
Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (79)
- (-) Clean Water (17)
- (-) Composites (12)
- (-) Cybersecurity (14)
- (-) Grid (34)
- (-) Nuclear Energy (71)
- (-) Physics (39)
- 3-D Printing/Advanced Manufacturing (60)
- Advanced Reactors (13)
- Big Data (50)
- Bioenergy (70)
- Biology (82)
- Biomedical (44)
- Biotechnology (26)
- Buildings (35)
- Chemical Sciences (37)
- Computer Science (117)
- Coronavirus (20)
- Critical Materials (6)
- Education (2)
- Emergency (3)
- Energy Storage (37)
- Environment (124)
- Exascale Computing (51)
- Fossil Energy (6)
- Frontier (45)
- Fusion (40)
- High-Performance Computing (82)
- Hydropower (6)
- Isotopes (35)
- ITER (4)
- Machine Learning (40)
- Materials (53)
- Materials Science (64)
- Mathematics (9)
- Mercury (7)
- Microelectronics (3)
- Microscopy (27)
- Molten Salt (2)
- Nanotechnology (21)
- National Security (63)
- Neutron Science (85)
- Partnerships (36)
- Polymers (12)
- Quantum Computing (35)
- Quantum Science (49)
- Security (18)
- Simulation (44)
- Software (1)
- Space Exploration (13)
- Statistics (2)
- Summit (40)
- Transportation (35)
Media Contacts

The Powerline Conductor Accelerated Testing Facility at ORNL is testing new transmission line technologies to enhance the U.S. power grid's capacity amidst rising demand and climate challenges.

Aditya Sundararajan of ORNL’s Grid Systems Architecture group was elevated to senior status within the Institute of Electrical and Electronics Engineers.

Researchers used the Summit supercomputer at ORNL to answer one of fission’s big questions: What exactly happens during the nucleus’s “neck rupture” as it splits in two? Scission neutrons have been theorized to be among those particles emitted during neck rupture, although their exact characteristics have been debated due to a lack of conclusive experimental evidence of their existence.

Researchers led by the University of Melbourne, Australia, have been nominated for the Association for Computing Machinery’s 2024 Gordon Bell Prize in supercomputing for conducting a quantum molecular dynamics simulation 1,000 times greater in size and speed than any previous simulation of its kind.

The Advanced Plant Phenotyping Laboratory at ORNL utilizes robotics, multi-modal imaging, and AI to enhance understanding of plant genetics and interactions with microbes. It aims to connect genes to traits for advancements in bioenergy, agriculture, and climate resilience. Senior scientist Larry York highlights the lab's capabilities and the insights from a new digital underground imaging system to improve biomass feedstocks for bioenergy and carbon storage.

To bridge the gap between experimental facilities and supercomputers, experts from SLAC National Accelerator Laboratory are teaming up with other DOE national laboratories to build a new data streaming pipeline. The pipeline will allow researchers to send their data to the nation’s leading computing centers for analysis in real time even as their experiments are taking place.

ORNL researchers were honored with a prestigious ACE Award for Composites Excellence by the American Composites Manufacturers Association. The team won the “innovation in green composites design” prize for creating a fully recyclable, lightweight wind turbine blade tip that incorporates low-cost carbon fiber and conductive coating for enhanced protection against lightning strikes.

Prasanna Balprakash, director of AI programs for ORNL, discussed advancing climate and weather research through high performance computing and artificial intelligence as part of a September 18 panel for the United States Senate.

The Smoky Mountain Computational Sciences and Engineering Conference, or SMC24, entered its third decade with the 21st annual gathering in East Tennessee.

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.