Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (54)
- Clean Energy (63)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (30)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (70)
- Materials for Computing (14)
- National Security (21)
- Neutron Science (26)
- Nuclear Science and Technology (25)
- Quantum information Science (4)
- Supercomputing (122)
News Type
News Topics
- (-) Computer Science (150)
- (-) Frontier (42)
- (-) Microscopy (36)
- (-) Nanotechnology (42)
- (-) Nuclear Energy (83)
- (-) Polymers (20)
- (-) Summit (54)
- (-) Sustainable Energy (78)
- 3-D Printing/Advanced Manufacturing (88)
- Advanced Reactors (19)
- Artificial Intelligence (85)
- Big Data (37)
- Bioenergy (74)
- Biology (83)
- Biomedical (49)
- Biotechnology (20)
- Buildings (38)
- Chemical Sciences (60)
- Clean Water (17)
- Climate Change (74)
- Composites (19)
- Coronavirus (34)
- Critical Materials (16)
- Cybersecurity (31)
- Decarbonization (67)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (73)
- Environment (141)
- Exascale Computing (41)
- Fossil Energy (5)
- Fusion (47)
- Grid (42)
- High-Performance Computing (79)
- Hydropower (5)
- Isotopes (49)
- ITER (4)
- Machine Learning (36)
- Materials (106)
- Materials Science (102)
- Mathematics (7)
- Mercury (9)
- Microelectronics (4)
- Molten Salt (4)
- National Security (65)
- Net Zero (11)
- Neutron Science (105)
- Partnerships (50)
- Physics (55)
- Quantum Computing (34)
- Quantum Science (60)
- Renewable Energy (2)
- Security (24)
- Simulation (43)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Transformational Challenge Reactor (7)
- Transportation (52)
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.
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.
Researchers used quantum simulations to obtain new insights into the nature of neutrinos — the mysterious subatomic particles that abound throughout the universe — and their role in the deaths of massive stars.
Researchers at ORNL and the University of Maine have designed and 3D-printed a single-piece, recyclable natural-material floor panel tested to be strong enough to replace construction materials like steel.
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.
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.
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.
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.