Filter News
Area of Research
News Topics
- (-) Clean Water (5)
- (-) Climate Change (17)
- (-) Coronavirus (1)
- (-) Cybersecurity (6)
- (-) Frontier (13)
- (-) Space Exploration (4)
- 3-D Printing/Advanced Manufacturing (6)
- Artificial Intelligence (14)
- Big Data (6)
- Bioenergy (9)
- Biology (16)
- Biomedical (3)
- Biotechnology (1)
- Buildings (6)
- Chemical Sciences (10)
- Composites (2)
- Computer Science (11)
- Critical Materials (1)
- Decarbonization (17)
- Emergency (1)
- Energy Storage (7)
- Environment (28)
- Exascale Computing (11)
- Fossil Energy (2)
- Fusion (7)
- Grid (10)
- High-Performance Computing (18)
- Hydropower (2)
- Isotopes (7)
- Machine Learning (10)
- Materials (21)
- Materials Science (7)
- Mathematics (2)
- Mercury (1)
- Microelectronics (2)
- Microscopy (3)
- Nanotechnology (4)
- National Security (15)
- Net Zero (3)
- Neutron Science (19)
- Nuclear Energy (14)
- Partnerships (6)
- Physics (10)
- Polymers (2)
- Quantum Computing (6)
- Quantum Science (3)
- Renewable Energy (1)
- Security (1)
- Simulation (19)
- Software (1)
- Summit (7)
- Sustainable Energy (9)
- Transportation (4)
Media Contacts
Nuclear engineering students from the United States Military Academy and United States Naval Academy are working with researchers at ORNL to complete design concepts for a nuclear propulsion rocket to go to space in 2027 as part of the Defense Advanced Research Projects Agency DRACO program.
A 19-member team of scientists from across the national laboratory complex won the Association for Computing Machinery’s 2023 Gordon Bell Special Prize for Climate Modeling for developing a model that uses the world’s first exascale supercomputer to simulate decades’ worth of cloud formations.
A team of eight scientists won the Association for Computing Machinery’s 2023 Gordon Bell Prize for their study that used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
ORNL's Climate Change Science Institute and the Georgia Institute of Technology hosted a Southeast Decarbonization Workshop in November that drew scientists and representatives from government, industry, non-profits and other organizations to
The first climate scientist to head the Department of Energy’s Office of Science, Dr. Asmeret Asefaw Berhe, recently visited two ORNL-led field research facilities in Minnesota and Alaska to witness how these critically important projects are informing our understanding of the future climate and its impact on communities.
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 team that built Frontier set out to break the exascale barrier, but the supercomputer’s record-breaking didn’t stop there.
Making room for the world’s first exascale supercomputer took some supersized renovations.