Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (66)
- Clean Energy (46)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion and Fission (19)
- Fusion Energy (11)
- Isotopes (18)
- Materials (56)
- Materials for Computing (9)
- National Security (15)
- Neutron Science (10)
- Nuclear Science and Technology (10)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (33)
News Type
News Topics
- (-) Biology (76)
- (-) Fusion (40)
- (-) Grid (45)
- (-) Isotopes (33)
- (-) Machine Learning (33)
- (-) Nanotechnology (32)
- (-) Physics (35)
- (-) Polymers (20)
- (-) Simulation (36)
- 3-D Printing/Advanced Manufacturing (70)
- Advanced Reactors (22)
- Artificial Intelligence (60)
- Big Data (41)
- Bioenergy (66)
- Biomedical (40)
- Biotechnology (15)
- Buildings (42)
- Chemical Sciences (32)
- Clean Water (28)
- Climate Change (74)
- Composites (16)
- Computer Science (125)
- Coronavirus (29)
- Critical Materials (14)
- Cybersecurity (17)
- Decarbonization (57)
- Education (1)
- Emergency (2)
- Energy Storage (65)
- Environment (150)
- Exascale Computing (26)
- Fossil Energy (4)
- Frontier (26)
- High-Performance Computing (54)
- Hydropower (11)
- Irradiation (2)
- ITER (5)
- Materials (76)
- Materials Science (84)
- Mathematics (7)
- Mercury (10)
- Microelectronics (2)
- Microscopy (34)
- Molten Salt (6)
- National Security (40)
- Net Zero (9)
- Neutron Science (76)
- Nuclear Energy (76)
- Partnerships (15)
- Quantum Computing (22)
- Quantum Science (39)
- Renewable Energy (1)
- Security (13)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Summit (36)
- Sustainable Energy (90)
- Transformational Challenge Reactor (3)
- Transportation (67)
Media Contacts
Sara Martinez ensures the safety and longevity of aging structures at Oak Ridge National Laboratory, employing her engineering expertise to protect against natural disasters and extend the lifespan of critical facilities.
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
When the Department of Energy’s Oak Ridge National Laboratory 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.
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.
Oak Ridge National Laboratory scientists ingeniously created a sustainable, soft material by combining rubber with woody reinforcements and incorporating “smart” linkages between the components that unlock on demand.
Early career scientist Frankie White's was part of two major isotope projects at the same time he was preparing to be a father. As co-lead on a team that achieved the first synthesis and characterization of a radium compound using single crystal X-ray diffraction and part of a team that characterized the properties of promethium, White reflects on the life-changing timeline at work, and at home.
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.
Students from the first class of ORNL and Pellissippi State Community College's joint Chemical Radiation Technology Pathway toured isotope facilities at ORNL.
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.