Filter News
Area of Research
News Type
News Topics
- (-) Clean Water (14)
- (-) Grid (25)
- (-) Machine Learning (22)
- (-) Microscopy (20)
- (-) Sustainable Energy (47)
- 3-D Printing/Advanced Manufacturing (42)
- Advanced Reactors (8)
- Artificial Intelligence (48)
- Big Data (27)
- Bioenergy (51)
- Biology (60)
- Biomedical (29)
- Biotechnology (12)
- Buildings (20)
- Chemical Sciences (26)
- Climate Change (50)
- Composites (8)
- Computer Science (87)
- Coronavirus (17)
- Critical Materials (4)
- Cybersecurity (14)
- Decarbonization (46)
- Education (1)
- Emergency (2)
- Energy Storage (29)
- Environment (104)
- Exascale Computing (27)
- Fossil Energy (4)
- Frontier (25)
- Fusion (31)
- High-Performance Computing (45)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Materials (43)
- Materials Science (46)
- Mathematics (7)
- Mercury (7)
- Microelectronics (2)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (40)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (55)
- Partnerships (19)
- Physics (30)
- Polymers (8)
- Quantum Computing (21)
- Quantum Science (30)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Summit (31)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
Two ORNL teams recently completed Cohort 18 of Energy I-Corps, an immersive two-month training program where the scientists define their technology’s value propositions, conduct stakeholder discovery interviews and develop viable market pathways.
Power companies and electric grid developers turn to simulation tools as they attempt to understand how modern equipment will be affected by rapidly unfolding events in a complex grid.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
Researcher Rocio Uria-Martinez was named one of four “Women with Hydro Vision” at this year’s HYDROVISION International 2024 conference taking place in Denver this week. Awarded by a committee of industry peers, the honor recognizes women who use their unique talents and vision to improve and advance the worldwide hydropower industry.
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.
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.
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.