Filter News
Area of Research
- Advanced Manufacturing (3)
- Biology and Environment (78)
- Biology and Soft Matter (1)
- Clean Energy (68)
- Climate and Environmental Systems (4)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (16)
- Fusion Energy (11)
- Isotopes (1)
- Materials (29)
- Materials for Computing (4)
- Mathematics (1)
- National Security (36)
- Neutron Science (59)
- Nuclear Science and Technology (13)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (44)
News Type
News Topics
- (-) Clean Water (28)
- (-) Environment (150)
- (-) Fusion (40)
- (-) Grid (47)
- (-) Machine Learning (35)
- (-) Molten Salt (6)
- (-) National Security (50)
- (-) Neutron Science (80)
- (-) Quantum Science (42)
- 3-D Printing/Advanced Manufacturing (74)
- Advanced Reactors (21)
- Artificial Intelligence (65)
- Big Data (47)
- Bioenergy (67)
- Biology (78)
- Biomedical (42)
- Biotechnology (15)
- Buildings (43)
- Chemical Sciences (38)
- Climate Change (76)
- Composites (17)
- Computer Science (129)
- Coronavirus (28)
- Critical Materials (17)
- Cybersecurity (17)
- Decarbonization (58)
- Education (2)
- Emergency (2)
- Energy Storage (61)
- Exascale Computing (32)
- Fossil Energy (5)
- Frontier (28)
- High-Performance Computing (60)
- Hydropower (11)
- Irradiation (2)
- Isotopes (36)
- ITER (5)
- Materials (81)
- Materials Science (83)
- Mathematics (9)
- Mercury (10)
- Microelectronics (3)
- Microscopy (31)
- Nanotechnology (28)
- Net Zero (10)
- Nuclear Energy (75)
- Partnerships (22)
- Physics (35)
- Polymers (17)
- Quantum Computing (27)
- Renewable Energy (1)
- Security (13)
- Simulation (41)
- Software (1)
- Space Exploration (22)
- Statistics (2)
- Summit (39)
- Sustainable Energy (93)
- Transformational Challenge Reactor (3)
- Transportation (63)
Media Contacts
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.
Joe Tuccillo, a human geography research scientist, leads the UrbanPop project that uses census data to create synthetic populations. Using a Python software suite called Likeness on ORNL’s high-performance computers, Tuccillo’s team generates a population with individual ‘agents’ designed to represent people that interact with other agents, facilities and services in a simulated neighborhood.
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.
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.
ORNL hosted the Mid-South Regional Chapter of the American Society for Photogrammetry and Remote Sensing, or ASPRS. Participants spanning government, academia and industry engaged in talks, poster sessions, events and workshops to further scientific discovery in a field devoted to using pictures to understand changes to the earth’s inhabitants and landscape.
A newly established internship between ORNL and Maryville College is bringing cybersecurity careers to a local liberal arts college. The internship was established by a Maryville College alumni who recently joined ORNL.
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 has named Troy A. Carter director of the Fusion Energy Division in ORNL’s Fusion and Fission Energy and Science Directorate, or FFESD.
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.
As a data scientist, Daniel Adams uses storytelling to parse through a large amount of information to determine which elements are most important, paring down the data to result in the most efficient and accurate data set possible.