Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (28)
- (-) Bioenergy (26)
- (-) Chemical Sciences (24)
- (-) Cybersecurity (14)
- (-) Emergency (1)
- (-) Exascale Computing (16)
- (-) Isotopes (17)
- (-) Microscopy (13)
- (-) Security (10)
- 3-D Printing/Advanced Manufacturing (27)
- Advanced Reactors (4)
- Big Data (13)
- Biology (31)
- Biomedical (11)
- Biotechnology (6)
- Buildings (14)
- Clean Water (6)
- Climate Change (32)
- Composites (10)
- Computer Science (43)
- Coronavirus (4)
- Critical Materials (8)
- Decarbonization (30)
- Education (3)
- Energy Storage (24)
- Environment (50)
- Fossil Energy (2)
- Frontier (19)
- Fusion (15)
- Grid (19)
- High-Performance Computing (33)
- Hydropower (3)
- Irradiation (2)
- Machine Learning (15)
- Materials (59)
- Materials Science (30)
- Mathematics (2)
- Mercury (4)
- Microelectronics (2)
- Molten Salt (5)
- Nanotechnology (16)
- National Security (21)
- Net Zero (5)
- Neutron Science (42)
- Nuclear Energy (34)
- Partnerships (24)
- Physics (25)
- Polymers (9)
- Quantum Computing (12)
- Quantum Science (12)
- Renewable Energy (2)
- Simulation (29)
- Software (1)
- Space Exploration (8)
- Summit (11)
- Sustainable Energy (17)
- Transportation (27)
Media Contacts
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.
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.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
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.
Benjamin Manard has been selected to receive the 2023 JAAS Emerging Investigator Lectureship
Caldera Holding, the owner and developer of Missouri’s Pea Ridge iron mine, has entered a nonexclusive research and development licensing agreement with ORNL to apply a membrane solvent extraction technique, or MSX, developed by ORNL researchers to mined ores.
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.
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.