Filter News
Area of Research
- Advanced Manufacturing (4)
- Biological Systems (1)
- Biology and Environment (29)
- Clean Energy (64)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (27)
- Fusion Energy (14)
- Isotopes (7)
- Materials (53)
- Materials for Computing (8)
- National Security (27)
- Neutron Science (100)
- Nuclear Science and Technology (14)
- Quantum information Science (1)
- Sensors and Controls (2)
- Supercomputing (58)
News Type
News Topics
- (-) Artificial Intelligence (98)
- (-) Biomedical (59)
- (-) Fusion (55)
- (-) Grid (63)
- (-) Neutron Science (131)
- (-) Security (25)
- 3-D Printing/Advanced Manufacturing (119)
- Advanced Reactors (31)
- Big Data (54)
- Bioenergy (90)
- Biology (100)
- Biotechnology (23)
- Buildings (58)
- Chemical Sciences (70)
- Clean Water (30)
- Climate Change (98)
- Composites (28)
- Computer Science (189)
- Coronavirus (45)
- Critical Materials (28)
- Cybersecurity (34)
- Decarbonization (78)
- Education (5)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (104)
- Environment (186)
- Exascale Computing (42)
- Fossil Energy (6)
- Frontier (43)
- High-Performance Computing (90)
- Hydropower (11)
- Irradiation (2)
- Isotopes (54)
- ITER (7)
- Machine Learning (48)
- Materials (140)
- Materials Science (135)
- Mathematics (9)
- Mercury (12)
- Microelectronics (4)
- Microscopy (47)
- Molten Salt (9)
- Nanotechnology (54)
- National Security (68)
- Net Zero (13)
- Nuclear Energy (102)
- Partnerships (51)
- Physics (59)
- Polymers (29)
- Quantum Computing (37)
- Quantum Science (69)
- Renewable Energy (2)
- Simulation (50)
- Software (1)
- Space Exploration (25)
- Statistics (3)
- Summit (60)
- Sustainable Energy (123)
- Transformational Challenge Reactor (7)
- Transportation (88)
Media Contacts
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.
Effective Dec. 4, Gina Tourassi will assume responsibilities as associate laboratory director for the Computing and Computational Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory.
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 is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
A team of researchers associated with the Quantum Science Center headquartered at the Department of Energy's Oak Ridge National Laboratory has confirmed the presence of quantum spin liquid behavior in a new material with a triangular lattice, KYbSe2.
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.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.