Filter News
Area of Research
- (-) Electricity and Smart Grid (1)
- (-) Neutron Science (26)
- (-) Supercomputing (62)
- Advanced Manufacturing (6)
- Biological Systems (2)
- Biology and Environment (77)
- Building Technologies (2)
- Clean Energy (143)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (8)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (2)
- Isotopes (5)
- Materials (57)
- Materials for Computing (13)
- National Security (20)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Renewable Energy (1)
- Transportation Systems (2)
News Topics
- (-) Artificial Intelligence (39)
- (-) Bioenergy (13)
- (-) Biomedical (25)
- (-) Polymers (3)
- (-) Sustainable Energy (11)
- (-) Transportation (10)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Big Data (20)
- Biology (14)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (17)
- Composites (1)
- Computer Science (98)
- Coronavirus (17)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (7)
- Energy Storage (14)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Frontier (29)
- Fusion (2)
- Grid (7)
- High-Performance Computing (39)
- Isotopes (1)
- Machine Learning (16)
- Materials (28)
- Materials Science (33)
- Mathematics (1)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (8)
- Net Zero (1)
- Neutron Science (101)
- Nuclear Energy (7)
- Partnerships (1)
- Physics (16)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (14)
- Software (1)
- Space Exploration (5)
- Summit (42)
Media Contacts
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
A team of researchers from ORNL was recognized by the National Cancer Institute in March for their unique contributions in the fight against cancer.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
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.