Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (30)
- Clean Energy (29)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (7)
- Isotopes (3)
- Materials (26)
- Materials for Computing (6)
- Mathematics (1)
- National Security (7)
- Neutron Science (34)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Supercomputing (21)
News Type
News Topics
- (-) Artificial Intelligence (23)
- (-) Big Data (22)
- (-) Biomedical (15)
- (-) Environment (60)
- (-) Fusion (18)
- (-) Neutron Science (42)
- (-) Physics (10)
- (-) Quantum Science (14)
- (-) Security (4)
- 3-D Printing/Advanced Manufacturing (50)
- Advanced Reactors (18)
- Bioenergy (22)
- Biology (25)
- Biotechnology (3)
- Buildings (29)
- Chemical Sciences (26)
- Clean Water (13)
- Climate Change (32)
- Composites (13)
- Computer Science (57)
- Coronavirus (15)
- Critical Materials (13)
- Cybersecurity (9)
- Decarbonization (15)
- Energy Storage (48)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (4)
- Grid (25)
- High-Performance Computing (23)
- Hydropower (6)
- Irradiation (3)
- Isotopes (15)
- ITER (4)
- Machine Learning (14)
- Materials (68)
- Materials Science (54)
- Mathematics (2)
- Mercury (3)
- Microscopy (20)
- Molten Salt (6)
- Nanotechnology (24)
- National Security (12)
- Net Zero (3)
- Nuclear Energy (36)
- Partnerships (8)
- Polymers (14)
- Quantum Computing (6)
- Simulation (12)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Summit (8)
- Sustainable Energy (56)
- Transformational Challenge Reactor (1)
- Transportation (49)
Media Contacts
In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.
ORNL’s Matthew Loyd will receive a Department of Energy Office of Science Early Career Research award.
Scientists using high-resolution aerial scans and computational modeling concluded that wildfires, storms and selective logging have become key drivers behind rainforest carbon emissions, outpacing clear-cutting practices.
A research scientist with the Department of Energy’s Oak Ridge National Laboratory, Ayana Ghosh was named the 2024 Early Discovery Award winner by the American Ceramic Society. The award recognizes an early career member of the organization who has contributed to basic science in the field of glass and ceramics.
ORNL’s Joshua New was named the 2024 Researcher of the Year by R&D World magazine as part of its R&D 100 Professional Award winners.
The award was given in “recognition of his lifelong leadership in fusion technology for plasma fueling systems in magnetically confined fusion systems.”
A research team led by the Department of Energy’s Oak Ridge National Laboratory demonstrated an effective and reliable new way to identify and quantify polyethylene glycols in various samples.
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.
Phani Ratna Vanamali Marthi, an R&D associate in the Power Systems Resilience group at ORNL, has been elevated to the grade of senior member of the Institute of Electrical and Electronics Engineers, the world’s largest technical professional
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.