Filter News
Area of Research
- (-) Advanced Manufacturing (2)
- (-) Isotopes (2)
- (-) National Security (24)
- (-) Supercomputing (47)
- Biology and Environment (16)
- Clean Energy (107)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (12)
- Fusion Energy (7)
- Materials (44)
- Materials for Computing (5)
- Neutron Science (15)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (2)
News Topics
- (-) Advanced Reactors (3)
- (-) Artificial Intelligence (46)
- (-) Energy Storage (10)
- (-) Grid (11)
- (-) Security (14)
- 3-D Printing/Advanced Manufacturing (27)
- Big Data (22)
- Bioenergy (11)
- Biology (14)
- Biomedical (22)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (21)
- Composites (3)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Environment (26)
- Exascale Computing (22)
- Frontier (28)
- Fusion (3)
- High-Performance Computing (40)
- Irradiation (1)
- Isotopes (25)
- Machine Learning (24)
- Materials (26)
- Materials Science (23)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (36)
- Net Zero (1)
- Neutron Science (17)
- Nuclear Energy (12)
- Partnerships (5)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Simulation (14)
- Software (1)
- Space Exploration (7)
- Summit (42)
- Sustainable Energy (16)
- Transformational Challenge Reactor (1)
- Transportation (8)
Media Contacts
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
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.
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.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
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.