Filter News
Area of Research
- (-) Supercomputing (49)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (31)
- Clean Energy (28)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Energy Frontier Research Centers (1)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (39)
- Materials for Computing (7)
- National Security (16)
- Neutron Science (24)
- Nuclear Science and Technology (11)
- Quantum information Science (1)
News Topics
- (-) Artificial Intelligence (33)
- (-) Biomedical (12)
- (-) Coronavirus (12)
- (-) Mathematics (1)
- (-) Nanotechnology (10)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (5)
- Big Data (14)
- Bioenergy (9)
- Biology (10)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (4)
- Climate Change (15)
- Computer Science (76)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (6)
- Environment (16)
- Exascale Computing (19)
- Frontier (25)
- Grid (4)
- High-Performance Computing (31)
- Isotopes (1)
- Machine Learning (12)
- Materials (12)
- Materials Science (14)
- Microscopy (7)
- Molten Salt (1)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (7)
- Quantum Computing (15)
- Quantum Science (20)
- Security (5)
- Simulation (11)
- Software (1)
- Summit (35)
- Sustainable Energy (8)
- Transportation (5)
Media Contacts
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.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.
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.
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.