Filter News
Area of Research
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (58)
- Clean Energy (48)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Isotope Development and Production (1)
- Isotopes (9)
- Materials (26)
- Materials for Computing (6)
- Mathematics (1)
- National Security (24)
- Neutron Science (24)
- Nuclear Science and Technology (12)
- Sensors and Controls (1)
- Supercomputing (66)
News Topics
- (-) Artificial Intelligence (95)
- (-) Big Data (58)
- (-) Biomedical (59)
- (-) Biotechnology (23)
- (-) Clean Water (30)
- (-) Coronavirus (46)
- (-) Molten Salt (8)
- (-) Security (24)
- (-) Space Exploration (25)
- 3-D Printing/Advanced Manufacturing (125)
- Advanced Reactors (34)
- Bioenergy (92)
- Biology (100)
- Buildings (59)
- Chemical Sciences (67)
- Climate Change (101)
- Composites (29)
- Computer Science (194)
- Critical Materials (28)
- Cybersecurity (35)
- Decarbonization (81)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (110)
- Environment (197)
- Exascale Computing (39)
- Fossil Energy (6)
- Frontier (44)
- Fusion (55)
- Grid (65)
- High-Performance Computing (88)
- Hydropower (11)
- Irradiation (3)
- Isotopes (53)
- ITER (7)
- Machine Learning (48)
- Materials (144)
- Materials Science (143)
- Mathematics (9)
- Mercury (12)
- Microelectronics (3)
- Microscopy (51)
- Nanotechnology (60)
- National Security (66)
- Net Zero (14)
- Neutron Science (131)
- Nuclear Energy (109)
- Partnerships (48)
- Physics (63)
- Polymers (33)
- Quantum Computing (35)
- Quantum Science (69)
- Renewable Energy (2)
- Simulation (49)
- Software (1)
- Statistics (3)
- Summit (59)
- Sustainable Energy (129)
- Transformational Challenge Reactor (7)
- Transportation (97)
Media Contacts
Since 2019, a team of NASA scientists and their partners have been using NASA’s FUN3D software on supercomputers located at the Department of Energy’s Oak Ridge Leadership Computing Facility to conduct computational fluid dynamics simulations of a human-scale Mars lander. The team’s ongoing research project is a first step in determining how to safely land a vehicle with humans onboard onto the surface of Mars.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
Ilenne Del Valle is merging her expertise in synthetic biology and environmental science to develop new technologies to help scientists better understand and engineer ecosystems for climate resilience.
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
Researchers at the Department of Energy’s Oak Ridge and Lawrence Berkeley National Laboratories are evolving graph neural networks to scale on the nation’s most powerful computational resources, a necessary step in tackling today’s data-centric
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.