Filter News
Area of Research
- (-) National Security (34)
- (-) Neutron Science (25)
- (-) Quantum information Science (6)
- Advanced Manufacturing (22)
- Biology and Environment (40)
- Building Technologies (2)
- Clean Energy (111)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (29)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (61)
- Materials for Computing (11)
- Mathematics (1)
- Nuclear Science and Technology (39)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (122)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (8)
- (-) Computer Science (37)
- (-) Cybersecurity (21)
- (-) Frontier (2)
- (-) Nuclear Energy (7)
- (-) Simulation (1)
- (-) Space Exploration (3)
- Advanced Reactors (2)
- Artificial Intelligence (18)
- Big Data (8)
- Bioenergy (10)
- Biology (9)
- Biomedical (13)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (4)
- Clean Water (2)
- Climate Change (5)
- Composites (1)
- Coronavirus (10)
- Decarbonization (4)
- Energy Storage (8)
- Environment (13)
- Exascale Computing (1)
- Fossil Energy (1)
- Fusion (2)
- Grid (7)
- High-Performance Computing (6)
- Machine Learning (15)
- Materials (16)
- Materials Science (24)
- Mathematics (1)
- Microscopy (5)
- Nanotechnology (12)
- National Security (34)
- Neutron Science (99)
- Partnerships (4)
- Physics (11)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (17)
- Security (12)
- Summit (7)
- Sustainable Energy (5)
- Transportation (7)
Media Contacts
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
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.
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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
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.
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.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.