Filter News
Area of Research
- (-) Supercomputing (43)
- Advanced Manufacturing (14)
- Biological Systems (1)
- Biology and Environment (86)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (135)
- Climate and Environmental Systems (4)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (2)
- Energy Sciences (1)
- Fusion and Fission (6)
- Fusion Energy (1)
- Isotopes (8)
- Materials (37)
- Materials for Computing (4)
- Mathematics (1)
- National Security (19)
- Neutron Science (21)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Sensors and Controls (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (2)
- (-) Big Data (17)
- (-) Biomedical (11)
- (-) Energy Storage (2)
- (-) Environment (17)
- (-) Grid (1)
- (-) Machine Learning (8)
- (-) Space Exploration (2)
- Advanced Reactors (1)
- Artificial Intelligence (22)
- Bioenergy (3)
- Biology (7)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- High-Performance Computing (23)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (3)
- Physics (3)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (13)
- Security (1)
- Simulation (11)
- Software (1)
- Summit (27)
- Sustainable Energy (4)
- Transportation (4)
Media Contacts
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.
An international problem like climate change needs solutions that cross boundaries, both on maps and among disciplines. Oak Ridge National Laboratory computational scientist Deeksha Rastogi embodies that approach.
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
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
RamSat’s mission is to take pictures of the forests around Gatlinburg, which were destroyed by wildfire in 2016. The mission is wholly designed and carried out by students, teachers and mentors, with support from numerous organizations, including Oak Ridge National Laboratory.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
The U.S. Air Force and Oak Ridge National Laboratory launched a new high-performance weather forecasting computer system that will provide a platform for some of the most advanced weather modeling in the world.