Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (20)
- Building Technologies (1)
- Clean Energy (85)
- Climate and Environmental Systems (1)
- Computational Engineering (3)
- Computer Science (13)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (13)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (41)
- Materials for Computing (4)
- Mathematics (1)
- National Security (15)
- Neutron Science (12)
- Nuclear Science and Technology (10)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (53)
News Type
News Topics
- (-) Clean Water (14)
- (-) Computer Science (96)
- (-) Energy Storage (72)
- (-) Fusion (23)
- (-) Grid (35)
- (-) Machine Learning (23)
- (-) Molten Salt (7)
- (-) Space Exploration (13)
- 3-D Printing/Advanced Manufacturing (75)
- Advanced Reactors (23)
- Artificial Intelligence (42)
- Big Data (24)
- Bioenergy (39)
- Biology (39)
- Biomedical (28)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (38)
- Climate Change (44)
- Composites (18)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (27)
- Education (3)
- Element Discovery (1)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- High-Performance Computing (37)
- Hydropower (6)
- Irradiation (2)
- Isotopes (22)
- ITER (5)
- Materials (94)
- Materials Science (83)
- Mathematics (1)
- Mercury (5)
- Microscopy (27)
- Nanotechnology (38)
- National Security (21)
- Net Zero (4)
- Neutron Science (76)
- Nuclear Energy (44)
- Partnerships (28)
- Physics (28)
- Polymers (21)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Security (12)
- Simulation (15)
- Statistics (3)
- Summit (26)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (60)
Media Contacts
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
Pablo Moriano, a research scientist in the Computer Science and Mathematics Division at ORNL, was selected as a member of the 2024 Class of MGB-SIAM Early Career Fellows.
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.
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.
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.