Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (13)
- Clean Energy (33)
- Computational Biology (1)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (3)
- Materials (34)
- Materials for Computing (6)
- National Security (15)
- Neutron Science (16)
- Nuclear Science and Technology (16)
- Quantum information Science (2)
- Supercomputing (32)
News Type
News Topics
- (-) Artificial Intelligence (48)
- (-) Cybersecurity (14)
- (-) Energy Storage (29)
- (-) Materials Science (46)
- (-) Microscopy (20)
- (-) Nanotechnology (16)
- (-) Nuclear Energy (55)
- (-) Polymers (8)
- (-) Space Exploration (12)
- 3-D Printing/Advanced Manufacturing (42)
- Advanced Reactors (8)
- Big Data (27)
- Bioenergy (51)
- Biology (60)
- Biomedical (29)
- Biotechnology (11)
- Buildings (19)
- Chemical Sciences (25)
- Clean Water (14)
- Climate Change (50)
- Composites (8)
- Computer Science (87)
- Coronavirus (17)
- Critical Materials (4)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Environment (104)
- Exascale Computing (27)
- Fossil Energy (4)
- Frontier (25)
- Fusion (31)
- Grid (25)
- High-Performance Computing (45)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Mathematics (7)
- Mercury (7)
- Microelectronics (2)
- Molten Salt (1)
- National Security (39)
- Net Zero (8)
- Neutron Science (47)
- Partnerships (18)
- Physics (29)
- Quantum Computing (21)
- Quantum Science (30)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Statistics (1)
- Summit (31)
- Sustainable Energy (47)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
ORNL researchers and communications specialists took part in the inaugural AI Expo for National Competitiveness in Washington D.C, May 7 and 8, to showcase and provide insight into how the lab is leading the way for utilizing the vast possibilities of AI.
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.
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.
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
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
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.
The BIO-SANS instrument, located at Oak Ridge National Laboratory’s High Flux Isotope Reactor, is the latest neutron scattering instrument to be retrofitted with state-of-the-art robotics and custom software. The sophisticated upgrade quadruples the number of samples the instrument can measure automatically and significantly reduces the need for human assistance.
The new section of tunnel will provide the turning and connecting point for the accelerator beamline between the existing particle accelerator at ORNL’s Spallation Neutron Source and the planned Second Target Station, or STS. When complete, the PPU project will increase accelerator power up to 2.8 megawatts from its current record-breaking 1.7 megawatts of beam power.