Filter News
Area of Research
- (-) Supercomputing (118)
- Advanced Manufacturing (1)
- Biology and Environment (29)
- Building Technologies (3)
- Clean Energy (154)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (7)
- Fusion Energy (2)
- Isotopes (26)
- Materials (87)
- Materials for Computing (15)
- Mathematics (1)
- National Security (34)
- Neutron Science (32)
- Nuclear Science and Technology (13)
- Quantum information Science (9)
- Sensors and Controls (2)
- Transportation Systems (2)
News Topics
- (-) Buildings (4)
- (-) Computer Science (95)
- (-) Grid (5)
- (-) Isotopes (2)
- (-) Molten Salt (1)
- (-) Physics (8)
- (-) Quantum Science (24)
- (-) Security (5)
- (-) Transportation (6)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (36)
- Big Data (19)
- Bioenergy (9)
- Biology (11)
- Biomedical (17)
- Biotechnology (2)
- Chemical Sciences (5)
- Climate Change (17)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (5)
- Energy Storage (8)
- Environment (21)
- Exascale Computing (23)
- Frontier (29)
- Fusion (1)
- High-Performance Computing (39)
- Machine Learning (14)
- Materials (15)
- Materials Science (16)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (4)
- Partnerships (1)
- Polymers (2)
- Quantum Computing (19)
- Simulation (15)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (10)
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.
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.
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.
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.
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.