Filter News
Area of Research
- Advanced Manufacturing (18)
- Biology and Environment (21)
- Building Technologies (1)
- Clean Energy (73)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (7)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (13)
- Fusion Energy (6)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (74)
- Materials Characterization (1)
- Materials for Computing (12)
- Materials Under Extremes (1)
- National Security (13)
- Neutron Science (23)
- Nuclear Science and Technology (17)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (1)
- Supercomputing (34)
- Transportation Systems (1)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (75)
- (-) Artificial Intelligence (42)
- (-) High-Performance Computing (37)
- (-) Materials Science (83)
- (-) Nuclear Energy (43)
- (-) Security (12)
- Advanced Reactors (23)
- Big Data (23)
- Bioenergy (39)
- Biology (39)
- Biomedical (28)
- Biotechnology (10)
- Buildings (31)
- Chemical Sciences (37)
- Clean Water (14)
- Climate Change (43)
- Composites (18)
- Computer Science (96)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (26)
- Education (3)
- Element Discovery (1)
- Energy Storage (72)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Fusion (23)
- Grid (35)
- Hydropower (6)
- Irradiation (2)
- Isotopes (22)
- ITER (5)
- Machine Learning (23)
- Materials (94)
- Mathematics (1)
- Mercury (5)
- Microscopy (27)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Partnerships (27)
- Physics (28)
- Polymers (21)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Simulation (14)
- Space Exploration (13)
- Statistics (3)
- Summit (26)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (59)
Media Contacts
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane and nitrous oxide.
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
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%.
Four researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
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.
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