Filter News
Area of Research
- Advanced Manufacturing (5)
- Biology and Environment (15)
- Clean Energy (68)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (11)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (58)
- Materials for Computing (8)
- National Security (34)
- Neutron Science (103)
- Nuclear Science and Technology (11)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (80)
News Topics
- (-) Artificial Intelligence (91)
- (-) Cybersecurity (35)
- (-) Grid (62)
- (-) Neutron Science (130)
- (-) Quantum Science (67)
- (-) Space Exploration (25)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Big Data (53)
- Bioenergy (91)
- Biology (98)
- Biomedical (58)
- Biotechnology (22)
- Buildings (57)
- Chemical Sciences (63)
- Clean Water (29)
- Climate Change (99)
- Composites (26)
- Computer Science (186)
- Coronavirus (46)
- Critical Materials (25)
- Decarbonization (78)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (42)
- Fusion (53)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (52)
- ITER (7)
- Machine Learning (47)
- Materials (143)
- Materials Science (138)
- Mathematics (7)
- Mercury (12)
- Microelectronics (2)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (60)
- Net Zero (13)
- Nuclear Energy (106)
- Partnerships (42)
- Physics (59)
- Polymers (33)
- Quantum Computing (32)
- Renewable Energy (2)
- Security (24)
- Simulation (46)
- Software (1)
- Statistics (3)
- Summit (57)
- Sustainable Energy (125)
- Transformational Challenge Reactor (7)
- Transportation (95)
Media Contacts
![Caption: Participants gather for a group photo after discussing securing AI systems for critical national security data and applications. Photo by Liz Neunsinger/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Picture1.jpg?h=1758acef&itok=hu9V4GaE)
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.
![A team led by Oak Ridge National Laboratory researchers used Frontier to explore training strategies for one of the largest artificial intelligence models to date. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2024-05/OLCF_LLMstudy.jpg?h=ae114f5c&itok=x0_oxTc3)
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. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/unlockSolar_v3.jpg?h=d1cb525d&itok=OV12P9tQ)
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.
![Jiafu Mao, left, and Yaoping Wang discuss their analysis of urban and rural vegetation resilience across the United States in the EVEREST visualization lab at ORNL. Credit: Carlos Jones, ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/2024-P07278R.jpg?h=c6980913&itok=lVwfnfEq)
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
![ORNL researcher Felicia Gilliland loads experiment samples into position for the newly installed UR5E robotic arm at the BIO-SANS instrument. The industrial-grade robot changes samples automatically, reducing the need for human assistance and improving sample throughput. Credit: Jeremy Rumsey/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Picture3.jpg?h=d83e8acc&itok=toBATwfl)
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.
![A newly completed tunnel section will provide the turning and connecting point for the Spallation Neutron Source particle accelerator and the planned Second Target Station. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/thumbnail_Tunnel%20extension%20for%20main%20image--needs%20cropping.jpg?h=e5aec6c8&itok=keUV4vqa)
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.
![The AI for Energy Report provides a framework for using AI to accelerate decarbonization of the U.S. economy. Credit: Argonne National Laboratory](/sites/default/files/styles/list_page_thumbnail/public/2024-05/CLS_AI-for-Energy-Workshop-Report_1600x900_shutterstock_209822020_R2.jpg?h=748c0655&itok=uYkfSuJp)
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.
![The transportation and industrial sectors together account for more than 50% of the country’s carbon footprint. Defossilization could help reduce new emissions from these and other difficult-to-electrify segments of the U.S. economy.](/sites/default/files/styles/list_page_thumbnail/public/2024-05/GettyImages-887377090%20%281%29.jpg?h=73e7f248&itok=QYmqPfWv)
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
![Chengyun Hua](/sites/default/files/styles/list_page_thumbnail/public/2024-04/2017-P03617.jpg?h=49ab6177&itok=WXc1E3-9)
The Quantum Voices series is designed to share the stories of the quantum researchers and technical experts behind the Quantum Science Center’s past, present and future accomplishments. Chengyun Hua is highlighted for this edition, talking about her role in the Quantum Science Center.
![ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S. Credit: Andy Sproles/ ORNL,U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-04/hurricanSolar_v1.jpg?h=d2fcd49e&itok=p12nhk7c)
ORNL researchers modeled how hurricane cloud cover would affect solar energy generation as a storm followed 10 possible trajectories over the Caribbean and Southern U.S.