Filter News
Area of Research
- Advanced Manufacturing (4)
- Biological Systems (3)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Chemical and Engineering Materials (2)
- Chemistry and Physics at Interfaces (6)
- Clean Energy (42)
- Computational Chemistry (1)
- Energy Frontier Research Centers (7)
- Functional Materials for Energy (6)
- Fusion and Fission (1)
- Fusion Energy (1)
- Geographic Information Science and Technology (2)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (40)
- Materials Synthesis from Atoms to Systems (5)
- Materials Under Extremes (6)
- National Security (1)
- Neutron Data Analysis and Visualization (2)
- Neutron Science (11)
- Nuclear Science and Technology (6)
- Quantum Condensed Matter (2)
- Reactor Technology (1)
- Supercomputing (20)
- Transportation Systems (2)
News Type
Date
News Topics
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (2)
- Artificial Intelligence (16)
- Big Data (5)
- Bioenergy (7)
- Biology (9)
- Biomedical (5)
- Biotechnology (4)
- Buildings (10)
- Chemical Sciences (8)
- Clean Water (3)
- Climate Change (14)
- Composites (3)
- Computer Science (15)
- Critical Materials (3)
- Decarbonization (14)
- Emergency (1)
- Energy Storage (6)
- Environment (16)
- Exascale Computing (4)
- Fossil Energy (2)
- Frontier (5)
- Fusion (5)
- Grid (4)
- High-Performance Computing (12)
- Isotopes (5)
- ITER (1)
- Machine Learning (6)
- Materials (10)
- Materials Science (10)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (2)
- National Security (11)
- Net Zero (3)
- Neutron Science (8)
- Nuclear Energy (9)
- Partnerships (8)
- Physics (2)
- Polymers (3)
- Quantum Computing (6)
- Quantum Science (8)
- Security (2)
- Simulation (10)
- Space Exploration (4)
- Statistics (2)
- Summit (4)
- Sustainable Energy (11)
- Transportation (8)
Media Contacts
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
When scientists pushed the world’s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms — the largest system ever modeled and more than 400 times the size of the closest competition.
ORNL researchers have produced the most comprehensive power outage dataset ever compiled for the United States. This dataset, showing electricity outages from 2014-22 in the 50 U.S. states, Washington D.C. and Puerto Rico, details outages at 15-minute intervals for up to 92% of customers for the eight-year period.
Joseph Chapman, a research scientist in quantum communications at ORNL, was given the Physical Review Applied Reviewer Excellence 2024 award for his work as a peer reviewer for the journal Physical Review Applied.
ORNL researchers have teamed up with other national labs to develop a free platform called Open Energy Data Initiative Solar Systems Integration Data and Modeling to better analyze the behavior of electric grids incorporating many solar projects.
Four ORNL researchers traveled to Warsaw, Poland, during the first week of April to support the opening of Poland’s first Clean Energy Training Center, a regional hub dedicated to providing workforce development and training to expand new nuclear capacity in Central Europe.
ORNL scientists are working on a project to engineer and develop a cryogenic ion trap apparatus to simulate quantum spin liquids, a key research area in materials science and neutron scattering studies.
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
Howard Wilson explores how to accelerate the delivery of fusion energy as Fusion Pilot Plant R&D lead at ORNL. Wilson envisions a fusion hub with ORNL at the center, bringing together the lab's unique expertise and capabilities with domestic and international partnerships to realize the potential of fusion energy.
Rigoberto “Gobet” Advincula, a leader in advanced materials, polymers and nanomaterials with joint appointments at ORNL and the University of Tennessee, has been named to the U.S. National Academies of Sciences, Engineering and Medicine’s Board on Chemical Sciences and Technology.