Filter News
Area of Research
- (-) Biology and Environment (19)
- Advanced Manufacturing (22)
- Building Technologies (1)
- Clean Energy (83)
- Computational Engineering (1)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Fusion Energy (1)
- Materials (30)
- Materials for Computing (5)
- National Security (14)
- Neutron Science (9)
- Nuclear Science and Technology (4)
- Supercomputing (37)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (11)
- (-) Machine Learning (9)
- Advanced Reactors (1)
- Artificial Intelligence (9)
- Big Data (10)
- Bioenergy (45)
- Biology (73)
- Biomedical (16)
- Biotechnology (13)
- Buildings (2)
- Chemical Sciences (11)
- Clean Water (11)
- Climate Change (41)
- Composites (5)
- Computer Science (19)
- Coronavirus (13)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (19)
- Energy Storage (7)
- Environment (90)
- Exascale Computing (4)
- Frontier (3)
- Fusion (1)
- Grid (3)
- High-Performance Computing (20)
- Hydropower (8)
- Isotopes (2)
- Materials (12)
- Materials Science (6)
- Mathematics (4)
- Mercury (7)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (3)
- Net Zero (2)
- Neutron Science (4)
- Nuclear Energy (1)
- Partnerships (5)
- Physics (2)
- Polymers (2)
- Renewable Energy (1)
- Security (2)
- Simulation (15)
- Summit (10)
- Sustainable Energy (30)
- Transformational Challenge Reactor (1)
- Transportation (3)
Media Contacts
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
The annual Director's Awards recognized four individuals and teams including awards for leadership in quantum simulation development and application on high-performance computing platforms, and revolutionary advancements in the area of microbial
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have created a recipe for a renewable 3D printing feedstock that could spur a profitable new use for an intractable biorefinery byproduct: lignin.