
Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (22)
- Computational Engineering (1)
- Computer Science (2)
- Energy Science (33)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (14)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (17)
- Materials for Computing (2)
- National Security (18)
- Neutron Science (8)
- Nuclear Science and Technology (10)
- Quantum information Science (1)
- Supercomputing (46)
News Type
News Topics
- (-) Clean Water (9)
- (-) Computer Science (77)
- (-) Grid (23)
- (-) High-Performance Computing (43)
- (-) Machine Learning (23)
- (-) Nuclear Energy (44)
- 3-D Printing/Advanced Manufacturing (61)
- Advanced Reactors (14)
- Artificial Intelligence (44)
- Big Data (20)
- Bioenergy (48)
- Biology (53)
- Biomedical (30)
- Biotechnology (17)
- Buildings (25)
- Chemical Sciences (44)
- Composites (15)
- Coronavirus (23)
- Critical Materials (13)
- Cybersecurity (23)
- Education (3)
- Element Discovery (1)
- Energy Storage (56)
- Environment (78)
- Exascale Computing (16)
- Fossil Energy (1)
- Frontier (19)
- Fusion (26)
- Hydropower (2)
- Isotopes (33)
- ITER (3)
- Materials (69)
- Materials Science (71)
- Mathematics (5)
- Mercury (6)
- Microelectronics (1)
- Microscopy (28)
- Molten Salt (3)
- Nanotechnology (35)
- National Security (35)
- Neutron Science (64)
- Partnerships (33)
- Physics (42)
- Polymers (18)
- Quantum Computing (14)
- Quantum Science (36)
- Security (19)
- Simulation (18)
- Space Exploration (3)
- Statistics (1)
- Summit (24)
- Transportation (38)
Media Contacts

A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.

As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance.

Researchers for the first time documented the specific chemistry dynamics and structure of high-temperature liquid uranium trichloride salt, a potential nuclear fuel source for next-generation reactors.

A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.

Debjani Singh, a senior scientist at ORNL, leads the HydroSource project, which enhances hydropower research by making water data more accessible and useful. With a background in water resources, data science, and earth science, Singh applies innovative tools like AI to advance research. Her career, shaped by her early exposure to science in India, focuses on bridging research with practical applications.

Prasanna Balaprakash, director of AI programs at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.

To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.

Andrew Conant from ORNL's nuclear nonproliferation division is collaborating with national laboratories to analyze isotopes generated in nuclear reactors. This research aims to glean insights into the operations and objectives of these reactors. ORNL, renowned for its leadership in nuclear research, maintains its legacy by promoting the peaceful utilization of nuclear energy worldwide.

ORNL researchers completed successful testing of a gallium nitride transistor for use in more accurate sensors operating near the core of a nuclear reactor. This is an important technical advance particularly for monitoring new, compact.