Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (20)
- Clean Energy (76)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (13)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (55)
- Materials for Computing (7)
- National Security (17)
- Neutron Science (15)
- Nuclear Science and Technology (6)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (42)
News Type
News Topics
- (-) Cybersecurity (20)
- (-) Energy Storage (72)
- (-) Fusion (23)
- (-) Grid (35)
- (-) High-Performance Computing (37)
- (-) Machine Learning (23)
- (-) Microscopy (27)
- (-) Quantum Science (36)
- (-) Space Exploration (13)
- 3-D Printing/Advanced Manufacturing (75)
- Advanced Reactors (23)
- Artificial Intelligence (42)
- 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)
- Decarbonization (26)
- Education (3)
- Element Discovery (1)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Hydropower (6)
- Irradiation (2)
- Isotopes (22)
- ITER (5)
- Materials (94)
- Materials Science (83)
- Mathematics (1)
- Mercury (5)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Nuclear Energy (43)
- Partnerships (27)
- Physics (28)
- Polymers (21)
- Quantum Computing (13)
- Renewable Energy (1)
- Security (12)
- Simulation (14)
- Statistics (3)
- Summit (26)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (59)
Media Contacts
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.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
Ateios Systems licensed an ORNL technology for solvent-free battery component production using electron curing. Through Innovation Crossroads, Ateios continues to work with ORNL to enable readiness for production-quality battery components.
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%.
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.
Used lithium-ion batteries from cell phones, laptops and a growing number of electric vehicles are piling up, but options for recycling them remain limited mostly to burning or chemically dissolving shredded batteries.
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 Department of Energy’s Office of Science has allocated supercomputer access to a record-breaking 75 computational science projects for 2024 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program. DOE is awarding 60% of the available time on the leadership-class supercomputers at DOE’s Argonne and Oak Ridge National Laboratories to accelerate discovery and innovation.
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.