Filter News
Area of Research
- (-) Materials (11)
- (-) Supercomputing (15)
- Advanced Manufacturing (2)
- Biology and Environment (16)
- Clean Energy (32)
- Computational Biology (1)
- Fusion and Fission (9)
- Fusion Energy (2)
- Isotopes (2)
- Materials for Computing (4)
- National Security (2)
- Neutron Science (7)
- Nuclear Science and Technology (16)
- Quantum information Science (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (7)
- (-) Bioenergy (6)
- (-) Grid (2)
- (-) Nuclear Energy (4)
- (-) Transportation (4)
- 3-D Printing/Advanced Manufacturing (9)
- Big Data (6)
- Biology (3)
- Biomedical (6)
- Buildings (1)
- Chemical Sciences (4)
- Climate Change (4)
- Composites (1)
- Computer Science (37)
- Coronavirus (8)
- Critical Materials (3)
- Cybersecurity (3)
- Decarbonization (1)
- Energy Storage (8)
- Environment (11)
- Exascale Computing (2)
- Frontier (3)
- Fusion (1)
- High-Performance Computing (10)
- Isotopes (2)
- ITER (1)
- Machine Learning (4)
- Materials (8)
- Materials Science (31)
- Mathematics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (18)
- National Security (2)
- Neutron Science (19)
- Physics (10)
- Polymers (3)
- Quantum Computing (4)
- Quantum Science (13)
- Security (2)
- Space Exploration (1)
- Summit (15)
- Sustainable Energy (6)
- Transformational Challenge Reactor (2)
Media Contacts
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
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.
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.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
Scientists at Oak Ridge National Laboratory used new techniques to create a composite that increases the electrical current capacity of copper wires, providing a new material that can be scaled for use in ultra-efficient, power-dense electric vehicle traction motors.
The combination of bioenergy with carbon capture and storage could cost-effectively sequester hundreds of millions of metric tons per year of carbon dioxide in the United States, making it a competitive solution for carbon management, according to a new analysis by ORNL scientists.