Filter News
Area of Research
- (-) Fusion and Fission (11)
- (-) Fusion Energy (9)
- (-) National Security (40)
- Advanced Manufacturing (24)
- Biology and Environment (64)
- Building Technologies (3)
- Clean Energy (163)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Isotopes (1)
- Materials (64)
- Materials for Computing (17)
- Mathematics (1)
- Neutron Science (29)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (126)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (6)
- (-) Advanced Reactors (14)
- (-) Computer Science (23)
- (-) Coronavirus (2)
- (-) Cybersecurity (19)
- (-) Frontier (3)
- (-) Security (13)
- (-) Sustainable Energy (9)
- Artificial Intelligence (13)
- Big Data (6)
- Bioenergy (4)
- Biology (6)
- Biomedical (3)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (6)
- Climate Change (5)
- Composites (1)
- Critical Materials (1)
- Decarbonization (4)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (2)
- Fossil Energy (1)
- Fusion (35)
- Grid (8)
- High-Performance Computing (6)
- Isotopes (1)
- ITER (6)
- Machine Learning (12)
- Materials (4)
- Materials Science (9)
- Microscopy (1)
- Nanotechnology (2)
- National Security (34)
- Net Zero (1)
- Neutron Science (5)
- Nuclear Energy (40)
- Partnerships (7)
- Physics (2)
- Quantum Science (1)
- Simulation (4)
- Space Exploration (1)
- Summit (3)
- Transportation (4)
Media Contacts
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.
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
To achieve practical energy from fusion, extreme heat from the fusion system “blanket” component must be extracted safely and efficiently. ORNL fusion experts are exploring how tiny 3D-printed obstacles placed inside the narrow pipes of a custom-made cooling system could be a solution for removing heat from the blanket.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
ORNL and the Tennessee Valley Authority, or TVA, are joining forces to advance decarbonization technologies from discovery through deployment through a new memorandum of understanding, or MOU.
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.