Filter News
Area of Research
- Biology and Environment (4)
- Clean Energy (36)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (8)
- Fusion Energy (1)
- Isotopes (1)
- Materials (18)
- Materials for Computing (3)
- National Security (14)
- Neutron Science (7)
- Nuclear Science and Technology (6)
- Quantum information Science (5)
- Sensors and Controls (1)
- Supercomputing (26)
News Type
News Topics
- (-) Advanced Reactors (19)
- (-) Grid (40)
- (-) Quantum Science (54)
- (-) Security (23)
- 3-D Printing/Advanced Manufacturing (81)
- Artificial Intelligence (72)
- Big Data (32)
- Bioenergy (73)
- Biology (79)
- Biomedical (46)
- Biotechnology (18)
- Buildings (35)
- Chemical Sciences (51)
- Clean Water (16)
- Climate Change (72)
- Composites (15)
- Computer Science (142)
- Coronavirus (35)
- Critical Materials (13)
- Cybersecurity (31)
- Decarbonization (65)
- Education (3)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (75)
- Environment (142)
- Exascale Computing (33)
- Fossil Energy (5)
- Frontier (38)
- Fusion (44)
- High-Performance Computing (68)
- Hydropower (5)
- Isotopes (42)
- ITER (4)
- Machine Learning (35)
- Materials (98)
- Materials Science (100)
- Mathematics (5)
- Mercury (9)
- Microelectronics (2)
- Microscopy (39)
- Molten Salt (3)
- Nanotechnology (46)
- National Security (54)
- Net Zero (11)
- Neutron Science (98)
- Nuclear Energy (83)
- Partnerships (39)
- Physics (55)
- Polymers (22)
- Quantum Computing (26)
- Renewable Energy (2)
- Simulation (37)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (50)
- Sustainable Energy (76)
- Transformational Challenge Reactor (7)
- Transportation (56)
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.
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.
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.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
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.
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.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
Quantum computers process information using quantum bits, or qubits, based on fragile, short-lived quantum mechanical states. To make qubits robust and tailor them for applications, researchers from the Department of Energy’s Oak Ridge National Laboratory sought to create a new material system.