Filter News
Area of Research
- Biology and Environment (45)
- Biology and Soft Matter (1)
- Clean Energy (30)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (7)
- Isotopes (1)
- Materials (29)
- Materials for Computing (5)
- National Security (12)
- Neutron Science (6)
- Supercomputing (19)
News Topics
- (-) Advanced Reactors (4)
- (-) Artificial Intelligence (14)
- (-) Biology (28)
- (-) Clean Water (5)
- (-) Climate Change (26)
- (-) Environment (36)
- (-) Fusion (7)
- (-) Grid (13)
- (-) Materials (37)
- (-) Mercury (1)
- (-) Transportation (10)
- 3-D Printing/Advanced Manufacturing (12)
- Big Data (9)
- Bioenergy (19)
- Biomedical (6)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Composites (3)
- Computer Science (20)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (7)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (25)
- Exascale Computing (8)
- Fossil Energy (1)
- Frontier (10)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (4)
- ITER (2)
- Machine Learning (10)
- Materials Science (16)
- Microscopy (13)
- Nanotechnology (9)
- National Security (17)
- Net Zero (2)
- Neutron Science (12)
- Nuclear Energy (10)
- Partnerships (8)
- Physics (10)
- Polymers (5)
- Quantum Computing (7)
- Quantum Science (9)
- Security (4)
- Simulation (6)
- Space Exploration (4)
- Summit (7)
- Sustainable Energy (25)
- Transformational Challenge Reactor (2)
Media Contacts
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.
Drilling with the beam of an electron microscope, scientists at ORNL precisely machined tiny electrically conductive cubes that can interact with light and organized them in patterned structures that confine and relay light’s electromagnetic signal.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
Researchers at ORNL used polymer chemistry to transform a common household plastic into a reusable adhesive with a rare combination of strength and ductility, making it one of the toughest materials ever reported.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
Energy and sustainability experts from ORNL, industry, universities and the federal government recently identified key focus areas to meet the challenge of successfully decarbonizing the agriculture sector
A novel method to 3D print components for nuclear reactors, developed by the Department of Energy’s Oak Ridge National Laboratory, has been licensed by Ultra Safe Nuclear Corporation.
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
To advance sensor technologies, Oak Ridge National Laboratory researchers studied piezoelectric materials, which convert mechanical stress into electrical energy, to see how they could handle bombardment with energetic neutrons.