Filter News
Area of Research
- Biology and Environment (23)
- Clean Energy (23)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Materials (19)
- Materials for Computing (5)
- National Security (15)
- Neutron Science (9)
- Nuclear Science and Technology (1)
- Quantum information Science (3)
- Supercomputing (59)
News Type
News Topics
- (-) Computer Science (81)
- (-) Exascale Computing (24)
- (-) Frontier (23)
- (-) Grid (23)
- (-) Microscopy (20)
- (-) Polymers (8)
- (-) Security (10)
- 3-D Printing/Advanced Manufacturing (35)
- Advanced Reactors (8)
- Artificial Intelligence (45)
- Big Data (21)
- Bioenergy (49)
- Biology (57)
- Biomedical (28)
- Biotechnology (10)
- Buildings (17)
- Chemical Sciences (21)
- Clean Water (14)
- Climate Change (47)
- Composites (6)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (43)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (100)
- Fossil Energy (4)
- Fusion (29)
- High-Performance Computing (42)
- Hydropower (5)
- Isotopes (26)
- ITER (2)
- Machine Learning (21)
- Materials (40)
- Materials Science (43)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (34)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (52)
- Partnerships (15)
- Physics (28)
- Quantum Computing (20)
- Quantum Science (30)
- Renewable Energy (1)
- Simulation (30)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (43)
- Transformational Challenge Reactor (3)
- Transportation (27)
Media Contacts
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.
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.
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.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
Steven Campbell can often be found deep among tall cases of power electronics, hunkered in his oversized blue lab coat, with 1500 volts of electricity flowing above his head. When interrupted in his laboratory at ORNL, Campbell will usually smile and duck his head.
To better understand important dynamics at play in flood-prone coastal areas, Oak Ridge National Laboratory scientists working on simulations of Earth’s carbon and nutrient cycles paid a visit to experimentalists gathering data in a Texas wetland.
Sreenivasa Jaldanki, a researcher in the Grid Systems Modeling and Controls group at the Department of Energy’s Oak Ridge National Laboratory, was recently elevated to senior membership in the Institute of Electrical and Electronics Engineers, or IEEE.