Filter News
Area of Research
- (-) Biology and Environment (27)
- (-) Supercomputing (59)
- Advanced Manufacturing (1)
- Clean Energy (27)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (3)
- Materials (36)
- Materials for Computing (10)
- Mathematics (1)
- National Security (13)
- Neutron Science (13)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
News Type
News Topics
- (-) Artificial Intelligence (25)
- (-) Mathematics (3)
- (-) Microscopy (8)
- (-) Nanotechnology (8)
- (-) Polymers (3)
- (-) Security (1)
- (-) Simulation (17)
- (-) Space Exploration (2)
- (-) Summit (29)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Big Data (22)
- Bioenergy (36)
- Biology (58)
- Biomedical (20)
- Biotechnology (9)
- Buildings (2)
- Chemical Sciences (5)
- Clean Water (11)
- Climate Change (40)
- Composites (2)
- Computer Science (68)
- Coronavirus (13)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (18)
- Energy Storage (3)
- Environment (83)
- Exascale Computing (15)
- Frontier (14)
- Fusion (1)
- Grid (3)
- High-Performance Computing (33)
- Hydropower (8)
- Machine Learning (11)
- Materials (7)
- Materials Science (11)
- Mercury (7)
- National Security (4)
- Net Zero (2)
- Neutron Science (6)
- Nuclear Energy (3)
- Physics (4)
- Quantum Computing (14)
- Quantum Science (13)
- Renewable Energy (1)
- Software (1)
- Sustainable Energy (27)
- Transportation (5)
Media Contacts
The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.
Madhavi Martin brings a physicist’s tools and perspective to biological and environmental research at the Department of Energy’s Oak Ridge National Laboratory, supporting advances in bioenergy, soil carbon storage and environmental monitoring, and even helping solve a murder mystery.
ORNL hosted its fourth Artificial Intelligence for Robust Engineering and Science, or AIRES, workshop from April 18-20. Over 100 attendees from government, academia and industry convened to identify research challenges and investment areas, carving the future of the discipline.
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.
Over the past decade, teams of engineers, chemists and biologists have analyzed the physical and chemical properties of cicada wings, hoping to unlock the secret of their ability to kill microbes on contact. If this function of nature can be replicated by science, it may lead to products with inherently antibacterial surfaces that are more effective than current chemical treatments.
Growing up exploring the parklands of India where Rudyard Kipling drew inspiration for The Jungle Book left Saubhagya Rathore with a deep respect and curiosity about the natural world. He later turned that interest into a career in environmental science and engineering, and today he is working at ORNL to improve our understanding of watersheds for better climate prediction and resilience.
As a result of largescale 3D supernova simulations conducted on the Oak Ridge Leadership Computing Facility’s Summit supercomputer by researchers from the University of Tennessee and Oak Ridge National Laboratory, astrophysicists now have the most complete picture yet of what gravitational waves from exploding stars look like.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
To support the development of a revolutionary new open fan engine architecture for the future of flight, GE Aerospace has run simulations using the world’s fastest supercomputer capable of crunching data in excess of exascale speed, or more than a quintillion calculations per second.
Simulations performed on the Summit supercomputer at ORNL revealed new insights into the role of turbulence in mixing fluids and could open new possibilities for projecting climate change and studying fluid dynamics.