Filter News
Area of Research
- (-) Biology and Soft Matter (1)
- (-) Fusion Energy (8)
- (-) National Security (11)
- (-) Supercomputing (29)
- Advanced Manufacturing (10)
- Biology and Environment (80)
- Clean Energy (109)
- Climate and Environmental Systems (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (42)
- Isotope Development and Production (1)
- Isotopes (23)
- Materials (54)
- Materials for Computing (8)
- Neutron Science (19)
- Nuclear Science and Technology (25)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (7)
- (-) Environment (21)
- (-) Fusion (8)
- (-) Isotopes (1)
- (-) Molten Salt (1)
- (-) Nuclear Energy (11)
- (-) Space Exploration (2)
- (-) Transportation (6)
- Advanced Reactors (2)
- Artificial Intelligence (42)
- Big Data (16)
- Bioenergy (11)
- Biology (13)
- Biomedical (12)
- Biotechnology (3)
- Buildings (3)
- Chemical Sciences (5)
- Climate Change (19)
- Computer Science (84)
- Coronavirus (13)
- Cybersecurity (21)
- Decarbonization (6)
- Energy Storage (6)
- Exascale Computing (19)
- Frontier (25)
- Grid (8)
- High-Performance Computing (33)
- Machine Learning (21)
- Materials (14)
- Materials Science (15)
- Mathematics (1)
- Microscopy (7)
- Nanotechnology (10)
- National Security (34)
- Net Zero (1)
- Neutron Science (15)
- Partnerships (4)
- Physics (8)
- Quantum Computing (15)
- Quantum Science (21)
- Security (13)
- Simulation (11)
- Software (1)
- Summit (35)
- Sustainable Energy (10)
Media Contacts
Jack Orebaugh, a forensic anthropology major at the University of Tennessee, Knoxville, has a big heart for families with missing loved ones. When someone disappears in an area of dense vegetation, search and recovery efforts can be difficult, especially when a missing person’s last location is unknown. Recognizing the agony of not knowing what happened to a family or friend, Orebaugh decided to use his internship at the Department of Energy’s Oak Ridge National Laboratory to find better ways to search for lost and deceased people using cameras and drones.
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.
The world’s first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
ORNL will lead three new DOE-funded projects designed to bring fusion energy to the grid on a rapid timescale.
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.
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.
Creating energy the way the sun and stars do — through nuclear fusion — is one of the grand challenges facing science and technology. What’s easy for the sun and its billions of relatives turns out to be particularly difficult on Earth.
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.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.