Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (2)
- Biology and Environment (48)
- Clean Energy (84)
- Computational Biology (2)
- Computer Science (2)
- Electricity and Smart Grid (2)
- Fusion and Fission (2)
- Isotopes (4)
- Materials (20)
- Materials for Computing (5)
- National Security (9)
- Neutron Science (11)
- Nuclear Science and Technology (1)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (19)
- Transportation Systems (2)
News Type
News Topics
- (-) Bioenergy (67)
- (-) Biomedical (40)
- (-) Composites (17)
- (-) Emergency (2)
- (-) Grid (46)
- (-) Transportation (62)
- 3-D Printing/Advanced Manufacturing (72)
- Advanced Reactors (21)
- Artificial Intelligence (61)
- Big Data (43)
- Biology (78)
- Biotechnology (14)
- Buildings (38)
- Chemical Sciences (35)
- Clean Water (27)
- Climate Change (72)
- Computer Science (126)
- Coronavirus (28)
- Critical Materials (15)
- Cybersecurity (17)
- Decarbonization (55)
- Education (1)
- Energy Storage (60)
- Environment (147)
- Exascale Computing (27)
- Fossil Energy (5)
- Frontier (25)
- Fusion (40)
- High-Performance Computing (55)
- Hydropower (11)
- Irradiation (2)
- Isotopes (32)
- ITER (5)
- Machine Learning (33)
- Materials (78)
- Materials Science (79)
- Mathematics (9)
- Mercury (10)
- Microelectronics (2)
- Microscopy (31)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (42)
- Net Zero (10)
- Neutron Science (74)
- Nuclear Energy (74)
- Partnerships (19)
- Physics (33)
- Polymers (17)
- Quantum Computing (25)
- Quantum Science (40)
- Renewable Energy (1)
- Security (12)
- Simulation (39)
- Software (1)
- Space Exploration (22)
- Statistics (2)
- Summit (36)
- Sustainable Energy (92)
- Transformational Challenge Reactor (3)
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.
Brian Sanders is focused on impactful, multidisciplinary science at Oak Ridge National Laboratory, developing solutions for everything from improved imaging of plant-microbe interactions that influence ecosystem health to advancing new treatments for cancer and viral infections.
Brittany Rodriguez never imagined she would pursue a science career at a Department of Energy national laboratory. However, after some encouraging words from her mother, input from key mentors at the University of Texas Rio Grande Valley, or UTRGV, and a lot of hard work, Rodriguez landed at DOE’s Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory.
Researchers at Oak Ridge National Laboratory have opened a new virtual library where visitors can check out waveforms instead of books. So far, more than 350 users worldwide have utilized the library, which provides vital understanding of an increasingly complex grid.
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
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.