Quantum precision reached in modeling molten salt behavior
The Powerline Conductor Accelerated Testing Facility at ORNL is testing new transmission line technologies to enhance the U.S. power grid's capacity amidst rising demand and climate challenges.
The Proton Power Upgrade project at ORNL's Spallation Neutron Source has achieved its final key performance parameter of 1,250 hours of neutron production at 1.7 megawatts of proton beam power on a newly developed target.
Larry Seiber, an R&D staff member in the Vehicle Power Electronics group at the Department of Energy’s Oak Ridge National Laboratory, has been elevated to senior member of the Institute of Electrical and Electronics Engineers.
Aditya Sundararajan of ORNL’s Grid Systems Architecture group was elevated to senior status within the Institute of Electrical and Electronics Engineers.
Huan Zhao, a Eugene P. Wiger Fellow at ORNL, focuses on advancing quantum materials and information technologies, inspired by his grandfather's passion for education. His research in energy-efficient memory devices and sensitive quantum light sources reflects his commitment to scientific progress and education equity.
Researchers led by the University of Melbourne, Australia, have been nominated for the Association for Computing Machinery’s 2024 Gordon Bell Prize in supercomputing for conducting a quantum molecular dynamics simulation 1,000 times greater in size and speed than any previous simulation of its kind.
Researchers from ORNL have taken a major step forward in using quantum mechanics to enhance sensing devices, a new advancement that could be used in a wide range of areas, including materials characterization, improved imaging and biological and medical applications.
Biochemist David Baker — just announced as a recipient of the Nobel Prize for Chemistry — turned to the High Flux Isotope Reactor (HFIR) at Oak Ridge National Laboratory for information he couldn’t get anywhere else. HFIR is the strongest reactor-based neutron source in the United States.
A new technology to continuously place individual atoms exactly where they are needed could lead to new materials for devices that address critical needs for the field of quantum computing and communication that cannot be produced by conventional means.
A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.