Filter News
Area of Research
- (-) Fusion and Fission (26)
- (-) National Security (18)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (45)
- Biology and Soft Matter (1)
- Clean Energy (51)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Fusion Energy (7)
- Isotopes (4)
- Materials (33)
- Materials for Computing (6)
- Neutron Science (27)
- Nuclear Science and Technology (16)
- Quantum information Science (5)
- Supercomputing (91)
News Type
News Topics
- (-) Advanced Reactors (6)
- (-) Artificial Intelligence (13)
- (-) Biomedical (2)
- (-) Coronavirus (1)
- (-) Decarbonization (4)
- (-) Fusion (21)
- (-) Quantum Science (1)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (5)
- Big Data (4)
- Bioenergy (4)
- Biology (6)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (5)
- Climate Change (5)
- Composites (1)
- Computer Science (19)
- Cybersecurity (17)
- Energy Storage (4)
- Environment (6)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (2)
- Grid (6)
- High-Performance Computing (6)
- ITER (4)
- Machine Learning (12)
- Materials (3)
- Materials Science (7)
- Microscopy (1)
- Nanotechnology (2)
- National Security (33)
- Net Zero (1)
- Neutron Science (5)
- Nuclear Energy (30)
- Partnerships (7)
- Physics (2)
- Security (12)
- Simulation (4)
- Space Exploration (1)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
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.
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.
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.
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.
A new fusion record was announced February 9 in the United Kingdom: At the Joint European Torus, or JET, the team documented the generation of 59 megajoules of sustained fusion energy, more than doubling the
ORNL manages the Innovation Network for Fusion Energy Program, or INFUSE, with Princeton Plasma Physics Laboratory, to help the private sector find solutions to technical challenges that need to be resolved to make practical fusion energy a reality.
ORNL's Larry Baylor and Andrew Lupini have been elected fellows of the American Physical Society.