Filter News
Area of Research
- (-) Supercomputing (54)
- Advanced Manufacturing (2)
- Biological Systems (2)
- Biology and Environment (69)
- Clean Energy (134)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (6)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Isotopes (6)
- Materials (72)
- Materials for Computing (14)
- National Security (29)
- Neutron Science (33)
- Nuclear Science and Technology (7)
- Quantum information Science (3)
- Sensors and Controls (2)
- Transportation Systems (2)
News Topics
- (-) Bioenergy (9)
- (-) Biomedical (17)
- (-) Grid (5)
- (-) Machine Learning (14)
- (-) Molten Salt (1)
- (-) Nanotechnology (11)
- (-) Security (5)
- (-) Transportation (6)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (36)
- Big Data (19)
- Biology (11)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (95)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (8)
- Environment (21)
- Exascale Computing (22)
- Frontier (28)
- Fusion (1)
- High-Performance Computing (38)
- Isotopes (1)
- Materials (15)
- Materials Science (16)
- Mathematics (1)
- Microscopy (7)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (7)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (24)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (10)
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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
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.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
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.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.