Filter News
Area of Research
News Topics
- (-) Frontier (3)
- (-) Machine Learning (7)
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (7)
- Big Data (9)
- Bioenergy (37)
- Biology (56)
- Biomedical (11)
- Biotechnology (8)
- Chemical Sciences (3)
- Clean Water (12)
- Climate Change (33)
- Composites (2)
- Computer Science (20)
- Coronavirus (6)
- Cybersecurity (1)
- Decarbonization (17)
- Energy Storage (2)
- Environment (75)
- Exascale Computing (4)
- Grid (3)
- High-Performance Computing (15)
- Hydropower (8)
- Materials (2)
- Materials Science (2)
- Mathematics (4)
- Mercury (7)
- Microscopy (9)
- Nanotechnology (3)
- National Security (2)
- Net Zero (1)
- Neutron Science (1)
- Physics (2)
- Polymers (1)
- Quantum Science (7)
- Renewable Energy (1)
- Security (1)
- Simulation (10)
- Summit (7)
- Sustainable Energy (27)
- Transportation (1)
Media Contacts
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
With the world’s first exascale supercomputer now fully open for scientific business, researchers can thank the early users who helped get the machine up to speed.
When reading the novel Jurassic Park as a teenager, Jerry Parks found the passages about gene sequencing and supercomputers fascinating, but never imagined he might someday pursue such futuristic-sounding science.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
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.
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.
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.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool