Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (33)
- Clean Energy (39)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion Energy (1)
- Isotopes (2)
- Materials (36)
- Materials for Computing (3)
- Mathematics (1)
- National Security (11)
- Neutron Science (23)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Supercomputing (43)
News Type
News Topics
- (-) Artificial Intelligence (51)
- (-) Big Data (29)
- (-) Bioenergy (40)
- (-) Biomedical (29)
- (-) Clean Water (15)
- (-) Machine Learning (26)
- (-) Physics (28)
- (-) Summit (28)
- 3-D Printing/Advanced Manufacturing (83)
- Advanced Reactors (26)
- Biology (41)
- Biotechnology (11)
- Buildings (41)
- Chemical Sciences (49)
- Climate Change (50)
- Composites (21)
- Computer Science (106)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (21)
- Decarbonization (35)
- Education (3)
- Element Discovery (1)
- Energy Storage (78)
- Environment (90)
- Exascale Computing (14)
- Fossil Energy (2)
- Frontier (18)
- Fusion (27)
- Grid (40)
- High-Performance Computing (46)
- Hydropower (6)
- Irradiation (3)
- Isotopes (27)
- ITER (5)
- Materials (105)
- Materials Science (91)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Microscopy (29)
- Molten Salt (8)
- Nanotechnology (40)
- National Security (25)
- Net Zero (6)
- Neutron Science (85)
- Nuclear Energy (54)
- Partnerships (31)
- Polymers (22)
- Quantum Computing (16)
- Quantum Science (40)
- Renewable Energy (1)
- Security (13)
- Simulation (19)
- Software (1)
- Space Exploration (13)
- Statistics (2)
- Sustainable Energy (82)
- Transformational Challenge Reactor (4)
- Transportation (69)
Media Contacts
A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
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.
A research scientist with the Department of Energy’s Oak Ridge National Laboratory, Ayana Ghosh was named the 2024 Early Discovery Award winner by the American Ceramic Society. The award recognizes an early career member of the organization who has contributed to basic science in the field of glass and ceramics.
ORNL’s Joshua New was named the 2024 Researcher of the Year by R&D World magazine as part of its R&D 100 Professional Award winners.
A digital construction platform in development at Oak Ridge National Laboratory is boosting the retrofitting of building envelopes and giving builders the tools to automate the process from design to installation with the assistance of a cable-driven robotic crane.
DOE commissioned a neutron imaging instrument, VENUS, at the Spallation Neutron Source in July. VENUS instrument scientists will use AI to deliver 3D models to researchers in half the time it typically takes.
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.