Filter News
Area of Research
- (-) Biology and Environment (13)
- (-) Neutron Science (6)
- (-) Supercomputing (15)
- Biological Systems (1)
- Clean Energy (20)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Isotopes (2)
- Materials (6)
- Materials for Computing (1)
- National Security (8)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
News Type
News Topics
- (-) Biomedical (17)
- (-) Clean Water (4)
- (-) Grid (2)
- (-) Machine Learning (8)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (13)
- Big Data (15)
- Bioenergy (16)
- Biology (24)
- Biotechnology (3)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (18)
- Composites (2)
- Computer Science (47)
- Coronavirus (9)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (7)
- Energy Storage (4)
- Environment (34)
- Exascale Computing (6)
- Frontier (4)
- Fusion (1)
- High-Performance Computing (9)
- Hydropower (5)
- Materials (5)
- Materials Science (12)
- Mathematics (1)
- Mercury (2)
- Microscopy (6)
- Nanotechnology (5)
- National Security (1)
- Net Zero (1)
- Neutron Science (28)
- Nuclear Energy (4)
- Physics (2)
- Polymers (3)
- Quantum Computing (5)
- Quantum Science (9)
- Security (1)
- Simulation (4)
- Summit (20)
- Sustainable Energy (10)
- Transportation (1)
Media Contacts
Tomás Rush began studying the mysteries of fungi in fifth grade and spent his college intern days tromping through forests, swamps and agricultural lands searching for signs of fungal plant pathogens causing disease on host plants.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
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.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
Spanning no less than three disciplines, Marie Kurz’s title — hydrogeochemist — already gives you a sense of the collaborative, interdisciplinary nature of her research at ORNL.
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 analysis from Oak Ridge National Laboratory shows that intensified aridity, or drier atmospheric conditions, is caused by human-driven increases in greenhouse gas emissions. The findings point to an opportunity to address and potentially reverse the trend by reducing emissions.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.