Filter News
Area of Research
- (-) Neutron Science (31)
- (-) Supercomputing (109)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (107)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (78)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (28)
- Materials (45)
- Materials for Computing (9)
- Mathematics (1)
- National Security (23)
- Nuclear Science and Technology (11)
- Quantum information Science (6)
News Topics
- (-) Biomedical (25)
- (-) Computer Science (98)
- (-) Environment (28)
- (-) Isotopes (2)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (2)
- Artificial Intelligence (39)
- Big Data (21)
- Bioenergy (13)
- Biology (14)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (17)
- Composites (1)
- Coronavirus (17)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (7)
- Energy Storage (14)
- Exascale Computing (24)
- Fossil Energy (1)
- Frontier (30)
- Fusion (2)
- Grid (5)
- High-Performance Computing (41)
- Machine Learning (16)
- Materials (28)
- Materials Science (33)
- Mathematics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (8)
- Net Zero (1)
- Neutron Science (102)
- Nuclear Energy (7)
- Partnerships (1)
- Physics (17)
- Polymers (3)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (15)
- Software (1)
- Summit (43)
- Sustainable Energy (11)
- Transportation (10)
Media Contacts
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
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.
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.
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.
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.
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.