Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (24)
- Clean Energy (58)
- Computer Science (4)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (15)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (42)
- Materials for Computing (5)
- National Security (17)
- Neutron Science (11)
- Nuclear Science and Technology (10)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (35)
News Type
News Topics
- (-) Artificial Intelligence (33)
- (-) Climate Change (37)
- (-) Composites (11)
- (-) Energy Storage (55)
- (-) Machine Learning (18)
- (-) Nuclear Energy (39)
- (-) Quantum Computing (10)
- (-) Quantum Science (28)
- (-) Security (17)
- 3-D Printing/Advanced Manufacturing (56)
- Advanced Reactors (12)
- Big Data (14)
- Bioenergy (41)
- Biology (43)
- Biomedical (25)
- Biotechnology (11)
- Buildings (22)
- Chemical Sciences (38)
- Clean Water (7)
- Computer Science (70)
- Coronavirus (23)
- Critical Materials (12)
- Cybersecurity (23)
- Decarbonization (33)
- Education (3)
- Element Discovery (1)
- Environment (73)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (17)
- Fusion (21)
- Grid (22)
- High-Performance Computing (35)
- Hydropower (2)
- Isotopes (26)
- ITER (3)
- Materials (66)
- Materials Science (62)
- Mathematics (4)
- Mercury (6)
- Microscopy (25)
- Molten Salt (2)
- Nanotechnology (32)
- National Security (33)
- Net Zero (5)
- Neutron Science (57)
- Partnerships (26)
- Physics (40)
- Polymers (17)
- Renewable Energy (1)
- Simulation (12)
- Space Exploration (3)
- Statistics (2)
- Summit (22)
- Sustainable Energy (44)
- Transformational Challenge Reactor (4)
- Transportation (36)
Media Contacts
In partnership with the National Cancer Institute, researchers from ORNL and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.
Anuj J. Kapadia, who heads the Advanced Computing Methods for Health Sciences Section at ORNL, has been elected as president of the Southeastern Chapter of the American Association of Physicists in Medicine.
Chelsea Chen, a polymer physicist at ORNL, is studying ion transport in solid electrolytes that could help electric vehicle battery charges last longer.
In a win for chemistry, inventors at ORNL have designed a closed-loop path for synthesizing an exceptionally tough carbon-fiber-reinforced polymer, or CFRP, and later recovering all of its starting materials.
Ilenne Del Valle is merging her expertise in synthetic biology and environmental science to develop new technologies to help scientists better understand and engineer ecosystems for climate resilience.
EPB, ORNL announce plans for research collaborative focused on energy resilience, quantum technology
EPB and ORNL marked 10 years of collaboration with the announcement of the new Collaborative for Energy Resilience and Quantum Science. The new joint research effort will focus on utilizing Chattanooga’s highly advanced and integrated energy and communications infrastructure to develop technologies and best practices for enhancing the resilience and security of the national power grid while accelerating the commercialization of quantum technologies.
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.
It would be a challenge for any scientist to match Alexey Serov’s rate of inventions related to green hydrogen fuel. But this researcher at ORNL has 84 patents with at least 35 more under review, so his electrifying pace is unlikely to slow down any time soon.
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%.