Filter News
Area of Research
- (-) Isotopes (3)
- (-) Supercomputing (63)
- Advanced Manufacturing (8)
- Biology and Environment (53)
- Building Technologies (2)
- Clean Energy (91)
- Computational Engineering (1)
- Computer Science (10)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (43)
- Fusion Energy (15)
- Isotope Development and Production (1)
- Materials (75)
- Materials for Computing (14)
- National Security (22)
- Neutron Science (17)
- Nuclear Science and Technology (35)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (8)
News Type
News Topics
- (-) Big Data (18)
- (-) Fusion (1)
- (-) Machine Learning (13)
- (-) Microscopy (7)
- (-) Nuclear Energy (7)
- (-) Polymers (2)
- (-) Quantum Science (23)
- (-) Sustainable Energy (9)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (34)
- Bioenergy (9)
- Biology (11)
- Biomedical (21)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (5)
- Climate Change (18)
- Computer Science (93)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (8)
- Environment (21)
- Exascale Computing (20)
- Frontier (26)
- Grid (4)
- High-Performance Computing (34)
- Irradiation (1)
- Isotopes (25)
- Materials (17)
- Materials Science (16)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (9)
- Net Zero (1)
- Neutron Science (13)
- Partnerships (1)
- Physics (7)
- Quantum Computing (19)
- Security (5)
- Simulation (12)
- Software (1)
- Space Exploration (6)
- Summit (41)
- Transportation (6)
Media Contacts
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.
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 study by Oak Ridge National Laboratory researchers has demonstrated how satellites could enable more efficient, secure quantum networks.
Five National Quantum Information Science Research Centers are leveraging the behavior of nature at the smallest scales to develop technologies for science’s most complex problems.
Travis Humble has been named director of the Quantum Science Center headquartered at ORNL. The QSC is a multi-institutional partnership that spans industry, academia and government institutions and is tasked with uncovering the full potential of quantum materials, sensors and algorithms.
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.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.