Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (14)
- Clean Energy (45)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (24)
- Fusion Energy (13)
- Materials (14)
- Materials for Computing (1)
- National Security (9)
- Neutron Science (7)
- Nuclear Science and Technology (8)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (47)
News Topics
- (-) Fusion (53)
- (-) Grid (61)
- (-) Summit (57)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (34)
- Artificial Intelligence (90)
- Big Data (51)
- Bioenergy (90)
- Biology (97)
- Biomedical (58)
- Biotechnology (22)
- Buildings (56)
- Chemical Sciences (62)
- Clean Water (29)
- Climate Change (97)
- Composites (25)
- Computer Science (185)
- Coronavirus (46)
- Critical Materials (25)
- Cybersecurity (35)
- Decarbonization (78)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (108)
- Environment (194)
- Exascale Computing (37)
- Fossil Energy (5)
- Frontier (42)
- High-Performance Computing (84)
- Hydropower (11)
- Irradiation (3)
- Isotopes (51)
- ITER (7)
- Machine Learning (47)
- Materials (142)
- Materials Science (137)
- Mathematics (7)
- Mercury (12)
- Microelectronics (2)
- Microscopy (51)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (60)
- Net Zero (13)
- Neutron Science (130)
- Nuclear Energy (105)
- Partnerships (41)
- Physics (59)
- Polymers (32)
- Quantum Computing (31)
- Quantum Science (66)
- Renewable Energy (2)
- Security (24)
- Simulation (45)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Sustainable Energy (123)
- Transformational Challenge Reactor (7)
- Transportation (95)
Media Contacts
Scientists at ORNL are looking for a happy medium to enable the grid of the future, filling a gap between high and low voltages for power electronics technology that underpins the modern U.S. electric grid.
ORNL and the University of Tennessee, Knoxville, co-hosted the 2023 National Society of Black Physicists Annual Conference with the theme "Frontiers in Physics: From Quantum to Materials to the Cosmos.” As part of the three-day conference held near UT, attendees took a 30-mile trip to the ORNL campus for facility tours, science talks and workshops.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
ORNL will lead a new DOE-funded project designed to accelerate bringing fusion energy to the grid. The Accelerate award focuses on developing a fusion power plant design concept that supports remote maintenance and repair methods for the plasma-facing components in fusion power plants.
Two fusion energy leaders have joined ORNL in the Fusion and Fission Energy and Science Directorate, or FFESD.
A team from DOE’s Oak Ridge, Los Alamos and Sandia National Laboratories has developed a new solver algorithm that reduces the total run time of the Model for Prediction Across Scales-Ocean, or MPAS-Ocean, E3SM’s ocean circulation model, by 45%.
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.
ORNL is leading three research collaborations with fusion industry partners through the Innovation Network for FUSion Energy, or INFUSE, program that will focus on resolving technical challenges and developing innovative solutions to make practical fusion energy a reality.
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.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.