Filter News
Area of Research
- Biological Systems (1)
- Biology and Environment (44)
- Biology and Soft Matter (1)
- Clean Energy (25)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Fusion and Fission (4)
- Isotopes (3)
- Materials (10)
- Materials for Computing (2)
- National Security (7)
- Neutron Science (7)
- Nuclear Science and Technology (5)
- Supercomputing (45)
News Type
News Topics
- (-) Advanced Reactors (8)
- (-) Biomedical (29)
- (-) Climate Change (50)
- (-) Composites (8)
- (-) Decarbonization (46)
- (-) Frontier (25)
- (-) Polymers (8)
- (-) Summit (31)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (42)
- Artificial Intelligence (48)
- Big Data (27)
- Bioenergy (51)
- Biology (60)
- Biotechnology (11)
- Buildings (19)
- Chemical Sciences (25)
- Clean Water (14)
- Computer Science (87)
- Coronavirus (17)
- Critical Materials (4)
- Cybersecurity (14)
- Education (1)
- Emergency (2)
- Energy Storage (29)
- Environment (104)
- Exascale Computing (27)
- Fossil Energy (4)
- Fusion (31)
- Grid (25)
- High-Performance Computing (45)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Machine Learning (22)
- Materials (43)
- Materials Science (46)
- Mathematics (7)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (39)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (55)
- Partnerships (18)
- Physics (29)
- Quantum Computing (21)
- Quantum Science (30)
- Renewable Energy (1)
- Security (11)
- Simulation (32)
- Software (1)
- Space Exploration (12)
- Statistics (1)
- Sustainable Energy (47)
- Transportation (27)
Media Contacts
The world’s fastest supercomputer helped researchers simulate synthesizing a material harder and tougher than a diamond — or any other substance on Earth. The study used Frontier to predict the likeliest strategy to synthesize such a material, thought to exist so far only within the interiors of giant exoplanets, or planets beyond our solar system.
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.
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.
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.
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.
Building innovations from ORNL will be on display in Washington, D.C. on the National Mall June 7 to June 9, 2024, during the U.S. Department of Housing and Urban Development’s Innovation Housing Showcase. For the first time, ORNL’s real-time building evaluator was demonstrated outside of a laboratory setting and deployed for building construction.
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 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.