![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (26)
- Clean Energy (18)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Isotopes (1)
- Materials (12)
- Materials for Computing (2)
- National Security (7)
- Supercomputing (11)
News Topics
- (-) Big Data (9)
- (-) Bioenergy (20)
- (-) Biomedical (6)
- (-) Composites (3)
- (-) Machine Learning (10)
- (-) Microscopy (13)
- (-) Sustainable Energy (25)
- 3-D Printing/Advanced Manufacturing (12)
- Advanced Reactors (4)
- Artificial Intelligence (14)
- Biology (28)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (5)
- Climate Change (26)
- Computer Science (20)
- Coronavirus (9)
- Critical Materials (5)
- Cybersecurity (7)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (25)
- Environment (36)
- Exascale Computing (8)
- Fossil Energy (1)
- Frontier (10)
- Fusion (8)
- Grid (13)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (4)
- ITER (2)
- Materials (37)
- Materials Science (17)
- Mercury (1)
- Nanotechnology (9)
- National Security (17)
- Net Zero (2)
- Neutron Science (13)
- Nuclear Energy (11)
- Partnerships (8)
- Physics (10)
- Polymers (5)
- Quantum Computing (7)
- Quantum Science (9)
- Security (4)
- Simulation (6)
- Space Exploration (4)
- Summit (7)
- Transformational Challenge Reactor (2)
- Transportation (10)
Media Contacts
![An ORNL-led team studied the SARS-CoV-2 spike protein in the trimer state, shown here, to pinpoint structural transitions that could be disrupted to destabilize the protein and negate its harmful effects. Credit: Debsindhu Bhowmik/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/sars_cov_2_bk.png?h=05c2797f&itok=jQ2D9aTr)
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
![This protein drives key processes for sulfide use in many microorganisms that produce methane, including Thermosipho melanesiensis. Researchers used supercomputing and deep learning tools to predict its structure, which has eluded experimental methods such as crystallography. Credit: Ada Sedova/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/thermosipho_collabfold2_0.jpg?h=3432ff3c&itok=4xhLbjKZ)
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.
![ORNL is making underused or inaccessible bioenergy data available to accelerate innovation for the bioeconomy. Credit: Andy Sproles/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/refineryData03_0.jpg?h=bb83cc06&itok=k0NhyfH7)
A research team from Oak Ridge National Laboratory has identified and improved the usability of data that can help accelerate innovation for the growing bioeconomy.
![ORNL’s Eva Zarkadoula seeks piezoelectric materials for sensors that can withstand irradiation, which causes cascading collisions that displace atoms and produces defects. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/2021-P10023_0.jpg?h=8f9cfe54&itok=6mtG9JEk)
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.
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/legacy_files/Image%20Library/Main%20Nav/ORNL/News/Features/2014/CE_PacBio_article.jpg?itok=Usb5TOAm)
Researchers at the Department of Energy’s Oak Ridge National Laboratory are the first team to sequence the entire genome of the Clostridium autoethanogenum bacterium, which is used to sustainably produce fuel and chemicals from a range of raw materials, including gases derived from biomass and industrial wastes.