Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (35)
- Biology and Soft Matter (1)
- Clean Energy (27)
- Computational Biology (1)
- Computational Engineering (1)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotopes (5)
- Materials (42)
- Materials for Computing (7)
- National Security (7)
- Neutron Science (13)
- Nuclear Science and Technology (7)
- Supercomputing (50)
News Type
News Topics
- (-) Advanced Reactors (19)
- (-) Big Data (37)
- (-) Biomedical (49)
- (-) Chemical Sciences (60)
- (-) Frontier (42)
- (-) Mathematics (7)
- (-) Polymers (20)
- 3-D Printing/Advanced Manufacturing (88)
- Artificial Intelligence (85)
- Bioenergy (74)
- Biology (83)
- Biotechnology (20)
- Buildings (38)
- Clean Water (17)
- Climate Change (74)
- Composites (19)
- Computer Science (150)
- 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)
- Mercury (9)
- Microelectronics (4)
- Microscopy (36)
- Molten Salt (4)
- Nanotechnology (42)
- National Security (65)
- Net Zero (11)
- Neutron Science (105)
- Nuclear Energy (83)
- Partnerships (50)
- Physics (55)
- Quantum Computing (34)
- Quantum Science (60)
- Renewable Energy (2)
- Security (24)
- Simulation (43)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (54)
- Sustainable Energy (78)
- Transformational Challenge Reactor (7)
- Transportation (52)
Media Contacts
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.
A newly established internship between ORNL and Maryville College is bringing cybersecurity careers to a local liberal arts college. The internship was established by a Maryville College alumni who recently joined ORNL.
In the wet, muddy places where America’s rivers and lands meet the sea, scientists from the Department of Energy’s Oak Ridge National Laboratory are unearthing clues to better understand how these vital landscapes are evolving under climate change.
ORNL's Guang Yang and Andrew Westover have been selected to join the first cohort of DOE’s Advanced Research Projects Agency-Energy Inspiring Generations of New Innovators to Impact Technologies in Energy 2024 program. The program supports early career scientists and engineers in their work to convert disruptive ideas into impactful energy technologies.
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.
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.
Scientists have uncovered the properties of a rare earth element that was first discovered 80 years ago at the very same laboratory, opening a new pathway for the exploration of elements critical in modern technology, from medicine to space travel.
Researchers tackling national security challenges at ORNL are upholding an 80-year legacy of leadership in all things nuclear. Today, they’re developing the next generation of technologies that will help reduce global nuclear risk and enable safe, secure, peaceful use of nuclear materials, worldwide.
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.