![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 (2)
- (-) Biology and Environment (33)
- (-) Fusion Energy (14)
- (-) Materials (54)
- Biological Systems (1)
- Clean Energy (53)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (2)
- Fusion and Fission (25)
- Isotopes (25)
- Materials for Computing (4)
- National Security (23)
- Neutron Science (27)
- Nuclear Science and Technology (14)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (65)
News Type
News Topics
- (-) Biomedical (20)
- (-) Fusion (17)
- (-) Grid (7)
- (-) Isotopes (13)
- (-) Machine Learning (11)
- (-) Physics (28)
- (-) Summit (12)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (9)
- Artificial Intelligence (15)
- Big Data (10)
- Bioenergy (51)
- Biology (73)
- Biotechnology (13)
- Buildings (4)
- Chemical Sciences (34)
- Clean Water (14)
- Climate Change (42)
- Composites (14)
- Computer Science (36)
- Coronavirus (14)
- Critical Materials (13)
- Cybersecurity (5)
- Decarbonization (24)
- Energy Storage (35)
- Environment (97)
- Exascale Computing (6)
- Frontier (6)
- High-Performance Computing (23)
- Hydropower (8)
- ITER (1)
- Materials (79)
- Materials Science (78)
- Mathematics (3)
- Mercury (7)
- Microscopy (31)
- Molten Salt (3)
- Nanotechnology (40)
- National Security (5)
- Net Zero (3)
- Neutron Science (36)
- Nuclear Energy (22)
- Partnerships (12)
- Polymers (17)
- Quantum Computing (3)
- Quantum Science (11)
- Renewable Energy (2)
- Security (3)
- Simulation (14)
- Space Exploration (3)
- Sustainable Energy (44)
- Transformational Challenge Reactor (4)
- Transportation (15)
Media Contacts
![A smart approach to microscopy and imaging developed at Oak Ridge National Laboratory could drive discoveries in materials for future technologies. Credit: Adam Malin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-05/PFC%20Surface%20v3%20300dpi_1.jpg?h=9c3ba2fc&itok=s8arZbEt)
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
![ORNL scientists created a new microbial trait mapping process that improves on classical protoplast fusion techniques to identify the genes that trigger desirable genetic traits like improved biomass processing. Credit: Nathan Armistead/ORNL, U.S. Dept. of Energy. Reprinted with the permission of Oxford University Press, publisher of Nucleic Acids Research](/sites/default/files/styles/list_page_thumbnail/public/2022-04/Nucleic%20Cover%20Illustration.jpg?h=4a9d1e17&itok=iw81emAt)
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
![ORNL’s Brenda Pracheil, left, and Kristine Moody collect water samples at Melton Hill Lake using a sophisticated instrument that collects DNA in the water to determine fish species and number of fish in the water, which could prove useful for monitoring hydropower impacts. Credit: Carlos Jones, ORNL/U.S Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/2020-P17436_0.jpg?h=c6980913&itok=BXPhSslk)
Researchers at Oak Ridge National Laboratory are using a novel approach in determining environmental impacts to aquatic species near hydropower facilities, potentially leading to smarter facility designs that can support electrical grid reliability.
![A new process developed by Oak Ridge National Laboratory leverages deep learning techniques to study cell movements in a simulated environment, guided by simple physics rules similar to video-game play. Credit: MSKCC and UTK](/sites/default/files/styles/list_page_thumbnail/public/2022-01/Observed%20data%20AI%20story%20tip.jpg?h=8e5dac0a&itok=wrAOsfIs)
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.
![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.
![Larry Baylor, left, and Andrew Lupini have been elected fellows of the American Physical Society. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-10/APSfellows.jpg?h=e91a75a9&itok=rDVqiCkQ)
ORNL's Larry Baylor and Andrew Lupini have been elected fellows of the American Physical Society.
![As part of the Next-Generation Ecosystem Experiments Arctic project, scientists are gathering and incorporating new data about the Alaskan tundra into global models that predict the future of our planet. Credit: ORNL/U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-08/NGEE_eddy%20covariance%20Busey.jpg?h=2d5be524&itok=VFtVDdzq)
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
![Researchers studying secondary metabolites in the fungus Aspergillus flavus, pictured, found unique mixes of metabolites corresponding to genetically distinct populations. The finding suggests local environmental conditions play a key role in secondary metabolite production, influencing the discovery of drugs and other useful compounds. Credit: Tomás Allen Rush/ORNL, U.S. Dept. of Energy.](/sites/default/files/styles/list_page_thumbnail/public/2021-07/DSC0351.jpg?h=b2d9f031&itok=PNgYY5eW)
Scientists at ORNL and the University of Wisconsin–Madison have discovered that genetically distinct populations within the same species of fungi can produce unique mixes of secondary metabolites, which are organic compounds with applications in
![The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.](/sites/default/files/styles/list_page_thumbnail/public/2021-05/DOE%20ECRP%20winners_1.jpg?h=d1cb525d&itok=qW3-KeMF)
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
![Belinda Akpa applies her diverse expertise and high-performance computing to accelerate the drug discovery process and increase the chances of success when candidate molecules go to clinical trials. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-04/2021-P02772_1.jpg?h=0a8b6f8b&itok=seLu5znj)
Belinda Akpa is a chemical engineer with a talent for tackling big challenges and fostering inclusivity and diversity in the next generation of scientists.