Filter News
Area of Research
- (-) Neutron Science (36)
- (-) Supercomputing (105)
- Advanced Manufacturing (22)
- Biological Systems (1)
- Biology and Environment (41)
- Building Technologies (2)
- Clean Energy (169)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (15)
- Fusion and Fission (29)
- Fusion Energy (13)
- Isotope Development and Production (1)
- Isotopes (27)
- Materials (70)
- Materials for Computing (16)
- Mathematics (1)
- National Security (34)
- Nuclear Science and Technology (23)
- Quantum information Science (6)
- Transportation Systems (2)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (10)
- (-) Biomedical (25)
- (-) Computer Science (98)
- (-) Cybersecurity (9)
- (-) Fusion (2)
- (-) Isotopes (1)
- (-) Space Exploration (5)
- (-) Transportation (10)
- Advanced Reactors (2)
- Artificial Intelligence (39)
- Big Data (20)
- Bioenergy (13)
- Biology (14)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Climate Change (17)
- Composites (1)
- Coronavirus (17)
- Critical Materials (3)
- Decarbonization (7)
- Energy Storage (14)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Frontier (29)
- Grid (5)
- High-Performance Computing (39)
- 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 (101)
- Nuclear Energy (7)
- Partnerships (1)
- Physics (16)
- Polymers (3)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (11)
Media Contacts
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.
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.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
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.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.