Filter News
Area of Research
- (-) Supercomputing (31)
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (25)
- Clean Energy (14)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (3)
- Fusion and Fission (7)
- Fusion Energy (7)
- Isotopes (5)
- Materials (11)
- Materials for Computing (2)
- National Security (8)
- Neutron Science (12)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Big Data (18)
- (-) Biomedical (16)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (34)
- Bioenergy (9)
- Biology (11)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (5)
- Climate Change (17)
- Computer Science (93)
- Coronavirus (14)
- Critical Materials (3)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (7)
- Environment (20)
- Exascale Computing (20)
- Frontier (26)
- Fusion (1)
- Grid (4)
- High-Performance Computing (34)
- Isotopes (1)
- Machine Learning (13)
- Materials (13)
- Materials Science (15)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (7)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (23)
- Security (5)
- Simulation (12)
- Software (1)
- Space Exploration (3)
- Summit (41)
- Sustainable Energy (9)
- Transportation (6)
Media Contacts
A team of computational scientists at ORNL has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 million organic molecules.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
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.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.