Quantum precision reached in modeling molten salt behavior
Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energy’s Lawrence Berkeley and Oak Ridge national laboratories.
Gerald Tuskan, director of the Center for Bioenergy Innovation and a Corporate Fellow at ORNL, has been awarded the Marcus Wallenberg Prize, the world’s highest honor in the field of forestry, for his pioneering work in sequencing and analyzing the first tree genome.
Scientists at ORNL have developed a method that can track chemical changes in molten salt in real time — helping to pave the way for the deployment of molten salt reactors for energy production.
Using the Frontier supercomputer at ORNL, researchers have developed a new technique that predicts nuclear properties in record detail. The study revealed how the structure of a nucleus relates to the force that holds it together. This understanding could advance efforts in quantum physics and across a variety of sectors, from to energy production to national security.
P&G is using simulations on the ORNL Summit supercomputer to study how surfactants in cleaners cause eye irritation. By modeling the corneal epithelium, P&G aims to develop safer, concentrated cleaning products that meet performance and safety standards while supporting sustainability goals.
A team of scientists with two Department of Energy Bioenergy Research Centers — the Center for Bioenergy Innovation at Oak Ridge National Laboratory and the Center for Advanced Bioenergy and Bioproducts Innovation at the University of Illinois Urbana-Champaign — identified a gene in a poplar tree that enhances photosynthesis and can boost tree height by about 30% in the field and by as much as 200% in the greenhouse.
Plants the world over are absorbing about 31% more carbon dioxide than previously thought. The research, detailed in the journal Nature, is expected to improve Earth system simulations that scientists use to predict the future climate, and spotlights the importance of natural carbon sequestration for greenhouse gas mitigation.
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.
A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.
The contract will be awarded to develop the newest high-performance computing system at the Oak Ridge Leadership Computing Facility.