Filter News
Area of Research
- (-) Fusion and Fission (14)
- (-) Materials for Computing (20)
- (-) National Security (27)
- Advanced Manufacturing (8)
- Biological Systems (1)
- Biology and Environment (68)
- Building Technologies (2)
- Clean Energy (173)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Energy Sciences (2)
- Functional Materials for Energy (2)
- Fusion Energy (2)
- Isotopes (7)
- Materials (123)
- Neutron Science (108)
- Nuclear Science and Technology (8)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (95)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (13)
- (-) Biomedical (5)
- (-) Energy Storage (10)
- (-) Exascale Computing (2)
- (-) Microscopy (5)
- (-) Nanotechnology (9)
- (-) Neutron Science (10)
- (-) Security (13)
- (-) Sustainable Energy (11)
- (-) Transportation (9)
- 3-D Printing/Advanced Manufacturing (9)
- Advanced Reactors (7)
- Big Data (6)
- Bioenergy (4)
- Biology (6)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (10)
- Climate Change (5)
- Composites (2)
- Computer Science (26)
- Coronavirus (5)
- Critical Materials (1)
- Cybersecurity (19)
- Decarbonization (4)
- Environment (8)
- Fossil Energy (1)
- Frontier (2)
- Fusion (23)
- Grid (8)
- High-Performance Computing (6)
- Isotopes (2)
- ITER (6)
- Machine Learning (12)
- Materials (13)
- Materials Science (21)
- National Security (35)
- Net Zero (1)
- Nuclear Energy (31)
- Partnerships (7)
- Physics (2)
- Polymers (6)
- Quantum Computing (1)
- Quantum Science (4)
- Simulation (4)
- Space Exploration (1)
- Summit (3)
Media Contacts
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.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.
Drilling with the beam of an electron microscope, scientists at ORNL precisely machined tiny electrically conductive cubes that can interact with light and organized them in patterned structures that confine and relay light’s electromagnetic signal.
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.