Filter News
Area of Research
- (-) National Security (8)
- (-) Supercomputing (21)
- Advanced Manufacturing (3)
- Biological Systems (2)
- Biology and Environment (45)
- Clean Energy (25)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (1)
- Materials (22)
- Materials for Computing (4)
- Neutron Science (6)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
News Type
News Topics
- (-) Big Data (21)
- (-) Bioenergy (4)
- (-) Microscopy (2)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (1)
- Artificial Intelligence (26)
- Biology (9)
- Biomedical (11)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (17)
- Computer Science (66)
- Coronavirus (11)
- Critical Materials (3)
- Cybersecurity (9)
- Decarbonization (4)
- Energy Storage (3)
- Environment (20)
- Exascale Computing (15)
- Frontier (15)
- Fusion (1)
- Grid (6)
- High-Performance Computing (27)
- Isotopes (1)
- Machine Learning (14)
- Materials (6)
- Materials Science (10)
- Mathematics (1)
- Nanotechnology (6)
- National Security (24)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (4)
- Partnerships (1)
- Physics (4)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (14)
- Security (7)
- Simulation (12)
- Software (1)
- Space Exploration (2)
- Summit (28)
- Sustainable Energy (5)
- Transportation (5)
Media Contacts
The Summit supercomputer, once the world’s most powerful, is set to be decommissioned by the end of 2024 to make way for the next-generation supercomputer. Over the summer, crews began dismantling Summit’s Alpine storage system, shredding over 40,000 hard drives with the help of ShredPro Secure, a local East Tennessee business. This partnership not only reduced costs and sped up the process but also established a more efficient and secure method for decommissioning large-scale computing systems in the future.
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.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
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.
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.
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.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.