22)
- (-) Frontier (2)
- (-) Grid (6)
- (-) Materials Science (6)
- (-) Summit (3)
- (-) Sustainable Energy (5)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (12)
- Big Data (6)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (6)
- Coronavirus (2)
- Cybersecurity (19)
- Decarbonization (2)
- Energy Storage (2)
- Environment (6)
- Exascale Computing (1)
- Fusion (16)
- High-Performance Computing (4)
- Irradiation (1)
- Machine Learning (12)
- Materials (3)
- Mathematics (1)
- Nanotechnology (1)
- National Security (35)
- Neutron Science (4)
- Nuclear Energy (16)
- Partnerships (5)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Space Exploration (1)
- Transportation (2)
Media Contacts
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.
Cameras see the world differently than humans. Resolution, equipment, lighting, distance and atmospheric conditions can impact how a person interprets objects on a photo.
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 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.
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.