Filter News
Area of Research
- Biology and Environment (31)
- Biology and Soft Matter (1)
- Clean Energy (21)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (17)
- Fusion Energy (4)
- Isotopes (17)
- Materials (16)
- Materials for Computing (2)
- National Security (15)
- Neutron Science (5)
- Nuclear Science and Technology (18)
- Supercomputing (35)
News Type
News Topics
- (-) Climate Change (52)
- (-) Coronavirus (17)
- (-) Cybersecurity (14)
- (-) Frontier (27)
- (-) Isotopes (31)
- (-) Mathematics (7)
- (-) Molten Salt (1)
- (-) Nuclear Energy (56)
- (-) Space Exploration (12)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (8)
- Artificial Intelligence (51)
- Big Data (30)
- Bioenergy (51)
- Biology (61)
- Biomedical (32)
- Biotechnology (12)
- Buildings (23)
- Chemical Sciences (28)
- Clean Water (15)
- Composites (8)
- Computer Science (89)
- Critical Materials (5)
- Decarbonization (47)
- Education (2)
- Emergency (2)
- Energy Storage (30)
- Environment (105)
- Exascale Computing (31)
- Fossil Energy (4)
- Fusion (31)
- Grid (26)
- High-Performance Computing (49)
- Hydropower (5)
- ITER (2)
- Machine Learning (23)
- Materials (46)
- Materials Science (49)
- Mercury (7)
- Microelectronics (3)
- Microscopy (20)
- Nanotechnology (16)
- National Security (47)
- Net Zero (8)
- Neutron Science (54)
- Partnerships (21)
- Physics (31)
- Polymers (8)
- Quantum Computing (23)
- Quantum Science (32)
- Renewable Energy (1)
- Security (12)
- Simulation (34)
- Software (1)
- Statistics (1)
- Summit (33)
- Sustainable Energy (48)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
SCALE users from 85 organizations across 21 countries gathered online and in person at Oak Ridge National Laboratory from June 5 to June 7 for the Eighth Annual SCALE Users Group Workshop. The meeting included 32 presentations and 14 hands-on tutorials on impactful and innovative applications of SCALE.
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.
Sara Martinez ensures the safety and longevity of aging structures at Oak Ridge National Laboratory, employing her engineering expertise to protect against natural disasters and extend the lifespan of critical facilities.
When Oak Ridge National Laboratory's science mission takes staff off-campus, the lab’s safety principles follow. That’s true even in the high mountain passes of Washington and Oregon, where ORNL scientists are tracking a tree species — and where wildfires have become more frequent and widespread.
Early career scientist Frankie White's was part of two major isotope projects at the same time he was preparing to be a father. As co-lead on a team that achieved the first synthesis and characterization of a radium compound using single crystal X-ray diffraction and part of a team that characterized the properties of promethium, White reflects on the life-changing timeline at work, and at home.
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
Researchers set a new benchmark for future experiments making materials in space rather than for space. They discovered that many kinds of glass have similar atomic structure and arrangements and can successfully be made in space. Scientists from nine institutions in government, academia and industry participated in this 5-year study.
Students from the first class of ORNL and Pellissippi State Community College's joint Chemical Radiation Technology Pathway toured isotope facilities at ORNL.
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.